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Building a Serverless Data Lake on AWS

at ExitCertified - The Loop

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Course Details
Price:
$675
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Location:
The Loop, Downtown/Loop
230 W Monroe St Ste 900
Btwn S Franklin & S Wells Streets
Chicago, Illinois 60606
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Description
Class Level: All levels
Age Requirements: 18 and older
Average Class Size: 12

What you'll learn in this big data training:

Building a Serverless Data Lake on AWS is a one-day, advanced-level bootcamp designed to teach you how to design, build, and operate a serverless data lake solution with AWS services. The bootcamp will include topics such as ingesting data from any data source at large scale, storing the data securely and durably, enabling the capability to use the right tool to process large volumes of data, and understanding the options available for analyzing the data in near-real time.

Skills Gained
This course teaches you how to:
  • Collect large amounts of data using services such as Kinesis Streams and Firehose and store the data durably and securely in Amazon Simple Storage Service.
  • Create a metadata index of your data lake.
  • Choose the best tools for ingesting, storing, processing, and analyzing your data in the lake.
  • Apply the knowledge to hands-on labs that provide practical experience with building an end-to-end solution.
Who Can Benefit
This course is intended for:
  • Solutions architects
  • Big Data developers
  • Data architects and analysts
  • Other hands-on data analysis team members
Prerequisites
We recommend that attendees of this course have the following prerequisites:
  • Good working knowledge of AWS core services, including Amazon Elastic Compute Cloud (EC2) and Amazon Simple Storage Service (S3)
  • Some experience working with a programming or scripting language
  • Familiarity with the Linux operating system and command line interface
  • Requires a laptop to complete lab exercises – tablets are not appropriate
Course Details

Course Outline

This course covers the following concepts:
  • Key services that help enable a serverless data lake architecture
  • A data analytics solution that follows the ingest, store, process, and analyze workflow
  • Repeatable template deployment for implementing a data lake solution
  • Building a metadata index and enabling search capability
  • Setup of a large scale data ingestion pipeline from multiple data sources
  • Transformation of data with simple functions that are event-triggered
  • Data processing by choosing the best tools and services for the use case
  • Options available to better analyze the processed data
  • Best practices for deployment and operations

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Refund Policy
Cancellations or reschedules received 21 days or more from the start date of the class are allowed at no charge. Cancellations or reschedules 20 days or fewer from the start date of the class are assessed a fee of 100% of the class fee.

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School: ExitCertified

ExitCertified

A Trusted Name in IT Education

Since 2001, ExitCertified has provided individual and corporate clients with a superior learning experience. As a trusted education partner we deliver more than 9500 authorized IT training courses for 20+ vendors from such leading technology firms as Oracle, SAP, Symantec,...

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