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Building a Serverless Data Lake on AWS (BSDL)

 

Course Content

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.

Who should attend

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 Objectives

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.

Outline: Building a Serverless Data Lake on AWS (BSDL)

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
Classroom Training

Duration 1 day

Price
  • United States: US$ 675
Online Training

Duration 1 day

Price
  • United States: US$ 675
 
Click City Name To Book Schedule
This is an Instructor-Led Classroom course
This is a FLEX course, which is delivered simultaneously in two modalities. Choose to attend the Instructor-Led Online (ILO) virtual session or Instructor-Led Classroom (ILT) session.
United States

Currently there are no training dates scheduled for this course.  You can schedule a private, onsite training session or request a public date by emailing info@fastlaneus.com.

Fast Lane Flex™ Classroom If you can't find a suitable date, don't forget to check our world-wide FLEX™ training schedule.

Liberia
Dec 17, 2019 Monrovia Enroll
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Feb 23, 2020 Dubai Course language: English This course is being delivered by iTLS. Enroll
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