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Big Data on AWS

  • Advanced
  • 18 and older
  • $1,950
  • 230 W Monroe St, Chicago, IL
  • 24 hours over 3 sessions

Start Dates (0)

  • $1,950
  • ExitCertified - The Loop @ Monroe St @ 230 W Monroe St Ste 900, Chicago, IL 60606
  • 24 hours over 3 sessions
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Class Description

Description

What you'll learn in this office productivity class:

Big Data on AWS introduces you 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 you how to use Amazon EMR to process data using the broad ecosystem of Hadoop tools like Hive and Hue. We also teach you 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.

Skills Gained
This course teaches you how to:
  • 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

Who Can Benefit
This course is intended for:
  • 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
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

Course Details
Day 1

  • Overview of Big Data
  • Ingestion, Transfer, and Compression
  • Storage Solutions
  • Storing and Querying Data on Dynamo
  • DBBig Data Processing and Amazon Kinesis
  • Introduction to Apache Hadoop and Amazon EMR
  • Using Amazon Elastic MapReduce

Day 2
  • Hadoop Programming Frameworks
  • Processing Server Logs with Hive on Amazon EMR
  • Processing Chemistry Data Using Hadoop Streaming on Amazon EMR
  • Streamlining Your 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 your Amazon EMR Deployments

Day 3
  • Data Warehouses and Columnar Datastores
  • Amazon Redshift and Big Data
  • Optimizing Your Amazon Redshift Environment
  • Big Data Design Patterns
  • Visualizing and Orchestrating Big Data
  • Using Tibco Spotfire to Visualize Big Data

Refund Policy

  • Cancellations made at least 22 business days in advance of the class will be honored with a refund less 5% cancellation fee.
  • Students who cancel less than 22 business days prior to the start time are assessed a fee of 100% of the class fee.
In the event that an instructor or the school needs to cancel at the last minute, students will receive a refund less a 5% non-refundable registration fee.

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