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Data Engineering Foundations Online Course & PDF Guides

Price: 6.00 USD | Size: 6.5 GB | Duration :4.26  Hours | 24 Video seasons | ★★★★★  4.5 

BRAND : Expert TRAINING | ENGLISH | INSTANT DOWNLOAD | Bonus PDF Guides


Data Engineering Foundations Online Course & PDF Guides


Explore a preview version of Data Engineering Foundations : Using Spark, Hive, and Hadoop Scalable Tools right now.


Table of contents


Introduction

Data Engineering Foundations : Using Spark, Hive, and Hadoop Scalable Tools: Introduction

Lesson 1: Background Concepts

Learning objectives

1.1 Understand big data and data analytics concepts

1.2 Understand Hadoop as a big data platform

1.3 Understand Hadoop MapReduce basics

1.4 Understand Spark language basics

Lesson 2: Working with Scalable Systems

Learning objectives

2.1 Understand scalable concepts

2.2 Emulate scalable systems

2.3 Use Linux command line analytics tools

2.4 Use the Zeppelin web notebook

Lesson 3: Using the Hadoop HDFS File System

Learning objectives

3.1 Understand HDFS basics

3.2 Use HDFS command line tools

3.3 Use the HDFS web interface

Lesson 4: Using Hadoop MapReduce

Learning objectives

4.1 Understand the MapReduce paradigm and platform

4.2 Understand parallel MapReduce

4.3 Run MapReduce examples

4.4 Use the Streaming interface

4.5 Use the MapReduce (YARN) web interface

Lesson 5: Using the Hive Scalable Database

Learning objectives

Lesson 6: Using Apache PySpark

Learning objectives

Summary

Data Engineering Foundations : Using Spark, Hive, and Hadoop Scalable Tools: Summary




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