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Big Data on AWS


3 Days
Live Online

IIBA (CDU)

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NASBA (CPE)

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NASBA
NASBA
24.00 CPEs

Expertise Level: Expert
Certification
Classroom Registration Fees
Individual:
$1895.00
Group Rate:
$1695.00
(per registrant, 2 or more)
GSA Individual:
$1383.35
Live Online Registration
Live Online:
$1895.00
Private Onsite Package

This course can be tailored to your needs for private, onsite delivery at your location.

Request a Quote for Group Onsite Pricing

Overview

In this course, you will learn about cloud-based big data solutions such as Amazon Elastic MapReduce (EMR), Amazon Redshift, Amazon Kinesis, and the rest of the AWS big data platform. You will learn how to use Amazon EMR to process data using the broad ecosystem of Apache Hadoop tools like Hive and Hue. Additionally, you will learn how to create big data environments, work with Amazon DynamoDB, Amazon Redshift, and Amazon Kinesis, and leverage best practices to design big data environments for security and cost-effectiveness.

Fit AWS solutions inside of a big data ecosystem
Leverage Apache Hadoop in the context of Amazon EMR
Components of an Amazon EMR cluster
Launch and configure an Amazon EMR cluster
Leverage common programming frameworks available for Amazon EMR including Hive, Pig, and Streaming
Use Hue to improve the ease-of-use of Amazon EMR
Use in-memory analytics with Spark and Spark SQL on Amazon EMR
Choose appropriate AWS data storage options
Benefits of using Amazon Kinesis for near real-time big data processing
Data warehousing and columnar database concepts
Upcoming Dates and Locations
Guaranteed To Run

There aren’t any public sessions currently scheduled for this course, but if you fill out the form below, we can tell you about how we can bring this course to you!

Course Outline

This is an emerging technology course. Course outline is subject to change as needed.

  1. Overview of Big Data
  2. Data Ingestion, Transfer, and Compression
  3. AWS Data Storage Options
  4. Using DynamoDB with Amazon EMR
  5. Using Kinesis for Near Real-Time Big Data Processing
  6. Introduction to Apache Hadoop and Amazon EMR
  7. Using Amazon Elastic MapReduce
  8. The Hadoop Ecosystem
  9. Using Hive for Advertising Analytics
  10. Using Streaming for Life Sciences Analytics
  11. Using Hue with Amazon EMR
  12. Running Pig Scripts with Hue on Amazon EMR
  13. Spark on Amazon EMR
  14. Running Spark and Spark SQL Interactively on Amazon EMR
  15. Using Spark and Spark SQL for In-Memory Analytics
  16. Managing Amazon EMR Costs
  17. Securing your Amazon EMR Deployments
  18. Data Warehouses and Columnar Datastores
  19. Introduction to Amazon Redshift
  20. Optimizing Your Amazon Redshift Environment
  21. The Big Data Ecosystem on AWS
  22. Visualizing and Orchestrating Big Data
  23. Using Tibco Spotfire to Visualize Big Data
Who should attend
  • Individuals responsible for designing and implementing big data solutions, such as solutions architects and system operator administrators
  • Data scientists and data analysts interested in learning about big data solutions on AWS
Pre-Requisites

Basic familiarity with big data technologies, including Apache Hadoop and HDFS. Complete the Big Data Technology Fundamentals web-based training or have equivalent experience. Working Knowledge of core AWS services and public cloud implementation. Basic understanding of data warehousing, relational database systems, and database design. AWS Technical Essentials.

Yes, this course looks perfect for my needs!