Hadoop 2 Quick-Start Guide: Learn the Essentials of Big Data by Douglas Eadline

By Douglas Eadline

Get began quickly with Apache Hadoop® 2, YARN, and Today’s Hadoop Ecosystem


With Hadoop 2.x and YARN, Hadoop strikes past MapReduce to turn into sensible for almost any form of information processing. Hadoop 2.x and the knowledge Lake notion symbolize an intensive shift clear of traditional methods to facts utilization and garage. Hadoop 2.x installations supply unequalled scalability and step forward extensibility that helps new and current significant information analytics processing equipment and models.


Hadoop® 2 Quick-Start advisor is the 1st effortless, available advisor to Apache Hadoop 2.x, YARN, and the trendy Hadoop environment. development on his unsurpassed event educating Hadoop and massive information, writer Douglas Eadline covers all of the fundamentals you want to understand to put in and use Hadoop 2 on own pcs or servers, and to navigate the strong applied sciences that supplement it.


Eadline concisely introduces and explains each key Hadoop 2 thought, instrument, and repair, illustrating each one with an easy “beginning-to-end” instance and choosing reliable, updated assets for studying more.


This consultant is perfect with the intention to know about Hadoop 2 with no getting mired in technical information. Douglas Eadline will carry you in control speedy, even if you’re a person, admin, devops expert, programmer, architect, analyst, or info scientist.


Coverage Includes

  • Understanding what Hadoop 2 and YARN do, and the way they enhance on Hadoop 1 with MapReduce
  • Understanding Hadoop-based information Lakes as opposed to RDBMS information Warehouses
  • Installing Hadoop 2 and middle prone on Linux machines, virtualized sandboxes, or clusters
  • Exploring the Hadoop dispensed dossier approach (HDFS)
  • Understanding the necessities of MapReduce and YARN software programming
  • Simplifying programming and information flow with Apache Pig, Hive, Sqoop, Flume, Oozie, and HBase
  • Observing software development, controlling jobs, and dealing with workflows
  • Managing Hadoop successfully with Apache Ambari–including recipes for HDFS to NFSv3 gateway, HDFS snapshots, and YARN configuration
  • Learning uncomplicated Hadoop 2 troubleshooting, and fitting Apache Hue and Apache Spark


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