Professional Hadoop
The professional's one-stop guide to this open-source, Java-based big data framework Professional Hadoop is the complete reference and resource for experienced developers looking to employ Apache Hadoop in real-world settings. Written by an expert team of certified Hadoop developers, committers...
Other Authors: | |
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Format: | eBook |
Language: | Inglés |
Published: |
Indianapolis, Indiana :
Wrox
2016.
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Edition: | First edition |
Series: | Wrox Programmer to Programmer.
THEi Wiley ebooks. |
Subjects: | |
See on Biblioteca Universitat Ramon Llull: | https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009630331206719 |
Table of Contents:
- Cover ; Title Page ; Copyright ; Contents ; Introduction ; Chapter 1: Hadoop Introduction ; Business Analytics and Big Data ; The Components of Hadoop ; The Distributed File System (HDFS) ; What Is MapReduce? ; What Is YARN? ; What Is ZooKeeper? ; What Is Hive?
- Integration with Other Systems The Hadoop Ecosystem ; Data Integration and Hadoop ; Summary ; Chapter 2: Storage ; Basics of Hadoop HDFS ; Concept ; Architecture ; Interface ; Setting Up the HDFS Cluster in Distributed Mode ; Install ; Advanced Features of HDFS ; Snapshots
- Offline Viewer Tiered Storage ; Erasure Coding ; File Format ; Cloud Storage ; Summary ; Chapter 3: Computation ; Basics of Hadoop MapReduce ; Concept ; Architecture ; How to Launch a MapReduce Job ; Writing a Map Task ; Writing a Reduce Task ; Writing a MapReduce Job
- Configurations Advanced Features of MapReduce ; Distributed Cache ; Counter ; Job History Server ; The Difference from a Spark Job ; Summary ; Chapter 4: User Experience ; Apache Hive ; Hive Installation ; HiveQL ; UDF/SerDe ; Hive Tuning ; Apache Pig ; Pig Installation
- Pig Latin UDF ; Hue ; Features ; Apache Oozie ; Oozie Installation ; How Oozie Works ; Workflow/Coordinator ; Oozie CLI ; Summary ; Chapter 5: Integration with Other Systems ; Apache Sqoop ; How It Works ; Apache Flume ; How It works ; Apache Kafka ; How It Works
- Kafka Connect