Big Data on AWS (BDAWS)

Course Description Schedule Course Outline
 

Course Content

Big Data on AWS introduces you to cloud-based big data solutions and Amazon Elastic MapReduce (EMR), the AWS big data platform. In this course, we show you how to use Amazon EMR to process data using the broad ecosystem of Hadoop tools like Pig and Hive. We also teach you how to create big data environments, work with Amazon DynamoDB and Amazon Redshift, understand the benefits of Amazon Kinesis, and leverage best practices to design big data environments for security and cost-effectiveness.

Who should attend

  • Individuals responsible for designing and implementing big data solutions, namely Solutions Architects and SysOps Administrators
  • Data Scientists and Data Analysts interested in learning about big data solutions on AWS

Prerequisites

  • Basic familiarity with big data technologies, including Apache Hadoop and HDFS
  • Working knowledge of core AWS services and public cloud implementation
  • Basic understanding of data warehousing, relational database systems, and database design

Course Objectives

By the end of this course, you should be able to:

  • Understand Apache Hadoop in the context of Amazon EMR
  • Understand the architecture of an Amazon EMR cluster
  • Launch an Amazon EMR cluster using an appropriate Amazon Machine Image and Amazon EC2 instance types
  • Choose appropriate AWS data storage options for use with Amazon EMR
  • Know your options for ingesting, transferring, and compressing data for use with Amazon EMR
  • Use common programming frameworks available for Amazon EMR including Hive, Pig, and Streaming
  • Work with Amazon Redshift to implement a big data solution
  • Leverage big data visualization software
  • Choose appropriate security options for Amazon EMR and your data
  • Perform in-memory data analysis with Spark and Shark on Amazon EMR
  • Choose appropriate options to manage your Amazon EMR environment cost-effectively
  • Understand the benefits of using Amazon Kinesis for big data

Outline: Big Data on AWS (BDAWS)

Day 1
  • Overview of Big Data, Apache Hadoop, and the Benefits of Amazon EMR
  • Amazon EMR Architecture
  • Using Amazon EMR
  • Launching and Using an Amazon EMR Cluster
  • Hadoop Programming Frameworks
Day 2
  • Using Hive for Advertising Analytics
  • Using Streaming for Life Sciences Analytics
  • Overview: Spark and Shark for In-Memory Analytics
  • Using Spark and Shark for In-Memory Analytics
  • Managing Amazon EMR Costs
  • Overview of Amazon EMR Security
  • Data Ingestion, Transfer, and Compression
  • Using Amazon Kinesis for Real-Time Big Data Processing
Day 3
  • Using Amazon Kinesis for Real-Time Big Data Processing
  • AWS Data Storage Options
  • Using DynamoDB with Amazon EMR
  • Overview: Amazon Redshift and Big Data
  • Using Amazon Redshift for Big Data
  • Visualizing and Orchestrating Big Data
  • Using Tableau Desktop or Jaspersoft BI to Visualize Big Data
Classroom Training
Modality: G

Duration 3 days

Price
  • United States: US$ 1,950
Enroll now
Online Training
Modality: U

Duration 3 days

Price
  • United States: US$ 1,950
Enroll now
 
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This is an Instructor-Led Classroom course
This is a FLEX course, which is delivered simultaneously in two modalities. Choose to attend the Instructor-Led Online (ILO) virtual session or Instructor-Led Classroom (ILT) session.
  *   This class is delivered by a partner.
United States
Nov 28-30, 2018 San Francisco, CA 09:00 US/Pacific * Enroll
Nov 28-30, 2018 Time Zone: US/Eastern 12:00 US/Eastern * Enroll
Dec 18-20, 2018 Time Zone: US/Eastern 09:00 US/Eastern * Enroll
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Jan 22-24, 2019 Time Zone: US/Eastern 09:00 US/Eastern * Enroll
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Feb 20-22, 2019 San Francisco, CA 09:00 US/Pacific * Enroll
Feb 20-22, 2019 Time Zone: US/Eastern 12:00 US/Eastern * Enroll
Mar 19-21, 2019 Time Zone: US/Eastern 09:00 US/Eastern * Enroll
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Dec 17-19, 2018 Düsseldorf Enroll
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Jul 1-3, 2019 Vienna (iTLS) Enroll
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Nov 26-28, 2018 Paris * Enroll
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Jan 21-23, 2019 Milan Enroll
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Dec 5-7, 2018 Warsaw Enroll
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Romania
Mar 20-22, 2019 This is a FLEX event Bucharest Course language: English Enroll
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Feb 24-26, 2019 Dubai Course language: English This course is being delivered by iTLS. Enroll
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