Big Data Analytics With Hadoop 3: Build Highly Effective Analytics Solutions to Gain Valuable Insight Into Your big Data (en Inglés)
Reseña del libro "Big Data Analytics With Hadoop 3: Build Highly Effective Analytics Solutions to Gain Valuable Insight Into Your big Data (en Inglés)"
Explore big data concepts, platforms, analytics, and their applications using the power of Hadoop 3Key FeaturesLearn Hadoop 3 to build effective big data analytics solutions on-premise and on cloudIntegrate Hadoop with other big data tools such as R, Python, Apache Spark, and Apache FlinkExploit big data using Hadoop 3 with real-world examplesBook DescriptionApache Hadoop is the most popular platform for big data processing, and can be combined with a host of other big data tools to build powerful analytics solutions. Big Data Analytics with Hadoop 3 shows you how to do just that, by providing insights into the software as well as its benefits with the help of practical examples.Once you have taken a tour of Hadoop 3's latest features, you will get an overview of HDFS, MapReduce, and YARN, and how they enable faster, more efficient big data processing. You will then move on to learning how to integrate Hadoop with the open source tools, such as Python and R, to analyze and visualize data and perform statistical computing on big data. As you get acquainted with all this, you will explore how to use Hadoop 3 with Apache Spark and Apache Flink for real-time data analytics and stream processing. In addition to this, you will understand how to use Hadoop to build analytics solutions on the cloud and an end-to-end pipeline to perform big data analysis using practical use cases.By the end of this book, you will be well-versed with the analytical capabilities of the Hadoop ecosystem. You will be able to build powerful solutions to perform big data analytics and get insight effortlessly.What you will learnExplore the new features of Hadoop 3 along with HDFS, YARN, and MapReduceGet well-versed with the analytical capabilities of Hadoop ecosystem using practical examplesIntegrate Hadoop with R and Python for more efficient big data processingLearn to use Hadoop with Apache Spark and Apache Flink for real-time data analyticsSet up a Hadoop cluster on AWS cloudPerform big data analytics on AWS using Elastic Map ReduceWho This Book Is ForBig Data Analytics with Hadoop 3 is for you if you are looking to build high-performance analytics solutions for your enterprise or business using Hadoop 3's powerful features, or you're new to big data analytics. A basic understanding of the Java programming language is required.Table of ContentsIntroduction to HadoopOverview of Big Data AnalyticsBig Data Processing with MapReduceScientific Computing and Big Data Analysis with Python and HadoopStatistical Big Data Computing with R and HadoopBatch analytics with Apache SparkReal time analytics with Apache SparkBatch analytics with Apache FlinkStream Processing with Apache FlinkVisualizing Big DataIntroduction to Cloud ComputingUsing Amazon Web Services
