Pearson - Data Engineering Foundations Livelessons Part 1 Using Spark Hive and Hadoop Scalable Tools Free Download

Pearson – Data Engineering Foundations LiveLessons Part 1: Using Spark, Hive, and Hadoop Scalable Tools-iLLiTERATE
English | Size: 6.46 GB
Category: Tutorial

6+ Hours of Video Instruction
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The perfect way to get started with scalable data engineering tools. All tools and examples are presented using a practical hands-on approach that can be reproduced on a freely provided virtual machine. By the completion of these LiveLessons, participants will have gained the understanding and experience to begin working within the big data engineering ecosystem.

Overview

Data Engineering Foundations Part1: Using Spark, Hive, and Hadoop Scalable Tools LiveLessons provides over six hours of video introducing you to the Apache Hadoop big data ecosystem. The tutorial includes background information and demonstrates the core components of data engineering and scalability, including Apache PySpark, Hadoop, Hadoop Distributed File Systems (HDFS), MapReduce, Hive, and the

Zeppelin web notebook. It also covers the use of basic Linux command line analytic tools. All lesson examples and open-source software used in these LiveLessons are freely available on a companion virtual machine that enables continued exploration of the lesson examples.

About the Instructor

Doug Eadline , Ph.D., began his career as Analytical Chemist with an interest in computer methods. Starting with the first Beowulf how-to document, Doug has written instructional documents covering many aspects of Linux HPC, Hadoop, and Analytics computing. Currently Doug serves as editor of theClusterMonkey.net website and lead architect for Limulus-Computing.com maker of desk-side cluster appliances. Previously he was editor of ClusterWorld Magazine and senior HPC Editor for Linux Magazine. He is also a writer and consultant to the scalable HPC/Analytics industry. His recent video tutorials and books include of the Hadoop Fundamentals LiveLessons (Addison Wesley) video, Hadoop 2 Quick Start Guide (Addison Wesley),High Performance Computing for Dummies (Wiley) and Practical Data Science with Hadoop and Spark (Co-author, Addison Wesley).

Skill Level

● Beginner

● Intermediate

Learn How To

● Understand basic data engineering concepts

● Understand Apache Hadoop, MapReduce, and Spark operation

● Understand scalable systems

● Use Linux command line analytic tools

● Use Apache Zeppelin web notebooks with different tools

● Use Apache Hadoop and the Hadoop Distributed File System

● Use Apache Hadoop MapReduce with Python

● Use the Apache Hive Scalable Database

● Use Apache PySpark with MapReduce

● Use Apache PySpark with dataframes and Hive tables

Who Should Take This Course

● Users, developers, and administrators interested in learning the fundamental aspects and operations of date engineering and scalable systems

Course Requirements

● Basic understanding of programming and application development

● A working knowledge of Linux systems, command line, and tools

● Familiarity with Python, SQL, and the Bash shell

Table of Contents

Introduction Lesson 1: Background Concepts

PEARSON OOWNS MAANY EDU BRAANDS INKLUDINNG ADDISON-WESLEY PEACHPIT PRENTICE-HALL ECOLLEGE AND MAANY MORE!

WEE ASUMME NO LIIABILLITY FUR A WROONG SPELING COZ WEE ARRE A NON (iL)LiTERATE GRUP!!

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Pearson – Data Engineering Foundations Livelessons Part 1 Using Spark Hive and Hadoop Scalable Tools

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