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This course introduces you to cloud-based big data solutions and Amazon Elastic MapReduce (EMR), the Amazon Web Services (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

  • Course Start Date: 2019-10-21
  • Time: 09:30:00 - 17:30:00
  • Duration: 3 days 09:30 AM - 05:30 PM
  • Location: Virtual
  • Delivery Methods(s): Virtual Instructor Led

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 AWS Essentials

Lessons

Learn how to build and leverage best practices for big data solutions on AWS.

This course introduces you to cloud-based big data solutions and Amazon Elastic MapReduce (EMR), the Amazon Web Services (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, realize the benefits of Amazon Kinesis, and leverage best practices to design big data environments for security and cost-effectiveness.

Did You Know?

This class is available in our Virtual Classroom -- live online training that combines premium skills development technologies and expert instructors, content, and exercises to ensure superior training, regardless of your location.

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
Who Needs to Attend

This course is intended for partners and customers responsible for implementing big data environments, including:

  • Data scientists
  • Data analysts
  • Enterprise, big data solution architects
Course Outline
1. Overview of Big Data and Apache Hadoop
2. Benefits of Amazon EMR
3. Amazon EMR Architecture
4. Using Amazon EMR
5. Launching and Using an Amazon EMR Cluster
6. High-Level Apache Hadoop Programming Frameworks
7. Using Hive for Advertising Analytics
8. Other Apache Hadoop Programming Frameworks
9. Using Streaming for Life Sciences Analytics
10. Overview: Spark and Shark for In-Memory Analytics
11. Using Spark and Shark for In-Memory Analytics
12. Managing Amazon EMR Costs
13. Overview of Amazon EMR Security
14. Exploring Amazon EMR Security
15. Data Ingestion, Transfer, and Compression
16. Using Amazon Kinesis for Real-Time Big Data Processing
17. AWS Data Storage Options
18. Using DynamoDB with Amazon EMR
19. Overview: Amazon Redshift and Big Data
20. Using Amazon Redshift for Big Data
21. Visualizing and Orchestrating Big Data
22. Using Tableau Desktop or Jaspersoft BI to Visualize Big Data Labs

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

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 4.39 out of 5 based on 425 reviews.

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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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It was difficult to practice on my PC while trying to watch the presentation online.
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