Real-time Analytics with Storm and Cassandra
This book will teach you how to use Storm for real-time data processing and to make your applications highly available with no downtime using Cassandra. The book starts off with the basics of Storm and its components along with setting up the environment for the execution of a Storm topology in local and distributed mode. Moving on, you will explore the Storm and Zookeeper configurations, understand the Storm UI, set up Storm clusters, and monitor Storm clusters using various tools. You will then add NoSQL persistence to Storm and set up a Cassandra cluster. You will do all this while being guided by the best practices for Storm and Cassandra applications. Next, you will learn about data partitioning and consistent hashing in Cassandra through examples and also see high availability features and replication in Cassandra. Finally, you'll learn about different methods that you can use to manage and maintain Cassandra and Storm. ...
This book will teach you how to use Storm for real-time data processing and to make your applications highly available with no downtime using Cassandra. The book starts off with the basics of Storm and its components along with setting up the environment for the execution of a Storm topology in local and distributed mode. Moving on, you will explore the Storm and Zookeeper configurations, understand the Storm UI, set up Storm clusters, and monitor Storm clusters using various tools. You will then add NoSQL persistence to Storm and set up a Cassandra cluster. You will do all this while being guided by the best practices for Storm and Cassandra applications. Next, you will learn about data partitioning and consistent hashing in Cassandra through examples and also see high availability features and replication in Cassandra. Finally, you'll learn about different methods that you can use to manage and maintain Cassandra and Storm. ...
SignalR Real-time Application Cookbook
SignalR is a recent addition to ASP.NET, which allows you to add real-time functionalities to your applications. SignalR enables bidirectional communication between client and server over HTTP, transparently, and ensures you're always provided with the experience of a persistent connection. SignalR Real-time Application Cookbook is a practical, hands-on guide that provides a number of clear step-by-step recipes that will gradually enable you to add SignalR as an innovative, effective, and useful item in your toolbox. This book will move from simple examples on to complex use cases, going through a comprehensive overview of the library. Other than helping out with the common tasks, at the end of the book you will find a set of ready-made solutions for more complex scenarios. ...
SignalR is a recent addition to ASP.NET, which allows you to add real-time functionalities to your applications. SignalR enables bidirectional communication between client and server over HTTP, transparently, and ensures you're always provided with the experience of a persistent connection. SignalR Real-time Application Cookbook is a practical, hands-on guide that provides a number of clear step-by-step recipes that will gradually enable you to add SignalR as an innovative, effective, and useful item in your toolbox. This book will move from simple examples on to complex use cases, going through a comprehensive overview of the library. Other than helping out with the common tasks, at the end of the book you will find a set of ready-made solutions for more complex scenarios. ...
Storm Blueprints: Patterns for Distributed Real-time Computation
Storm is the most popular framework for real-time stream processing. Storm provides the fundamental primitives and guarantees required for fault-tolerant distributed computing in high-volume, mission critical applications. It is both an integration technology as well as a data flow and control mechanism, making it the core of many big data platforms. Storm is essential if you want to deploy, operate, and develop data processing flows capable of processing billions of transactions. Storm: Distributed Real-time Computation Blueprints - covers a broad range of distributed computing topics, including not only design and integration patterns, but also domains and applications to which the technology is immediately useful and commonly applied. This book introduces you to Storm using real-world examples, beginning with simple Storm topologies. ...
Storm is the most popular framework for real-time stream processing. Storm provides the fundamental primitives and guarantees required for fault-tolerant distributed computing in high-volume, mission critical applications. It is both an integration technology as well as a data flow and control mechanism, making it the core of many big data platforms. Storm is essential if you want to deploy, operate, and develop data processing flows capable of processing billions of transactions. Storm: Distributed Real-time Computation Blueprints - covers a broad range of distributed computing topics, including not only design and integration patterns, but also domains and applications to which the technology is immediately useful and commonly applied. This book introduces you to Storm using real-world examples, beginning with simple Storm topologies. ...
Socket.IO Real-time Web Application Development
The expectations of users for interactivity withweb applications have changed over the past few years. No more does the user want to press the refresh button to check if new messages have arrived in their inbox; people expect to see updates in their applications in real-time. Mass multiplayer online games have given up the requirement of plugins and are built entirely in JavaScript. Socket.io enables you to build these highly interactive applications that work cross-browser. Socket.io Real-time Web Application Development - is a guide to building, deploying, and scaling highly interactive real-time web applications using socket.io. This book will guide you through the building of a chat system using Node.js and socket.io, helping you get familiar with various features of the framework. Going further it will empower you to deploy and scale your applications in production. ...
The expectations of users for interactivity withweb applications have changed over the past few years. No more does the user want to press the refresh button to check if new messages have arrived in their inbox; people expect to see updates in their applications in real-time. Mass multiplayer online games have given up the requirement of plugins and are built entirely in JavaScript. Socket.io enables you to build these highly interactive applications that work cross-browser. Socket.io Real-time Web Application Development - is a guide to building, deploying, and scaling highly interactive real-time web applications using socket.io. This book will guide you through the building of a chat system using Node.js and socket.io, helping you get familiar with various features of the framework. Going further it will empower you to deploy and scale your applications in production. ...
Storm Real-time Processing Cookbook
Storm is a free and open source distributed real-time computation system. Storm makes it easy to reliably process unbounded streams of data, doing for real-time processing what Hadoop did for batch processing. Storm is simple, can be used with any programming language, and is a lot of fun to use! Storm Real Time Processing Cookbook will have basic to advanced recipes on Storm for real-time computation. The book begins with setting up the development environment and then teaches log stream processing. This will be followed by real-time payments workflow, distributed RPC, integrating it with other software such as Hadoop and Apache Camel, and more. ...
Storm is a free and open source distributed real-time computation system. Storm makes it easy to reliably process unbounded streams of data, doing for real-time processing what Hadoop did for batch processing. Storm is simple, can be used with any programming language, and is a lot of fun to use! Storm Real Time Processing Cookbook will have basic to advanced recipes on Storm for real-time computation. The book begins with setting up the development environment and then teaches log stream processing. This will be followed by real-time payments workflow, distributed RPC, integrating it with other software such as Hadoop and Apache Camel, and more. ...
SignalR: Real-time Application Development
Real-time development is one of the fastest growing trends in application development. Users want their data there and then with no delay. This used to be near impossible to achieve but with new frameworks it is becoming more and more accessible. SignalR is a .NET framework that allows you to include this powerful technique into any of your applications in next to no time. SignalR: Real-time Application Development is a hands-on, step-by-step guide that will take you from the basics of SignalR to more advanced techniques, such as making your application cloud ready and making it scalable. If you want your applications to be enterprise grade then SignalR, together with this book, is the only answer. ...
Real-time development is one of the fastest growing trends in application development. Users want their data there and then with no delay. This used to be near impossible to achieve but with new frameworks it is becoming more and more accessible. SignalR is a .NET framework that allows you to include this powerful technique into any of your applications in next to no time. SignalR: Real-time Application Development is a hands-on, step-by-step guide that will take you from the basics of SignalR to more advanced techniques, such as making your application cloud ready and making it scalable. If you want your applications to be enterprise grade then SignalR, together with this book, is the only answer. ...
Real Time Analytics with SAP HANA
SAP HANA is an in-memory database created by SAP. SAP HANA breaks traditional database barriers to simplify IT landscapes, eliminating data preparation, pre-aggregation, and tuning. SAP HANA and in-memory computing allow you to instantly access huge volumes of structured and unstructured data, including text data, from different sources. Starting with data modeling, this fast-paced guide shows you how to add a system to SAP HANA Studio, create a schema, packages, and delivery unit. Moving on, you'll get an understanding of real-time replication via SLT and learn how to use SAP HANA Studio to perform this. We'll also have a quick look at SAP Business Object DATA service and SAP Direct Extractor for Data Load. After that, you will learn to create HANA artifacts - Analytical Privileges and Calculation View. At the end of the book, we will explore the SMART DATA access option and AFL library, and finally deliver pre-packaged functionality that can be used to build information models fas ...
SAP HANA is an in-memory database created by SAP. SAP HANA breaks traditional database barriers to simplify IT landscapes, eliminating data preparation, pre-aggregation, and tuning. SAP HANA and in-memory computing allow you to instantly access huge volumes of structured and unstructured data, including text data, from different sources. Starting with data modeling, this fast-paced guide shows you how to add a system to SAP HANA Studio, create a schema, packages, and delivery unit. Moving on, you'll get an understanding of real-time replication via SLT and learn how to use SAP HANA Studio to perform this. We'll also have a quick look at SAP Business Object DATA service and SAP Direct Extractor for Data Load. After that, you will learn to create HANA artifacts - Analytical Privileges and Calculation View. At the end of the book, we will explore the SMART DATA access option and AFL library, and finally deliver pre-packaged functionality that can be used to build information models fas ...
The NGINX Real-Time API Handbook
Discover how to deliver reliable, high-performance APIs with our NGINX Real-Time API Handbook. Compiled by leading experts on real-time API management, this handbook is a comprehensive guide to reducing latency in your applications and APIs without making any compromises. Learn why now, more than ever, your APIs need to perform in real time to meet digital business requirements. This eBook covers trends driving real-time APIs, a practical reference architecture for any enterprise, and helpful vendor comparisons and case studies to make the business case for investing in the proper API management solution. ...
Discover how to deliver reliable, high-performance APIs with our NGINX Real-Time API Handbook. Compiled by leading experts on real-time API management, this handbook is a comprehensive guide to reducing latency in your applications and APIs without making any compromises. Learn why now, more than ever, your APIs need to perform in real time to meet digital business requirements. This eBook covers trends driving real-time APIs, a practical reference architecture for any enterprise, and helpful vendor comparisons and case studies to make the business case for investing in the proper API management solution. ...
Real-Time Digital Signal Processing, 2nd Edition
Real-time Digital Signal Processing: Implementations and Applications has been completely updated and revised for the 2nd edition and remains the only book on DSP to provide an overview of DSP theory and programming with hands-on experiments using MATLAB, C and the newest fixed-point processors from Texas Instruments (TI). ...
Real-time Digital Signal Processing: Implementations and Applications has been completely updated and revised for the 2nd edition and remains the only book on DSP to provide an overview of DSP theory and programming with hands-on experiments using MATLAB, C and the newest fixed-point processors from Texas Instruments (TI). ...
Real-Time Big Data Analytics
Five or six years ago, analysts working with big datasets made queries and got the results back overnight. The data world was revolutionized a few years ago when Hadoop and other tools made it possible to get the results from queries in minutes. But the revolution continues. Analysts now demand sub-second, near real-time query results. Fortunately, we have the tools to deliver them. This report examines tools and technologies that are driving real-time big data analytics. ...
Five or six years ago, analysts working with big datasets made queries and got the results back overnight. The data world was revolutionized a few years ago when Hadoop and other tools made it possible to get the results from queries in minutes. But the revolution continues. Analysts now demand sub-second, near real-time query results. Fortunately, we have the tools to deliver them. This report examines tools and technologies that are driving real-time big data analytics. ...