Overview
In this one-day advanced Building a Serverless Data Lake course, you will learn to design, build, and operate a serverless data lake solution with AWS services. This AWS training course 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.
Trainocate is an AWS Authorized Training Partner as well as the AWS Global Training Partner of the Year 2024 is trusted by AWS to offer, deliver, and/or incorporate official AWS Training, including classroom and digital offerings. Whether your team prefers to learn from live instructors, on-demand courses, or both, ATPs offer a breadth of AWS Training options for learners of all levels.
Skills Covered
- 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.
- Configure Amazon Simple Notification Service (Amazon SNS) to audit, monitor, and receive event notifications about activities in the data warehouse
- Prepare for operational tasks, such as resizing Amazon Redshift clusters and using snapshots to back up and restore clusters
- Use a business intelligence (BI) application to perform data analysis and visualization tasks against your data
Who Should Attend
- Solutions architects
- Big Data developers
- Data architects and analysts
- Data analysis practitioners
Course Curriculum
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
Core fundamental AWS knowledge can be obtained via completion of the following courses:
- AWS-CLDPE: AWS Cloud Practitioner Essentials
- AWS-TE: AWS Technical Essential
Course Modules
Exam & Certification
AWS Certified Data Analytics – Specialty
This credential helps organizations identify and develop talent with critical skills for implementing cloud initiatives. Earning AWS Certified Data Analytics – Specialty validates expertise in using AWS data lakes and analytics services to get insights from data.
