Building a Serverless Data Lake on AWS

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.

This course is intended for solutions architects, Big Data developers, data architects and analysts, and other hands-on data analysis team members.

Authorized AWS Training

Webucator has partnered with an Authorized AWS training delivery partner to offer official AWS courses utilizing Amazon Authorized Instructors.

Location

Public Classes: Delivered live online via WebEx and guaranteed to run . Join from anywhere!

Private Classes: Delivered at your offices , or any other location of your choice.

Goals
  1. 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.
  2. Create a metadata index of your data lake.
  3. Choose the best tools for ingesting, storing, processing, and analyzing your data in the lake.
  4. Apply the knowledge to hands-on labs that provide practical experience with building an end-to-end solution.
Outline
  1. Key Services that Help Enable a Serverless Data Lake Architecture
  2. A Data Analytics Solution that Follows the Ingest, Store, Process, and Analyze Workflow
  3. Repeatable Template Deployment for Implementing a Data Lake Solution
  4. Building a Metadata Index and Enabling Search Capability
  5. Setup of a Large-Scale Data Ingestion Pipeline from Multiple Data Sources
  6. Transformation of Data with Simple Functions that Are Event Triggered
  7. Data Processing by Choosing the Best Tools and Services for the Use Case
  8. Options Available to Better Analyze the Processed Data
  9. Best Practices for Deployment and Operations
Class Materials

Each student in our Live Online and our Onsite classes receives a comprehensive set of materials, including course notes and all the class examples.

Class Prerequisites

Experience in the following is required for this AWS class:

  • 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.

Training for your Team

Length: 1 Day
  • Private Class for your Team
  • Online or On-location
  • Customizable
  • Expert Instructors

What people say about our training

The Instructor was knowledgeable and kept us on task while being engaging and personable.
Lisa Simmonds
Central CCAC
The instructor was dynamic and had a profound knowledge of the subject matter. She kept the class on target, but took the time to explain key concepts thorougly and thoughtfully.
Kathleen Burns
Jenzabar, Inc.
Our instructor was both highly skilled and engaging. Excellent instruction combined with material that both summarized the lecture and offered a solid reference. This was easily the best course I've taken in years.
Rob Walker
T. Rowe Price
This is a great beginners class that provides a general foundation and a first step in learning VBA.
Joe Pfost
Precept Wine

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Registered Education Provider (R.E.P.)

GSA schedule pricing

63,175

Students who have taken Instructor-led Training

11,876

Organizations who trust Webucator for their Instructor-led training needs

100%

Satisfaction guarantee and retake option

9.29

Students rated our trainers 9.29 out of 10 based on 29,679 reviews

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