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AWS-D-LAKE – Building a Serverless Data Lake

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Course Outline:

Course Outline:

  • 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

Course Audience:

Audience:

  • Solutions architects
  • Big Data developers
  • Data architects and analysts
  • Other hands-on data analysis practitioners

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 Offerings:

Instructor-Led In Classroom 
Newcomp can directly deliver courses through the use of in-class training facilities. Currently, in-class courses are offered in Markham, Ottawa, Vancouver, Halifax, and Edmonton. Please note that classes can be added to new areas based on demand.

Instructor-Led Online 
Students receive the same quality as an in-class course, with a live instructor and the ability to participate in hands-on labs through real-life examples. ILOs help cut costs by reducing time and travel as they can be taken from home or the office and require only the use of a computer, high-speed wired internet and a headset.

  • Course Outline
  • Course Audience
  • Course Offerings
  • Related Courses

Course Outline:

  • 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

Audience:

  • Solutions architects
  • Big Data developers
  • Data architects and analysts
  • Other hands-on data analysis practitioners

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

Instructor-Led In Classroom 
Newcomp can directly deliver courses through the use of in-class training facilities. Currently, in-class courses are offered in Markham, Ottawa, Vancouver, Halifax, and Edmonton. Please note that classes can be added to new areas based on demand.

Instructor-Led Online 
Students receive the same quality as an in-class course, with a live instructor and the ability to participate in hands-on labs through real-life examples. ILOs help cut costs by reducing time and travel as they can be taken from home or the office and require only the use of a computer, high-speed wired internet and a headset.