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Big Data on AWS

COURSE TYPE

Intermediate

Course Number

1694

Duration

3 Days
Reserve Your Seat

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Big Data on AWS introduces you to cloud-based big data solutions such as Amazon EMR, Amazon Redshift, Amazon Kinesis and the rest of 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 Hive and Hue. We also teach you how to create big data environments, work with Amazon DynamoDB, Amazon Redshift, Amazon Quicksight, Amazon Athena and Amazon Kinesis, and leverage best practices to design big data environments for security and cost-effectiveness.

You Will Learn 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 on Amazon EMR
  • Choose appropriate AWS data storage options
  • Identify the benefits of using Amazon Kinesis for near real-time big data processing
  • Leverage Amazon Redshift to efficiently store and analyze data
  • Comprehend and manage costs and security for a big data solution
  • Secure a Big Data solution
  • Identify options for ingesting, transferring, and compressing data
  • Leverage Amazon Athena for ad hoc query analytics
  • Use visualization software to depict data and queries using Amazon QuickSight
  • Orchestrate big data workflows using AWS Data Pipeline

Important Course Information

Requirements:

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

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

Course Outline

Day 1

  • Overview of Big Data
  • Big Data Ingestion and Transfer
  • Big Data Streaming and Amazon Kinesis
  • Lab 1: Using Amazon Kinesis to Stream and Analyze Apache Server Log Data
  • Big Data Storage Solutions
  • Big Data Processing and Analytics
  • Lab 2: Using Amazon Athena to Query Log Data From Amazon S3

Day 2

  • Apache Hadoop and Amazon EMR
  • Lab 3: Storing and Querying Data on Amazon DynamoDB
  • Using Amazon EMR
  • Hadoop Programming Frameworks
  • Lab 4: Processing Server Logs With Hive on Amazon EMR
  • Web Interfaces on Amazon EMR
  • Lab 5: Running Pig Scripts in Hue on Amazon EMR
  • Apache Spark on Amazon EMR
  • Lab 6: Processing NY Taxi data using Spark on Amazon EMR

Day 3

  • Amazon Redshift and Big Data
  • Visualizing and Orchestrating Big Data
  • Lab 7: Using TIBCO Spotfire to Visualize Data
  • Managing Big Data Costs
  • Securing Your Amazon Deployments
  • Big Data Design Patterns

Convenient Ways to Attend This Instructor-Led Course

Hassle-Free Enrolment: No advance payment required to reserve your seat.
Tuition due 30 days after you attend your course.

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888-843-8733

info@LearningTree.ca

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Tuition — Standard: $2025   Government: $1780

Apr 25 - 27 (3 Days)
10:30 AM - 6:30 PM EDT Ottawa, ON Ottawa, ON Reserve Your Seat

Apr 25 - 27 (3 Days)
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Apr 25 - 27 (3 Days)
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May 15 - 17 (3 Days)
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May 15 - 17 (3 Days)
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Jun 6 - 8 (3 Days)
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Jun 6 - 8 (3 Days)
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Jun 26 - 28 (3 Days)
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Jun 26 - 28 (3 Days)
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Jul 25 - 27 (3 Days)
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Jul 25 - 27 (3 Days)
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Aug 22 - 24 (3 Days)
9:00 AM - 5:00 PM EDT Herndon, VA Herndon, VA Reserve Your Seat

Aug 22 - 24 (3 Days)
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Sep 5 - 7 (3 Days)
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Sep 5 - 7 (3 Days)
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Sep 25 - 27 (3 Days)
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Sep 25 - 27 (3 Days)
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Oct 17 - 19 (3 Days)
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Oct 17 - 19 (3 Days)
12:00 PM - 8:00 PM EDT Online (iMVP) Online (iMVP) Reserve Your Seat

Nov 6 - 8 (3 Days)
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Nov 6 - 8 (3 Days)
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Nov 28 - 30 (3 Days)
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Nov 28 - 30 (3 Days)
12:00 PM - 8:00 PM EST Online (iMVP) Online (iMVP) Reserve Your Seat

Dec 18 - 20 (3 Days)
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Dec 18 - 20 (3 Days)
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Tuition

Standard

Government

In Classroom or
Online

Standard

$2025

Government

$1780

Private Team Training

Contact Us »

Training Hours

Training hours vary depending on the time zone in which your course is scheduled.

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