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Apache Spark – Ultimate Guide
Data ScienceInterview GuideJava

Apache Spark – Ultimate Guide

bySuperUzer· eBook · PDF

Say goodbye to lengthy workshops and bootcamps. Access our comprehensive eBook, offering lifetime access to this exclusive ebook which deep dives into Apache Spark. With this CODE RICH book you can up-skill & lead the way.

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What's inside

with fully coded examples, cheat sheets, interview questions with answers & more

Topics Covered:

  • Chapter 1: Introduction
  • Chapter 2: Overview of Hadoop
  • Chapter 3: Hadoop Architecture
  • Chapter 4: Hadoop Ecosystem
  • Chapter 5: Setting Up Hadoop
  • Chapter 6: Installing Hadoop
  • Chapter 7: Hadoop Configuration
  • Chapter 8: Hadoop Distributed File System (HDFS)
  • Chapter 9: DataNodes and NameNodes
  • Chapter 10: Block Placement in HDFS
  • Chapter 11: Introduction to MapReduce
  • Chapter 12: Writing MapReduce Jobs
  • Chapter 13: Understanding MapReduce Workflow
  • Chapter 14: Overview of Apache YARN
  • Chapter 15: Resource Management in YARN
  • Chapter 16: Scheduling in Apache YARN
  • Chapter 17: Introduction to Apache Pig
  • Chapter 18: Writing Pig Latin Scripts
  • Chapter 19: Pig Latin Commands
  • Chapter 20: Overview of Apache Hive
  • Chapter 21: Working with HiveQL
  • Chapter 22: Hive Partitioning and Bucketing
  • Chapter 23: Advanced Queries in Hive
  • Chapter 24: Introduction to Apache HBase
  • Chapter 25: Table Management in HBase
  • Chapter 26: Reads and Writes in HBase
  • Chapter 27: Integration of HBase with Hive
  • Chapter 28: Introduction to Apache Spark
  • Chapter 29: Working with RDDs in Spark
  • Chapter 30: DataFrames in Spark
  • Chapter 31: Spark SQL for Data Processing
  • Chapter 32: Introduction to Apache Sqoop
  • Chapter 33: Transferring Data with Sqoop
  • Chapter 34: Overview of Apache Flume
  • Chapter 35: Collecting and Aggregating Data with Flume
  • Chapter 36: Overview of Apache Oozie
  • Chapter 37: Workflow Management in Oozie
  • Chapter 38: Introduction to Apache Kafka
  • Chapter 39: Real-Time Data Streaming with Kafka
  • Chapter 40: Security in Hadoop

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