In this course, you will learn how to build an operational data lake on AWS that supports analysis of both structured and unstructured data. The course introduces the services and components used to create a data lake and shows how they fit into modern data architectures.
The training focuses on designing, building, securing, and operating data lakes using AWS services. You work with AWS Lake Formation to build and govern the data lake, AWS Glue to create and manage the data catalog, and Amazon Athena to analyse data. Through lectures and hands-on labs, the course explores common data lake architectures and how data lakes support analytics and data-driven decision making.
Course objectivesIn this course, you will learn to:
PrerequisitesWe recommend that attendees of this course have:
Target audienceThis course is intended for:
The course begins with the value of data lakes, how they differ from data warehouses, key components, and common data lake architectures.
You learn how data is ingested and stored in a data lake, how AWS Glue crawlers are used to build a data catalog, and how formatting, partitioning, and compression impact performance.
This section covers data processing in a data lake, using AWS Glue for processing, and Amazon Athena for querying and analysis. You complete a hands-on lab building a data lake with AWS Lake Formation.
You explore the features and benefits of AWS Lake Formation, its security model, and work through a lab that builds and secures a data lake.
The course covers built-in blueprints, advanced permissions, fine-grained access control, and tag-based access control in Lake Formation.
You learn how data lakes fit into modern data architectures, including scalable analytics, unified governance, data movement patterns, and data mesh concepts, followed by a lab on building and publishing a data product.
The course concludes with a knowledge check, architecture review, and course review.
Duration: 1 day
Price: 9 900 NOK
Course level: Intermediate
Er dette et sertifiseringskurs?
Nei, dette er et opplæringskurs og gir ingen formell sertifisering.
Er kurset praktisk rettet?
Ja, kurset inkluderer presentasjoner, forelesning, hands-on labs og gruppeøvelser.
Hvilke AWS-tjenester brukes i kurset?
Kurset dekker blant annet AWS Lake Formation, AWS Glue og Amazon Athena.
Passer kurset for deltakere uten erfaring med data lakes?
Ja, kurset gir en strukturert introduksjon til data lakes, men forutsetter grunnleggende AWS- og dataanalyseerfaring.
Handler kurset om moderne dataarkitektur?
Ja, kurset viser hvordan data lakes inngår i moderne dataarkitekturer, inkludert data mesh-tilnærminger.
