Oct 20, 2018  
Ledet Training 2018 Course Catalog 
  
Ledet Training 2018 Course Catalog
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AWS 430 - Big Data on AWS


Class Description
This 3-day class introduces Participants to cloud-based big data solutions such as Amazon Elastic MapReduce (EMR), Amazon Redshift, Amazon Kinesis and the rest of the AWS big data platform. In this course, we show Participants how to use Amazon EMR to process data using the broad ecosystem of Hardtop tools like Hive and Hue. We also teach Participants 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.

Program Benefits
  • Fit AWS solutions inside of a big data ecosystem
  • Leverage Apache Hadoop in the context of Amazon EMR
  • Identify the 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
  • Leverage 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
  • Identify the benefits of using Amazon Kinesis for near real-time big data processing
  • Define data warehousing and columnar database concepts
  • Leverage Amazon Redshift to efficiently store and analyze data
  • Comprehend and manage costs and security for Amazon EMR and Amazon Redshift deployments
  • Identify options for ingesting, transferring, and compressing data
  • Use visualization software to depict data and queries
  • Orchestrate big data workflows using AWS Data Pipeline

Overview of Learning Objectives
  • Overview of Big Data
  • Ingestion, Transfer, and Compression
  • Storage Solutions
  • Storing and Querying Data on DynamoDB
  • Big Data Processing and Amazon Kinesis
  • Introduction to Apache Hadoop and Amazon EMR
  • Using Amazon Elastic MapReduce
  • Hadoop Programming Frameworks
  • Processing Server Logs with Hive on Amazon EMR
  • Processing Chemistry Data Using Hadoop Streaming on Amazon EMR
  • Streamlining Students Amazon EMR Experience with Hue
  • Running Pig Scripts with in Hue on Amazon EMR
  • Spark on Amazon EMR
  • Interactively Creating and Querying Tables with Spark and Spark SQL on Amazon EMR
  • Managing Amazon EMR Costs
  • Securing Students Amazon EMR Deployments
  • Data Warehouses and Columnar Datastores
  • Amazon Redshift and Big Data
  • Optimizing Students Amazon Redshift Environment
  • Big Data Design Patterns
  • Visualizing and Orchestrating Big Data
  • Using Tibco Spotfire to Visualize Big Data


Suggested Prerequisites
We recommend that attendees of this course have the following prerequisites:

  • Basic familiarity with big data technologies, including Apache Hadoop, MapReduce, and HDFS, and SQL/NoSQL querying
  • Students should complete the Big Data Technology Fundamentals web-based training or have equivalent experience
  • Working knowledge of core AWS services and public cloud implementation

Class Times
  • Public Open Enrollment Training Courses - Course hours are 9am-4pm
  • Public Open Enrollment Training hours scheduled at Branch locations may vary.
  • Public Open Enrollment Online Courses - Course hours are  10am-5pm EST 

Related Classes

We also suggest having a look at the following related classes:


Locations

We have training centers in Atlanta, Houston, Chicago, Denver, San Diego and Washington DC. We also have the option of live instructor lead online offerings for our courses. Our network of rental facilities is also an option for most of our high demand classes. If coming to a rental facility, please double-check the location of your class with our office to make sure you get to the right location.

As an option for customers needing completely customizable training we offer private onsite training and Individual instructor consulting sessions. To inquire about custom training please fill out our private training request form.

 
Enrollment

Please see our Enrollment Page (http://www.ledet.com/enroll) for our enrollment form.

 
Disclaimer

Our goal is to make sure your class meets your objectives, not ours. Therefore, all of our outlines are treated as guides to help steer the workshop. This outline does not guarantee that all the topics listed will be covered in the time allowed. The amount of material covered is based on the skill level of the student audience. We may change or alter course topics to best suit the classroom situation.

 



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