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Big Data on AWS

at TLG Learning - Bellevue

(1)
Course Details
Price:
$2,025 12 seats left
Start Date:

Tue, Mar 17, 6:30am - Mar 19, 2:30pm (3 sessions)

Location:
Bellevue
12822 SE 32nd St Ste 200
Btwn Richards Rd & 128th Ave SE
Bellevue, Washington 98005
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Description
Class Level: All levels
Age Requirements: 18 and older
Average Class Size: 9

What you'll learn in this big data training:

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.

Pre-requisite(s):

  • Familiarity with big data technologies; 
  • Big Data Technology Fundamentals web-based training; working knowledge of core AWS services and public cloud implementation; 
  • AWS Essentials; 
  • basic understanding of data warehousing, and relational databases.
Audience:
  • 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
Outline:
  • Lesson 1 : Overview of Big Data
  • Lesson 2 : Data Ingestion, Transfer, and Compression
  • Lesson 3 : AWS Data Storage Options
  • Lesson 4 : Using DynamoDB with Amazon EMR
  • Lesson 5 : Using Kinesis for Near Real-Time Big Data Processing
  • Lesson 6 : Introduction to Apache Hadoop and Amazon EMR
  • Lesson 7 : Using Amazon Elastic MapReduce
  • Lesson 8 : The Hadoop Ecosystem
  • Lesson 9 : Using Hive for Advertising Analytics
  • Lesson 10 : Using Streaming for Life Sciences Analytics
  • Lesson 11 : Using Hue with Amazon EMR
  • Lesson 12 : Running Pig Scripts with Hue on Amazon EMR
  • Lesson 13 : Spark on Amazon EMR
  • Lesson 14 : Running Spark and Spark SQL Interactively on Amazon EMR
  • Lesson 15 : Using Spark and Spark SQL for In-Memory Analytics
  • Lesson 16 : Managing Amazon EMR Costs
  • Lesson 17 : Securing your Amazon EMR Deployments
  • Lesson 18 : Data Warehouses and Columnar Datastores
  • Lesson 19 : Introduction to Amazon Redshift
  • Lesson 20 : Optimizing Your Amazon Redshift Environment
  • Lesson 21 : The Big Data Ecosystem on AWS
  • Lesson 22 : Visualizing and Orchestrating Big Data
  • Lesson 23 : Using Tibco Spotfire to Visualize Big Data

Still have questions? Ask the community.

Refund Policy
Open Enrollment Desktop Applications Classes -- You may reschedule or cancel your enrollment in a Desktop Applications class at no charge with at least five (5) or more business days advance written notice. If you reschedule or cancel your class with less notice or “no show” the full amount of your invoice must be paid. If you need to cancel your registration you also have the option to send a substitute student to your class or to reschedule your class at no additional cost on a space available retake basis for up to 12 months.

Open Enrollment Technical Training Classes with Level TT1, TT2 or TT3 Tech Pricing -- You may reschedule or cancel your enrollment in a Technical Training Class with Level TT1, TT2 or TT3 Tech Pricing at no charge with at least ten (10) or more business days advance written notice. If you reschedule or cancel your class with less notice or “no show” the full amount of your invoice must be paid. If you need to cancel you also have the option to send a substitute student to your class or to reschedule your class at no additional cost on a space available retake basis for up to 12 months.

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Start Dates (1)
Start Date Time Teacher # Sessions Price
6:30am - 2:30pm TBD 3 $2,025
This course consists of multiple sessions, view schedule for sessions.
Wed, Mar 18 6:30am - 2:30pm TBD
Thu, Mar 19 6:30am - 2:30pm TBD

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