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.

Course Topics
  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

I have done an "at your own pace" and a live "on-line" course - both are excellent and I would highly recommend. Great instructors!
Debbi Doris
n/a
I wanted to be able to manage existing Crystal Reports and be able to create new ones. This course gave me the ability to do so and even use enhanced features.
Mazen Kalash
Vitamin Shoppe
Lisa is an excellent teacher for FrameMaker. She made the course material understandable and relevant.
Veronica Hobson
Weatherford
Even as an experienced PowerPoint user, I learned something new at every turn of this course. Strongly recommended!
Margaret Snape
The Boeing Company

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GSA schedule pricing

64,430

Students who have taken Instructor-led Training

11,984

Organizations who trust Webucator for their Instructor-led training needs

100%

Satisfaction guarantee and retake option

9.30

Students rated our trainers 9.30 out of 10 based on 30,402 reviews

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