Over 60 recipes to help you learn digital forensics and leverage Python *s to amplify your examinations About This Book ? Develop code that extracts vital information from everyday forensic acquisitions. ? Increase the quality and efficiency of your forensic analysis. ? Leverage the latest resources and capabilities available to the forensic community. Who This Book Is For If you are a digital forensics examiner, cyber security specialist, or analyst at heart, understand the basics of Python, and want to take it to the next level, this is the book for you. Along the way, you will be introduced to a number of libraries suitable for parsing forensic artifacts. Readers will be able to use and build upon the *s we develop to elevate their analysis. What You Will Learn ? Understand how Python can enhance digital forensics and investigations ? Learn to access the contents of, and process, forensic evidence containers ? Explore malware through automated static analysis ? Extract and review message contents from a variety of email formats ? Add depth and context to discovered IP addresses and domains through various Application Program Interfaces (APIs) ? Delve into mobile forensics and recover deleted messages from SQLite databases ? Index large logs into a platform to better query and visualize datasets In Detail Technology plays an increasingly large role in our daily lives and shows no sign of stopping. Now, more than ever, it is paramount that an investigator develops programming expertise to deal with increasingly large datasets. By leveraging the Python recipes explored throughout this book, we make the complex simple, quickly extracting relevant information from large datasets. You will explore, develop, and deploy Python code and libraries to provide meaningful results that can be immediately applied to your investigations. Throughout the Python Digital Forensics Cookbook, recipes include topics such as working with forensic evidence containers, parsing mobile and desktop operating system artifacts, extracting embedded metadata from documents and executables, and identifying indicators of compromise. You will also learn to integrate *s with Application Program Interfaces (APIs) such as VirusTotal and PassiveTotal, and tools such as Axiom, Cellebrite, and EnCase. By the end of the book, you will have a sound understanding of Python and how you can use it to process artifacts in your investigations. Style and approach Our succinct recipes take a no-frills approach to solving common challenges faced in investigations. The code in this book covers a wide range of artifacts and data sources. These examples will help improve the accuracy and efficiency of your analysis—no matter the situation.

Administer, configure, and monitor Junos in your organization About This Book ? Get well acquainted with security and routing policies to identify the use of firewall filters. ? Learn to provide end-user authentication and protect each layer in an enterprise network. ? A recipe-based guide that will help you configure and monitor Junos OS and basic device operations. Who This Book Is For This book targets network engineers, developers, support personals, and administrators who are working on devices running Junos OS and are looking at automating their organisation's operations. Some understanding about Junos would be necessary What You Will Learn ? Start using NETCONF RPC standard and understand its usefulness in programming JUNOS ? Write SLAX *s to respond to events in the JUNOS environment ? Automate JUNOS with PyEZ ? Deal with events in the JUNOS environment, and writing response handlers to deal with them ? Make the most of automation technologies to help with maintenance and monitoring of JUNOS ? Use the Ansible framework to extend the automation functionality of Junos In Detail The JUNOS Automation Cookbook is a companion guide for the complex field of automating tasks on JUNOS devices. With a foundation in industry-standrd XML, JUNOS provides an ideal environment for programmatic interation, allowing you to build upon the capabilities provided by Juniper, with your own original code. You will begin by learning about, and setting up, the industry-standard NETCONF remote procedure call mechanisms on your device. After initial setup, you'll walk through SLAX - Juniper's foundation *ing language - for manipulating XML representations of JUNOS concepts and elements. You'll learn how to write your own SLAX *s to customise the operating environment, and also how to write proactive event handlers that deal with situations as they happen. You'll then delve into PyEZ - Juniper's bridging framework to make automation accessible to Python code - allowing you to build automation applications in the popular *ing language. You'll witness some examples of how to write applications that can monitor configuration changes, implement BGP security policies and implement ad-hoc routing protocols, for those really tricky situations. You'll also leaarn how asynchronous I/O frameworks like Node.js can be used to implement automation applications that present an acceptable web interface. Along with way, you'll explore how to make use of the latest RESTful APIs that JUNOS provides, how to visualize aspects of your JUNOS network, and how to integrate your automation capabilities with enterprise-wide orchestration systems like Ansible. By the end of the book, you'll be able to tackle JUNOS automation challenges with confidence and understanding, and without hassle. Style and Approach A guide that will cover all the automation tools along with steps on leveraging these tools

Incorporate the assembly language routines in your high level language applications About This Book ? Understand the Assembly programming concepts and the benefits of examining the AL codes generated from high level languages ? Learn to incorporate the assembly language routines in your high level language applications ? Understand how a CPU works when programming in high level languages Who This Book Is For This book is for developers who would like to learn about Assembly language. Prior programming knowledge of C and C++ is assumed. What You Will Learn ? Obtain deeper understanding of the underlying platform ? Understand binary arithmetic and logic operations ? Create elegant and efficient code in Assembly language ? Understand how to link Assembly code to outer world ? Obtain in-depth understanding of relevant internal mechanisms of Intel CPU ? Write stable, efficient and elegant patches for running processes In Detail The Assembly language is the lowest level human readable programming language on any platform. Knowing the way things are on the Assembly level will help developers design their code in a much more elegant and efficient way. It may be produced by compiling source code from a high-level programming language (such as C/C++) but can also be written from scratch. Assembly code can be converted to machine code using an assembler. The first section of the book starts with setting up the development environment on Windows and Linux, mentioning most common toolchains. The reader is led through the basic structure of CPU and memory, and is presented the most important Assembly instructions through examples for both Windows and Linux, 32 and 64 bits. Then the reader would understand how high level languages are translated into Assembly and then compiled into object code. Finally we will cover patching existing code, either legacy code without sources or a running code in same or remote process. Style and approach This book takes a step-by-step, detailed approach to Comprehensively learning Assembly Programming.

This book breaks down the C++ STL, teaching you how to extract its gems and apply them to your programming. About This Book ? Boost your productivity as a C++ developer with the latest features of C++17 ? Develop high-quality, fast, and portable applications with the varied features of the STL ? Migrate from older versions (C++11, C++14) to C++17 Who This Book Is For This book is for developers who would like to master the C++ STL and make full use of its components. Prior C++ knowledge is assumed. What You Will Learn ? Make your own iterator types, allocators, and thread pools. ? Master every standard container and every standard algorithm. ? Improve your code by replacing new/delete with smart pointers. ? Understand the difference between monomorphic algorithms, polymorphic algorithms, and generic algorithms. ? Learn the meaning and applications of vocabulary type, product type and sum type. In Detail Modern C++ has come a long way since 2011. The latest update, C++17, has just been ratified and several implementations are on the way. This book is your guide to the C++ standard library, including the very latest C++17 features. The book starts by exploring the C++ Standard Template Library in depth. You will learn the key differences between classical polymorphism and generic programming, the foundation of the STL. You will also learn how to use the various algorithms and containers in the STL to suit your programming needs. The next module delves into the tools of modern C++. Here you will learn about algebraic types such as std::optional, vocabulary types such as std::function, smart pointers, and synchronization primitives such as std::atomic and std::mutex. In the final module, you will learn about C++'s support for regular expressions and file I/O. By the end of the book you will be proficient in using the C++17 standard library to implement real programs, and you'll have gained a solid understanding of the library's own internals. Style and approach This book takes a concise but comprehensive approach to explaining and applying the C++ STL, one feature at a time.

Step by Step guide filled with real world practical examples. About This Book ? Get your first experience with data analysis with one of the most powerful types of analysis—time-series. ? Find patterns in your data and predict the future pattern based on historical data. ? Learn the statistics, theory, and implementation of Time-series methods using this example-rich guide Who This Book Is For This book is for anyone who wants to analyze data over time and/or frequency. A statistical background is necessary to quickly learn the analysis methods. What You Will Learn ? Understand the basic concepts of Time Series Analysis and appreciate its importance for the success of a data science project ? Develop an understanding of loading, exploring, and visualizing time-series data ? Explore auto-correlation and gain knowledge of statistical techniques to deal with non-stationarity time series ? Take advantage of exponential smoothing to tackle noise in time series data ? Learn how to use auto-regressive models to make predictions using time-series data ? Build predictive models on time series using techniques based on auto-regressive moving averages ? Discover recent advancements in deep learning to build accurate forecasting models for time series ? Gain familiarity with the basics of Python as a powerful yet simple to write programming language In Detail Time Series Analysis allows us to analyze data which is generated over a period of time and has sequential interdependencies between the observations. This book describes special mathematical tricks and techniques which are geared towards exploring the internal structures of time series data and generating powerful de*ive and predictive insights. Also, the book is full of real-life examples of time series and their analyses using cutting-edge solutions developed in Python. The book starts with de*ive analysis to create insightful visualizations of internal structures such as trend, seasonality and autocorrelation. Next, the statistical methods of dealing with autocorrelation and non-stationary time series are described. This is followed by exponential smoothing to produce meaningful insights from noisy time series data. At this point, we shift focus towards predictive analysis and introduce autoregressive models such as ARMA and ARIMA for time series forecasting. Later, powerful deep learning methods are presented, to develop accurate forecasting models for complex time series, and under the availability of little domain knowledge. All the topics are illustrated with real-life problem scenarios and their solutions by best-practice implementations in Python. The book concludes with the Appendix, with a brief discussion of programming and solving data science problems using Python. Style and approach This book takes the readers from the basic to advance level of Time series analysis in a very practical and real world use cases.

A practical guide to help you tackle different real-time data processing and analytics problems using the best tools for each scenario About This Book ? Learn about the various challenges in real-time data processing and use the right tools to overcome them ? This book covers popular tools and frameworks such as Spark, Flink, and Apache Storm to solve all your distributed processing problems ? A practical guide filled with examples, tips, and tricks to help you perform efficient Big Data processing in real-time Who This Book Is For If you are a Java developer who would like to be equipped with all the tools required to devise an end-to-end practical solution on real-time data streaming, then this book is for you. Basic knowledge of real-time processing would be helpful, and knowing the fundamentals of Maven, Shell, and Eclipse would be great. What You Will Learn ? Get an introduction to the established real-time stack ? Understand the key integration of all the components ? Get a thorough understanding of the basic building blocks for real-time solution designing ? Garnish the search and visualization aspects for your real-time solution ? Get conceptually and practically acquainted with real-time analytics ? Be well equipped to apply the knowledge and create your own solutions In Detail With the rise of Big Data, there is an increasing need to process large amounts of data continuously, with a shorter turnaround time. Real-time data processing involves continuous input, processing and output of data, with the condition that the time required for processing is as short as possible. This book covers the majority of the existing and evolving open source technology stack for real-time processing and analytics. You will get to know about all the real-time solution aspects, from the source to the presentation to persistence. Through this practical book, you’ll be equipped with a clear understanding of how to solve challenges on your own. We’ll cover topics such as how to set up components, basic executions, integrations, advanced use cases, alerts, and monitoring. You’ll be exposed to the popular tools used in real-time processing today such as Apache Spark, Apache Flink, and Storm. Finally, you will put your knowledge to practical use by implementing all of the techniques in the form of a practical, real-world use case. By the end of this book, you will have a solid understanding of all the aspects of real-time data processing and analytics, and will know how to deploy the solutions in production environments in the best possible manner. Style and Approach In this practical guide to real-time analytics, each chapter begins with a basic high-level concept of the topic, followed by a practical, hands-on implementation of each concept, where you can see the working and execution of it. The book is written in a DIY style, with plenty of practical use cases, well-explained code examples, and relevant screenshots and diagrams.

This book shows JavaScript developers how to build highly dependable JavaScript projects using the Immutable.js framework. About This Book ? Master the Immutable.js JavaScript framework ? Build predictable and dependable applications using immutability ? Control how data flows through your application ? Control the effects of data flow in your user interface using Node.js Who This Book Is For This book is for JavaScript developers, from intermediate level and beyond, who need to create dependable JavaScript projects, using the Immutable.js JavaScript framework. What You Will Learn ? Learn how Immutable.js can improve the dependability of your JavaScript code ? Discover how to create Immutable data, and work with persistent changes ? See how to combine and filter collections, and find items ? Learn how to work with sequences and side effects ? Sort collections, maps, and sets ? Get to know tricks to avoid processing chains ? Compare and move between lists, sets, and maps ? Work with Immutable patterns and Immutable architecture In Detail Immutable.js is a JavaScript library that will improve the robustness and dependability of your larger JavaScript projects. All aspects of the Immutable.js framework are covered in this book, and common JavaScript situations are examined in a hands-on way so that you gain practical experience using Immutable.js that you can apply across your own JavaScript projects. The key to building robust JavaScript applications using immutability is to control how data flows through your application, and how the side-effects of these flows are managed. Many problems that are difficult to pinpoint in large codebases stem from data that’s been mutated where it shouldn’t have been. With immutable data, you rule out an entire class of bugs. Mastering Immutable.js takes a practical, hands-on approach throughout, and shows you the ins and outs of the Immutable.js framework so that you can confidently build successful and dependable JavaScript projects. Style and Approach Adam Boduch covers all the key concepts and benefits of immutability, and then presents you with hands-on practical experience on implementing immutability in your JavaScript projects.

Over 50 recipes to create full-stack high-performance web applications using pure JavaScript and the MEAN stack. About This Book ? Architect a fully functional stand-alone web application, including the web server, database, and front-end web application ? Improve the performance and maintainability of your MEAN stack application with tips for configuration and optimization ? Highlights MEAN Stack best practices when working with your application Who This Book Is For If you are a JavaScript developer who wants to create high-performing, modern web applications with the MEAN stack, this is the book for you. Web developers familiar with some parts of the MEAN stack will find this a comprehensive guide to fleshing out the other technologies and skills they need to build all JavaScript web applications. Developers interested in transitioning from other web application stacks to an all-JavaScript environment will find a wealth of information about how to work in a MEAN stack environment. To get the most from this book, you should have a general understanding of web servers and web applications. You are expected to have a basic understanding of running JavaScript, both in a web browser and outside it, using Node.js and the NPM package manager. What You Will Learn ? Bootstrap a new MEAN stack web application using Node.js and Express ? Build a single-page application (SPA) with Angular and Angular-CLI ? Improve browser performance by optimizing your web application resources using Webpack ? Model complex JSON object relationships in MongoDB using Mongoose ? Debug all the layers of a MEAN stack application, including working with source maps ? Build Restful APIs using Express.js and JSON Web Token (JWT) for user authentication ? Use automated testing to improve the reliability and quality of your MEAN stack application In Detail The MEAN Stack is a framework for web application development using JavaScript-based technologies; MongoDB, Express, Angular, and Node.js. If you want to expand your understanding of using JavaScript to produce a fully functional standalone web application, including the web server, user interface, and database, then this book can help guide you through that transition. This book begins by configuring the frontend of the MEAN stack web application using the Angular JavaScript framework. We then implement common user interface enhancements before moving on to configuring the server layer of our MEAN stack web application using Express for our backend APIs. You will learn to configure the database layer of your MEAN stack web application using MongoDB and the Mongoose framework, including modeling relationships between documents. You will explore advanced topics such as optimizing your web application using WebPack as well as the use of automated testing with the Mocha and Chai frameworks. By the end of the book, you should have acquired a level of proficiency that allows you to confidently build a full production-ready and scalable MEAN stack application. Style and Approach This book is a guide of MEAN Stack specific solutions to common web application problems and includes in-depth guides for each layer of the application stack. Readers looking to upgrade their MEAN Stack web application will find recipes within to help them transition.

Get to grips with pandas—a versatile and high-performance Python library for data manipulation, analysis, and discovery About This Book ? Get comfortable using pandas and Python as an effective data exploration and analysis tool ? Explore pandas through a framework of data analysis, with an explanation of how pandas is well suited for the various stages in a data analysis process ? A comprehensive guide to pandas with many of clear and practical examples to help you get up and using pandas Who This Book Is For This book is ideal for data scientists, data analysts, Python programmers who want to plunge into data analysis using pandas, and anyone with a curiosity about analyzing data. Some knowledge of statistics and programming will be helpful to get the most out of this book but not strictly required. Prior exposure to pandas is also not required. What You Will Learn ? Understand how data analysts and scientists think about of the processes of gathering and understanding data ? Learn how pandas can be used to support the end-to-end process of data analysis ? Use pandas Series and DataFrame objects to represent single and multivariate data ? Slicing and dicing data with pandas, as well as combining, grouping, and aggregating data from multiple sources ? How to access data from external sources such as files, databases, and web services ? Represent and manipulate time-series data and the many of the intricacies involved with this type of data ? How to visualize statistical information ? How to use pandas to solve several common data representation and analysis problems within finance In Detail You will learn how to use pandas to perform data analysis in Python. You will start with an overview of data analysis and iteratively progress from modeling data, to accessing data from remote sources, performing numeric and statistical analysis, through indexing and performing aggregate analysis, and finally to visualizing statistical data and applying pandas to finance. With the knowledge you gain from this book, you will quickly learn pandas and how it can empower you in the exciting world of data manipulation, analysis and science. Style and approach ? Step-by-step instruction on using pandas within an end-to-end framework of performing data analysis ? Practical demonstration of using Python and pandas using interactive and incremental examples

Over 100 recipes to help you overcome your difficulties with C++ programming and gain a deeper understanding of the working of modern C++ About This Book ? Explore the most important language and library features of C++17, including containers, algorithms, regular expressions, threads, and more, ? Get going with unit testing frameworks Boost.Test, Google Test and Catch, ? Extend your C++ knowledge and take your development skills to new heights by making your applications fast, robust, and scalable. Who This Book Is For If you want to overcome difficult phases of development with C++ and leverage its features using modern programming practices, then this book is for you. The book is designed for both experienced C++ programmers as well as people with strong knowledge of OOP concepts. What You Will Learn ? Get to know about the new core language features and the problems they were intended to solve ? Understand the standard support for threading and concurrency and know how to put them on work for daily basic tasks ? Leverage C++’s features to get increased robustness and performance ? Explore the widely-used testing frameworks for C++ and implement various useful patterns and idioms ? Work with various types of strings and look at the various aspects of compilation ? Explore functions and callable objects with a focus on modern features ? Leverage the standard library and work with containers, algorithms, and iterators ? Use regular expressions for find and replace string operations ? Take advantage of the new filesystem library to work with files and directories ? Use the new utility additions to the standard library to solve common problems developers encounter including string_view, any , optional and variant types In Detail C++ is one of the most widely used programming languages. Fast, efficient, and flexible, it is used to solve many problems. The latest versions of C++ have seen programmers change the way they code, giving up on the old-fashioned C-style programming and adopting modern C++ instead. Beginning with the modern language features, each recipe addresses a specific problem, with a discussion that explains the solution and offers insight into how it works. You will learn major concepts about the core programming language as well as common tasks faced while building a wide variety of software. You will learn about concepts such as concurrency, performance, meta-programming, lambda expressions, regular expressions, testing, and many more in the form of recipes. These recipes will ensure you can make your applications robust and fast. By the end of the book, you will understand the newer aspects of C++11/14/17 and will be able to overcome tasks that are time-consuming or would break your stride while developing. Style and approach This book follows a recipe-based approach, with examples that will empower you to implement the core programming language features and explore the newer aspects of C++.

Get up and running with the Pentaho Data Integration tool using this hands-on, easy-to-read guide About This Book ? Manipulate your data by exploring, transforming, validating, and integrating it using Pentaho Data Integration 8 CE ? A comprehensive guide exploring the features of Pentaho Data Integration 8 CE ? Connect to any database engine, explore the databases, and perform all kind of operations on relational databases Who This Book Is For This book is a must-have for software developers, business intelligence analysts, IT students, or anyone involved or interested in developing ETL solutions. If you plan on using Pentaho Data Integration for doing any data manipulation task, this book will help you as well. This book is also a good starting point for data warehouse designers, architects, or anyone who is responsible for data warehouse projects and needs to load data into them. What You Will Learn ? Explore the features and capabilities of Pentaho Data Integration 8 Community Edition ? Install and get started with PDI ? Learn the ins and outs of Spoon, the graphical designer tool ? Learn to get data from all kind of data sources, such as plain files, Excel spreadsheets, databases, and XML files ? Use Pentaho Data Integration to perform CRUD (create, read, update, and delete) operations on relationaldatabases ? Populate a data mart with Pentaho Data Integration ? Use Pentaho Data Integration to organize files and folders, run daily processes, deal with errors, and more In Detail Pentaho Data Integration(PDI) is an intuitive and graphical environment packed with drag-and-drop design and powerful Extract-Tranform-Load (ETL) capabilities. This book shows and explains the new interactive features of Spoon, the revamped look and feel, and the newest features of the tool including transformations and jobs Executors and the invaluable Metadata Injection capability. We begin with the installation of PDI software and then move on to cover all the key PDI concepts. Each of the chapter introduces new features, enabling you to gradually get practicing with the tool. First, you will learn to do all kind of data manipulation and work with simple plain files. Then, the book teaches you how you can work with relational databases inside PDI. Moreover, you will be given a primer on data warehouse concepts and you will learn how to load data in a data warehouse. During the course of this book, you will be familiarized with its intuitive, graphical and drag-and-drop design environment. By the end of this book, you will learn everything you need to know in order to meet your data manipulation requirements. Besides, your will be given best practices and advises for designing and deploying your projects. Style and approach Step by step guide filled with practical, real world scenarios and examples.

Master Wireshark and discover how to analyze network packets and protocols effectively, along with engaging recipes to troubleshoot network problems About This Book ? Gain valuable insights into the network and application protocols, and the key fields in each protocol ? Use Wireshark’s powerful statistical tools to analyze your network and leverage its expert system to pinpoint network problems ? Master Wireshark and train it as your network sniffer Who This Book Is For This book is aimed at IT professionals who want to develop or enhance their packet analysis skills. A basic familiarity with common network and application services terms and technologies is assumed. What You Will Learn ? Discover how packet analysts view networks and the role of protocols at the packet level ? Capture and isolate all the right packets to perform a thorough analysis using Wireshark’s extensive capture and display filtering capabilities ? Decrypt encrypted wireless traffic ? Use Wireshark as a diagnostic tool and also for network security analysis to keep track of malware ? Find and resolve problems due to bandwidth, throughput, and packet loss ? Identify and locate faults in communication applications including HTTP, FTP, mail, and various other applications – Microsoft OS problems, databases, voice, and video over IP ? Identify and locate faults in detecting security failures and security breaches in the network In Detail This Learning Path starts off installing Wireshark, before gradually taking you through your first packet capture, identifying and filtering out just the packets of interest, and saving them to a new file for later analysis. You will then discover different ways to create and use capture and display filters. By halfway through the book, you'll be mastering Wireshark features, analyzing different layers of the network protocol, and looking for any anomalies.We then start Ethernet and LAN switching, through IP, and then move on to TCP/UDP with a focus on TCP performance problems. It also focuses on WLAN security. Then, we go through application behavior issues including HTTP, mail, DNS, and other common protocols. This book finishes with a look at network forensics and how to locate security problems that might harm the network.This course provides you with highly practical content explaining Metasploit from the following books: 1) Wireshark Essentials 2) Network Analysis Using Wireshark Cookbook 3) Mastering Wireshark Style and approach This step-by-step guide follows a practical approach, starting from the basic to the advanced aspects. Through a series of real-world examples, this learning path will focus on making it easy for you to become an expert at using Wireshark.

Leverage the power of Type* 2.0 using real-world examples About This Book ? Begin with the fundamentals of TypeScript and learn how to write better JavaScript code ? Build three amazing applications throughout the book ? Leverage the power of tools such as Angular 2 and NativeScript to build for the web as well as for mobile Who This Book Is For Web developers who would like to learn how to use TypeScript to build amazing applications will benefit from this book. What You Will Learn ? Design your first project in Visual Studio ? Learn about the different data types in TypeScript ? Create web applications in an object-oriented fashion using TypeScript ? Build a Trello application using TypeScript's complex features. ? Explore the tools available in a web application ecosystem to write unit test cases ? Deploy web applications to cloud and assign resources to the application In Detail The TypeScript language, compiler, and open source development toolset brings JavaScript development up to the enterprise level. It allows you to use ES5, ES6, and ES7 JavaScript language features today, including classes, interfaces, generics, modules, and more. Its simple typing syntax enables building large, robust applications using object-oriented techniques and industry-standard design principles. This book aims at teaching you how to get up and running with TypeScript development in the most practical way possible. Taking you through two exciting projects built from scratch, you will learn the basics of TypeScript, before progressing to functions, generics, promises, and callbacks. Then, you’ll get to implement object-oriented programming as well as optimize your applications with effective memory management. You’ll also learn to test and secure your applications, before deploying them. Starting with a basic SPA built using Angular, you will progress on to building, maybe, a Chat application or a cool application. You’ll also learn how to use NativeScript to build a cool mobile application. Each of these applications with be explained in detail, allowing you to grasp the concepts fast. By the end of this book, you will have not only built two amazing projects but you will also have the skills necessary to take your development to the next level. Style and approach Example-based approach to get you quickly started with Type*

Deliver end-to-end real-time distributed data processing solutions by leveraging the power of Elastic Stack 6.0 About This Book ? Get to grips with the new features introduced in Elastic Stack 6.0 ? Get valuable insights from your data by working with the different components of the Elastic stack such as Elasticsearch, Logstash, Kibana, X-Pack, and Beats ? Includes handy tips and techniques to build, deploy and manage your Elastic applications efficiently on-premise or on the cloud Who This Book Is For This book is for data professionals who want to get amazing insights and business metrics from their data sources. If you want to get a fundamental understanding of the Elastic Stack for distributed, real-time processing of data, this book will help you. A fundamental knowledge of JSON would be useful, but is not mandatory. No previous experience with the Elastic Stack is required. What You Will Learn ? Familiarize yourself with the different components of the Elastic Stack ? Get to know the new functionalities introduced in Elastic Stack 6.0 ? Effectively build your data pipeline to get data from terabytes or petabytes of data into Elasticsearch and Logstash for searching and logging ? Use Kibana to visualize data and tell data stories in real-time ? Secure, monitor, and use the alerting and reporting capabilities of Elastic Stack ? Take your Elastic application to an on-premise or cloud-based production environment In Detail The Elastic Stack is a powerful combination of tools for distributed search, analytics, logging, and visualization of data from medium to massive data sets. The newly released Elastic Stack 6.0 brings new features and capabilities that empower users to find unique, actionable insights through these techniques. This book will give you a fundamental understanding of what the stack is all about, and how to use it efficiently to build powerful real-time data processing applications. After a quick overview of the newly introduced features in Elastic Stack 6.0, you’ll learn how to set up the stack by installing the tools, and see their basic configurations. Then it shows you how to use Elasticsearch for distributed searching and analytics, along with Logstash for logging, and Kibana for data visualization. It also demonstrates the creation of custom plugins using Kibana and Beats. You’ll find out about Elastic X-Pack, a useful extension for effective security and monitoring. We also provide useful tips on how to use the Elastic Cloud and deploy the Elastic Stack in production environments. On completing this book, you’ll have a solid foundational knowledge of the basic Elastic Stack functionalities. You’ll also have a good understanding of the role of each component in the stack to solve different data processing problems. Style and approach This step-by-step guide will show you the Elastic Stack, covering all the components through interactive and easy-to-follow examples. It also includes handy tips.

Simplify real-time data processing by leveraging the power of Apache Kafka 1.0 About This Book ? Use Kafka 1.0 features such as Confluent platforms and Kafka streams to build efficient streaming data applications to handle and process your data ? Integrate Kafka with other Big Data tools such as Apache Hadoop, Apache Spark, and more ? Hands-on recipes to help you design, operate, maintain, and secure your Apache Kafka cluster with ease Who This Book Is For This book is for developers and Kafka administrators who are looking for quick, practical solutions to problems encountered while operating, managing or monitoring Apache Kafka. If you are a developer, some knowledge of Scala or Java will help, while for administrators, some working knowledge of Kafka will be useful. What You Will Learn ? Install and configure Apache Kafka 1.0 to get optimal performance ? Create and configure Kafka Producers and Consumers ? Operate your Kafka clusters efficiently by implementing the mirroring technique ? Work with the new Confluent platform and Kafka streams, and achieve high availability with Kafka ? Monitor Kafka using tools such as Graphite and Ganglia ? Integrate Kafka with third-party tools such as Elasticsearch, Logstash, Apache Hadoop, Apache Spark, and more In Detail Apache Kafka provides a unified, high-throughput, low-latency platform to handle real-time data feeds. This book will show you how to use Kafka efficiently, and contains practical solutions to the common problems that developers and administrators usually face while working with it. This practical guide contains easy-to-follow recipes to help you set up, configure, and use Apache Kafka in the best possible manner. You will use Apache Kafka Consumers and Producers to build effective real-time streaming applications. The book covers the recently released Kafka version 1.0, the Confluent Platform and Kafka Streams. The programming aspect covered in the book will teach you how to perform important tasks such as message validation, enrichment and composition.Recipes focusing on optimizing the performance of your Kafka cluster, and integrate Kafka with a variety of third-party tools such as Apache Hadoop, Apache Spark, and Elasticsearch will help ease your day to day collaboration with Kafka greatly. Finally, we cover tasks related to monitoring and securing your Apache Kafka cluster using tools such as Ganglia and Graphite. If you're looking to become the go-to person in your organization when it comes to working with Apache Kafka, this book is the only resource you need to have. Style and approach Following a cookbook recipe-based approach, we’ll teach you how to solve everyday difficulties and struggles you encounter using Kafka through hands-on examples.

Learn the importance of architectural and design patterns in producing and sustaining next-generation IT and business-critical applications with this guide. About This Book ? Use patterns to tackle communication, integration, application structure, and more ? Implement modern design patterns such as microservices to build resilient and highly available applications ? Choose between the MVP, MVC, and MVVM patterns depending on the application being built Who This Book Is For This book will empower and enrich IT architects (such as enterprise architects, software product architects, and solution and system architects), technical consultants, evangelists, and experts. What You Will Learn ? Understand how several architectural and design patterns work to systematically develop multitier web, mobile, embedded, and cloud applications ? Learn object-oriented and component-based software engineering principles and patterns ? Explore the frameworks corresponding to various architectural patterns ? Implement domain-driven, test-driven, and behavior-driven methodologies ? Deploy key platforms and tools effectively to enable EA design and solutioning ? Implement various patterns designed for the cloud paradigm In Detail Enterprise Architecture (EA) is typically an aggregate of the business, application, data, and infrastructure architectures of any forward-looking enterprise. Due to constant changes and rising complexities in the business and technology landscapes, producing sophisticated architectures is on the rise. Architectural patterns are gaining a lot of attention these days. The book is divided in three modules. You'll learn about the patterns associated with object-oriented, component-based, client-server, and cloud architectures. The second module covers Enterprise Application Integration (EAI) patterns and how they are architected using various tools and patterns. You will come across patterns for Service-Oriented Architecture (SOA), Event-Driven Architecture (EDA), Resource-Oriented Architecture (ROA), big data analytics architecture, and Microservices Architecture (MSA). The final module talks about advanced topics such as Docker containers, high performance, and reliable application architectures. The key takeaways include understanding what architectures are, why they're used, and how and where architecture, design, and integration patterns are being leveraged to build better and bigger systems. Style and Approach This book adopts a hands-on approach with real-world examples and use cases.

Implement your Business Intelligence solutions without any coding - by leveraging the power of the Alteryx platform About This Book ? Experience the power of codeless analytics using Alteryx, a leading Business Intelligence tool ? Uncover hidden trends and valuable insights from your data across different sources and make accurate predictions ? Includes real-world examples to put your understanding of the features in Alteryx to practical use Who This Book Is For This book is for aspiring data professionals who want to learn and implement self-service analytics from scratch, without any coding. Those who have some experience with Alteryx and want to gain more proficiency will also find this book to be useful. A basic understanding of the data science concepts is all you need to get started with this book. What You Will Learn ? Create efficient workflows with Alteryx to answer complex business questions ? Learn how to speed up the cleansing, data preparing, and shaping process ? Blend and join data into a single dataset for self-service analysis ? Write advanced expressions in Alteryx leading to an optimal workflow for efficient processing of huge data ? Develop high-quality, data-driven reports to improve consistency in reporting and analysis ? Explore the flexibility of macros by automating analytic processes ? Apply predictive analytics from spatial, demographic, and behavioral analysis and quickly publish, schedule ? Share your workflows and insights with relevant stakeholders In Detail Alteryx, as a leading data blending and advanced data analytics platform, has taken self-service data analytics to the next level. Companies worldwide often find themselves struggling to prepare and blend massive datasets that are time-consuming for analysts. Alteryx solves these problems with a repeatable workflow designed to quickly clean, prepare, blend, and join your data in a seamless manner. This book will set you on a self-service data analytics journey that will help you create efficient workflows using Alteryx, without any coding involved. It will empower you and your organization to take well-informed decisions with the help of deeper business insights from the data.Starting with the fundamentals of using Alteryx such as data preparation and blending, you will delve into the more advanced concepts such as performing predictive analytics. You will also learn how to use Alteryx’s features to share the insights gained with the relevant decision makers. To ensure consistency, we will be using data from the Healthcare domain throughout this book. The knowledge you gain from this book will guide you to solve real-life problems related to Business Intelligence confidently. Whether you are a novice with Alteryx or an experienced data analyst keen to explore Alteryx’s self-service analytics features, this book will be the perfect companion for you. Style and approach Comprehensive, step by step guide filled with real-world examples to step through the complex business questions using one of the leading data analytics platform.

A comprehensive guide to learning Cacti and using it to implement performance measurement and reporting within a Network Operations Center About This Book ? A complete Cacti book that focuses on the basics as well as the advanced concepts you need to know for implementing a Network Operations Center ? A step-by-step Beginner's Guide with detailed instructions on how to create and implement custom plugins ? Written by Thomas Urban – creator of the "Cereus" and "NMID" plugins for Cacti known as Phalek in the Cacti forum Who This Book Is For If you are a network operator and want to use Cacti for implementing performance measurement for trending, troubleshooting, and reporting purposes, then this book is for you. You only need to know the basics of network management and SNMP. What You Will Learn ? Setting up Cacti on Linux and Windows systems ? Extending the core functionality by using the plugin architecture ? Building your own custom plugins ? Creating your own custom data input method to retrieve data from your systems ? Using SNMP, SSH, and WMI to retrieve remote performance data ? Designing and create enterprise-class reports with the reporting plugins ? Implementing threshold-based alerting using the Thold plugin ? Automating common administrative tasks utilizing the command-line interface and the automate functionality ? Migrating Cacti to new servers ? Building a multi remote-poller environment In Detail Cacti is a performance measurement tool that provides easy methods and functions for gathering and graphing system data. You can use Cacti to develop a robust event management system that can alert on just about anything you would like it to. But to do that, you need to gain a solid understanding of the basics of Cacti, its plugin architecture, and automation concepts. Cacti Beginner's Guide will introduce you to the wide variety of features of Cacti and will guide you on how to use them for maximum effectiveness. Advanced topics such as the plugin architecture and Cacti automation using the command-line interface will help you build a professional performance measurement system. Designed as a beginner's guide, the book starts off with the basics of installing and using Cacti, and also covers the advanced topics that will show you how to customize and extend the core Cacti functionalities. The book offers essential tutorials for creating advanced graphs and using plugins to create enterprise-class reports to show your customers and colleagues. From data templates to input methods and plugin installation to creating your own customized plugins, this book provides you with a rich selection of step-by-step instructions to reach your goals. It covers all you need to know to implement professional performance measurement techniques with Cacti and ways to fully customize Cacti to fit your needs. You will also learn how to migrate Cacti to new servers. Lastly you will also be introduced to the latest feature of building a scalable remote poller environment. By the end of the book, you will be able to implement and extend Cacti to monitor, display, and report the performance of your network exactly the way you want. Style and approach Written for beginners to Cacti, this book contains step-by-step instructions and hands-on tutorials for network operators to learn how to implement and use the core Cacti functions.

Perform Interactive Data Analysis with Smarter Visualizations and Support your Enterprise-wide Analytical Needs About This Book ? Get a practical demonstration of discovering data for sales, human resources, and more using Qlik Sense ? Create dynamic dashboards for business intelligence and predictive analytics ? Create and collaborate comprehensive analytical solutions using Rattle and Qlik Sense Who This Book Is For This course is for anyone who wishes to understand and utilize the various new approaches to business intelligence actively in their business practice. Knowing the basics of business intelligence concepts would be helpful when picking up this course, but is not mandatory. What You Will Learn ? Build simple visualization models with Rattle and Qlik Sense Desktop ? Get to grips with the life cycle and new visualization functions of a Qlik Sense application ? Discover simple ways to examine data and get it ready for analysis ? Visualize your data with Qlik Sense's engaging and informative graphs ? Build efficient and responsive Associative Models ? Optimize Qlik Sense for sales, human resources, and demographic data discovery ? Explore various tips and tricks of navigation for the Qlik Sense? front end ? Develop creative extensions for your Qlik Sense? dashboard In Detail Qlik Sense is powerful and creative visual analytics software that allows users to discover data, explore it, and dig out meaningful insights in order to make a profit and make decisions for your business. This course begins by introducing you to the features and functions of the most modern edition of Qlik Sense so you get to grips with the application. The course will teach you how to administer the data architecture in Qlik Sense, enabling you to customize your own Qlik Sense application for your business intelligence needs. It also contains numerous recipes to help you overcome challenging situations while creating fully featured desktop applications in Qlik Sense. It explains how to combine Rattle and Qlik Sense Desktop to apply predictive analytics to your data to develop real-world interactive data applications. The course includes premium content from three of our most popular books: ? Learning Qlik Sense: The Official Guide Second Edition ? Qlik Sense Cookbook ? Predictive Analytics using Rattle and Qlik Sense On completion of this course, you will be self-sufficient in improving your data analysis and will know how to apply predictive analytics to your datasets. Through this course, you will be able to create predictive models and data applications, allowing you to explore your data insights much deeper. Style and approach The course will follow a practical approach with rich set of examples through which it will demonstrate its concepts, features and its implementation. The course will also feature numerous solutions which will cover entire spectrum of BI use cases.

Explore the necessary concepts of REST API development by building few real world services from scratch. About This Book ? Follow best practices and explore techniques such as clustering and caching to achieve a reactive, scalable web service ? Leverage the Buffalo Framework to quickly implement RESTful endpoints ? Learn to implement a client library for a RESTful web service using Go Who This Book Is For This book is intended for those who want to learn to build RESTful web services with a framework like Buffalo. To make best use of the code samples included in the book, you should have a basic knowledge of Go programming. What You Will Learn ? Create HTTP handler and introspect the Gorilla Mux router ? OAuth 2 implementation with Go ? Build RESTFul API with go-restful, Revel.Go and Buffalo Go ? Create REST API with MongoDB and Go ? Build a working client library and unit test for REST API ? Debug, test, and profile RESTful APIs with each of the frameworks ? Optimize and scale REST API using microservices In Detail REST is an architectural style that tackles the challenges of building scalable web services and in today's connected world, APIs have taken a central role on the web. APIs provide the fabric through which systems interact, and REST has become synonymous with APIs. The depth, breadth, and ease of use of Go, makes it a breeze for developers to work with it to build robust Web APIs. This book takes you through the design of RESTful web services and leverages a framework like Buffalo Go to implement these services. The book starts with a brief introduction to REST API development and how it transformed the modern web. You will learn how to handle routing and authentication of web services along with working with middleware for internal service. The book explains how to use Go frameworks to build RESTful web services and work with MongoDB to create REST API. You will learn how to integrate Postgres SQL and JSON with a Go web service and build a client library in Go for consuming REST API. You will learn how to scale APIs using the microservice architecture and deploy the REST APIs using Nginx as a proxy server. Finally you will learn how to metricize a REST API using an API Gateway. By the end of the book you will be proficient in building RESTful APIs in Go. Style and approach This book is a step-by-step, hands-on guide to designing and building RESTful web services.

Deliver great business value by adopting the virtualization platform VMware vSphere 6.5, from the design to the deployment About This Book ? This new edition is based on vSphere 6.5 and has described new features in different areas, including management, security, scalability, availability and so on. ? Design, deploy and manage VMware datacenters ? Implement monitoring and security of VMware workloads with ease. Who This Book Is For If you are an administrator, infrastructure engineer, IT architect, or an IT consultant and analyst who has basic knowledge of VMware vSphere and now wants to master it, then this book is for you. What You Will Learn ? Get a deep understanding of vSphere 6.5 functionalities ? Design and plan a virtualization environment based on vSphere 6.5 ? Manage and administer a vSphere 6.5 environment and resources ? Get tips for the VCP6-DCV and VCIX6-DCV exams (along with use of the vSphere 6 documentation) ? Implement different migration techniques to move your workload across different environments. ? Save your configuration, data and workload from your virtual infrastructure. In Detail VMware vSphere 6.5 provides a powerful, flexible and secure foundation for next-generation applications which helps you create an effective digital transformation. This book will be based on VMware vSphere 6.5 which empowers you to virtualize any complex application with ease. You’ll begin by getting an overview of all the products, solutions and features of the vSphere 6.5 suite, comparing the evolutions with the previous releases. Next ,you’ll design and plan a virtualization infrastructure to drive planning and performance analysis. Following this , you will be proceeding with workflow and installation of components. New network trends are also covered which will help you in optimally designing the vSphere environment. You will also learn the practices and procedures involved in configuring and managing virtual machines in a vSphere infrastructure. With vSphere 6.5, you’ll make use of significantly more powerful capabilities for patching, upgrading, and managing the configuration of the virtual environment. Next we’ll focus on specific availability and resiliency solutions in vSphere. Towards the end of the book you will get information on how to save your configuration, data and workload from your virtual infrastructure. By the end of the book you’ll learn about VMware vSphere 6.5 right from design to deployment and management. Style and Approach This book acts as a reference guide providing real-world scenarios and a possible baseline for each virtualization project based on VMware vSphere.