LEADER 03636nam 2200457 450 001 9910814241203321 005 20240108180427.0 035 $a(CKB)4970000000061267 035 $a(MiAaPQ)EBC5573402 035 $a(CaSebORM)9781788999830 035 $a(Au-PeEL)EBL5573402 035 $a(CaPaEBR)ebr11630297 035 $a(OCoLC)1063855629 035 $a(EXLCZ)994970000000061267 100 $a20220526d2018 uy 0 101 0 $aeng 135 $aurcn####||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aApache Hadoop 3 quick start guide $elearn about big data processing and analytics /$fHrishikesh Vijay Karambelkar 205 $aFirst edition 210 1$aLondon, England :$cPackt Publishing, Limited,$d[2018] 210 4$dİ2018 215 $a1 online resource (220 pages) 300 $aIncludes index. 311 $a1-78899-983-5 330 $aA fast paced guide that will help you learn about Apache Hadoop 3 and its ecosystem Key Features Set up, configure and get started with Hadoop to get useful insights from large data sets Work with the different components of Hadoop such as MapReduce, HDFS and YARN Learn about the new features introduced in Hadoop 3 Book Description Apache Hadoop is a widely used distributed data platform. It enables large datasets to be efficiently processed instead of using one large computer to store and process the data. This book will get you started with the Hadoop ecosystem, and introduce you to the main technical topics, including MapReduce, YARN, and HDFS. The book begins with an overview of big data and Apache Hadoop. Then, you will set up a pseudo Hadoop development environment and a multi-node enterprise Hadoop cluster. You will see how the parallel programming paradigm, such as MapReduce, can solve many complex data processing problems. The book also covers the important aspects of the big data software development lifecycle, including quality assurance and control, performance, administration, and monitoring. You will then learn about the Hadoop ecosystem, and tools such as Kafka, Sqoop, Flume, Pig, Hive, and HBase. Finally, you will look at advanced topics, including real time streaming using Apache Storm, and data analytics using Apache Spark. By the end of the book, you will be well versed with different configurations of the Hadoop 3 cluster. What you will learn Store and analyze data at scale using HDFS, MapReduce and YARN Install and configure Hadoop 3 in different modes Use Yarn effectively to run different applications on Hadoop based platform Understand and monitor how Hadoop cluster is managed Consume streaming data using Storm, and then analyze it using Spark Explore Apache Hadoop ecosystem components, such as Flume, Sqoop, HBase, Hive, and Kafka Who this book is for Aspiring Big Data professionals who want to learn the essentials of Hadoop 3 will find this book to be useful. Existing Hadoop users who want to get up to speed with the new features introduced in Hadoop 3 will also benefit from this book. Having knowledge of Java programming will be an added advantage. 606 $aCloud computing 606 $aElectronic data processing$xDistributed processing$xManagement 615 0$aCloud computing. 615 0$aElectronic data processing$xDistributed processing$xManagement. 676 $a004.36 700 $aKarambelkar$b Hrishikesh Vijay$01679265 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910814241203321 996 $aApache Hadoop 3 quick start guide$94126885 997 $aUNINA