Started on March 4, 2024 4 Weeks

Data engineers design, build and maintain massive databases that support web applications or other digital services.

As an AWS Data engineer, your role involves constructing data models that gather information from various sources and organize it in a useful manner. You will also be responsible for maintaining data integrity through the development of backup and recovery mechanisms, enhancing database design to improve performance, exploring new technologies and data sources for ongoing projects, identifying patterns and insights in data to inform business decisions and strategies, integrating data using AWS tools, and much more.

According to glassdoor.co.uk, the average annual salary for an AWS Data Engineer in the UK is £50,325. However, this figure can vary depending on factors such as the company you work for, your location, and your level of experience. You can also earn much more if you are get contract roles.

This course will equip you with the fundamental concepts of AWS Data Engineering. It will also serve as a good foundation and starting point towards preparation for the the AWS Certified Data Engineer certification, which can be taken in your own time.

Prerequisites

  • General IT technical knowledge
  • Keen interest in pursuing an IT career

Additional Details

  • Delivery Mode – Live Instructor-led Online
  • Duration – 4 Weeks
  • Time – 6:30pm – 9pm
  • Cost – £730
Start DateSpacesRegistration
08/01/2024FULL CLOSED
05/02/2024FULL CLOSED
04/03/2024LIMITED SPACESCLICK HERE
01/04/2024SPACES AVAILABLECLICK HERE
01/05/2024SPACES AVAILABLECLICK HERE
03/06/2024SPACES AVAILABLECLICK HERE
01/07/2024SPACES AVAILABLECLICK HERE
05/08/2024SPACES AVAILABLECLICK HERE
02/09/2024SPACES AVAILABLECLICK HERE
07/10/2024SPACES AVAILABLECLICK HERE
04/11/2024SPACES AVAILABLECLICK HERE
02/12/2024SPACES AVAILABLECLICK HERE

COURSE CONTENT

Data Ingestion and Transformation

  • Data Ingestion
  • Transform and process data
  • Orchestrate data pipelines
  • Apply programming concepts

Data Store Management

  • Choosing a data store.
  • Data cataloging systems.
  • Lifecycle of data.
  • Data models and schema evolution.

Data Operations and Support

  • Data processing using AWS services
  • Analyze data by using AWS services
  • Maintain and monitor data pipelines
  • Data quality

Data Security and Governance

  • Authentication mechanisms.
  • Authorization mechanisms
  • Data encryption and masking
  • Prepare logs for audit
  • Data privacy and governance