Data engineering on AWS. Vol 1, OLAP & data warehouse.

Format:

Video

Contributor:

Dey, Soumyadeep, instructor.

Packt Publishing, publisher.

Language:

English

Subjects (All):

Amazon Web Services (Firm).

Cloud computing.

Big data.

Physical Description:

1 online resource (1 video file (37 hr., 20 min.)) : sound, color.

Edition:

[First edition].

Place of Publication:

[Birmingham, United Kingdom] : Packt Publishing, 2026.

Summary:

In this 37-hour course, build practical skills in aws data warehousing and olap data engineering through structured explanations and applied scenarios. Gain a clear path from foundational concepts to usable workflows, platform choices, and professional data or AI outcomes. What I will be able to do after this course Design OLTP, OLAP, and dimensional data models Use Amazon S3 for distributed storage patterns Configure Redshift objects, security, and workloads Tune Redshift queries and warehouse performance Apply Athena, Glue Catalog, and Lake Formation concepts Course Instructor(s) Soumyadeep Dey is an Enterprise and IT Architect with 21+ years of leadership experience designing business solutions. He works as a Microsoft Data and AI Architect, previously served as a Senior Data and AI Architect with AWS India, and brings expertise across AWS, Azure, databases, data engineering, AI, and ML. Who is it for? Intended for data engineers, data scientists, data analysts, Python and application developers, big data developers, DBAs, big data administrators, solutions architects, cloud architects, and technical or project managers. AWS and SQL knowledge is helpful.

Notes:

OCLC-licensed vendor bibliographic record.

ISBN:

9781808654398

OCLC:

1608649358