Real-time.Big.Data.Analytics.17843下载

Design, process, and analyze large sets of complex data in real time About This Book Get acquainted with transformations and database-level interactions, and ensure the reliability of messages processed using Storm Implement strategies to solve the challenges of real-time data processing Load datasets, build queries, and make recommendations using Spark SQL Who This Book Is For If you are a Big Data architect, developer, or a programmer who wants to develop applications/frameworks to implement real-time analytics using open source technologies, then this book is for you. What You Will Learn Explore big data technologies and frameworks Work through practical challenges and use cases of real-time analytics versus batch analytics Develop real-word use cases for processing and analyzing data in real-time using the programming paradigm of Apache Storm Handle and process real-time transactional data Optimize and tune Apache Storm for varied workloads and production deployments Process and stream data with Amazon Kinesis and Elastic MapReduce Perform interactive and exploratory data analytics using Spark SQL Develop common enterprise architectures/applications for real-time and batch analytics Table of Contents Chapter 1. Introducing the Big Data Technology Landscape and Analytics Platform Chapter 2. Getting Acquainted with Storm Chapter 3. Processing Data with Storm Chapter 4. Introduction to Trident and Optimizing Storm Performance Chapter 5. Getting Acquainted with Kinesis Chapter 6. Getting Acquainted with Spark Chapter 7. Programming with RDDs Chapter 8. SQL Query Engine for Spark – Spark SQL Chapter 9. Analysis of Streaming Data Using Spark Streaming Chapter 10. Introducing Lambda Architecture