Data ingestion with Kinesis, DMS and MSK, ETL with Glue and EMR, analytics and visualization.
Program: Data & AIData Analytics builds the skills to design and run analytics pipelines on AWS: ingesting data with Kinesis, DMS and MSK, transforming it with Glue and EMR, and analysing and visualising it.
Please note that AWS has retired the Data Analytics - Specialty exam. The knowledge remains valuable, and the learning pathway continues to the AWS Certified Data Engineer - Associate (DEA-C01).
Who it's for: Data engineers, analysts and architects building analytics platforms on AWS.
Prerequisites: Experience with data and analytics concepts and some AWS familiarity.
Businesses want insights in seconds rather than days.
Data lakes and warehouses are converging into unified platforms.
Catalogs, lineage and access control are essential as data volumes grow.
Clean, well-organised data is the prerequisite for machine learning and generative AI.
The retired exam is no longer available, but the material maps closely to the current Data Engineer Associate certification. Consider taking DEA-C01 as your credential.
No classes are scheduled for this course yet.
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