• Course
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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.

  • Course Start Date: 2021-10-18
  • Time: 08:30:00 - 16:30:00
  • Duration: 3 days 08:30 AM - 04:30 PM
  • Location: Virtual
  • Delivery Method(s): Virtual Instructor Led
$2,398.50
REGULAR PRICE $2,665.00 Save $266.50
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Course Outline

Pre-Requisites

Familiarity with big data technologies, including Apache Hadoop and HDFS Knowledge of big data technologies such as Pig, Hive, and MapReduce is helpful but not required Working knowledge of core AWS services and public cloud implementation Students should complete the AWS Essentials course or have equivalent experience Basic understanding of data warehousing, relational database systems, and database design

Lessons

COURSE 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.

WHAT YOU'LL LEARN

  • Apache Hadoop in the context of Amazon EMR
  • The architecture of an Amazon EMR cluster
  • Launch an Amazon EMR cluster using an appropriate Amazon Machine Image and Amazon EC2 instance types
  • Appropriate AWS data storage options for use with Amazon EMR
  • 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
  • Appropriate security options for Amazon EMR and your data
  • Perform in-memory data analysis with Spark and Shark on Amazon EMR
  • Options to manage your Amazon EMR environment cost-effectively
  • Benefits of using Amazon Kinesis for big data

OUTLINE

Virtual Classroom Live Outline

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

LABS

Virtual Classroom Live Labs

This course allows you to test new skills and apply knowledge to your working environment through a variety of practical exercises

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

Cancellation Policy

We require 16 calendar days notice to reschedule or cancel any registration. Failure to provide the required notification will result in 100% charge of the course. If a student does not attend a scheduled course without prior notification it will result in full forfeiture of the funds and no reschedule will be allowed. Within the required notification period, only student substitutions will be permitted. Reschedules are permitted at anytime with 16 or more calendar days notice. Enrollments must be rescheduled within six months of the cancel date or funds on account will be forfeited.

Training Location

Online Classroom
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About Global Knowledge

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Global Knowledge is the world's leading learning services and professional development solutions provider. We deliver learning solutions to support customers as they adapt to key business transformations and technological advancements that drive the way that organizations around the world differentiate themselves and thrive. Our learning programs, whether designed for a global organization or an individual professional, help businesses close skills gaps and foster an environment of continuous talent development.

Training Provider Rating

This vendor has an overall average rating of 4.38 out of 5 based on 431 reviews.

I would never take another course that starts at 11AM and goes to 9PM again. The way the course was laid out really took away from ... Read more
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I would never take another course that starts at 11AM and goes to 9PM again. The way the course was laid out really took away from the capturing of what was presented as it was 5-6 hours of watching a screen before getting to the actual labs. There has to be a better way to lay out this particular course. In my previous course, the lectures were broken up by labs which worked out fantastic and kept you engaged in the course. There were days when in order to actually complete the labs, would go over the 9PM day end time frame. Was able to get the primary labs done, but if you want to get all the content completed, you cannot complete it in the window of this course, you will need to come back on your own time.

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Instructor was great
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Wasn’t as advanced as I thought it would be. There was an issue when the day my course was the first time they used a new platfo ... Read more
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Wasn’t as advanced as I thought it would be. There was an issue when the day my course was the first time they used a new platform.. from adobe to something called zoom; I had to call support line cause it stated our instructor wasn’t present. Thankfully I called cause everyone online was in the adobe virtual classroom waiting for what looked like a teacher who didn’t show up for class (IT didn’t get anything resolved until 10mins after start time). I felt like he was really getting hung up on very basic knowledge for the first half of the course (talking about how to create tabs and drag formulas as an example). I completed files a few times before he was done explaining. There was a scheduled fire drill for them (roughly 30mins)that also cut into our time, which wasn’t deducted from the hour lunch break or the two, fifteen min breaks. I also really wish he touched base more on the automating workbook functions portion which we barely did. I'm happy there were/are those study guides (learning videos) and exams to take on my own time that I hope after I've had the class are still available for me to learn from.

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