Learn the fundamentals of working with big data with PySpark.

This course contains an overview and demonstration of numerous components in the Amazon Web Services (AWS) Big Data Stack.

Learn about the architecture and management of big data systems.

Big Data is the present and the future. It enables you to make informed decisions and predictions based on insights obtained from your data. In this course you will learn why big data matters, how it is changing the world, and what you can do about it.

Big Data technology has gone from hype-driven to enterprise-ready. This course will teach you about Big Data concepts, major technologies and dominant vendors, as well as strategic approaches for adopting Big Data analytics in your organization.

Pipelines are the lifeblood of a data analytics solution. Learn how to use Azure Synapse Analytics pipelines to build integrated data solutions that extract, transform, and load data across diverse systems.

Transactions and error handling are great, but they have some pitfalls that it helps to know about. This course will teach you how to work with transactions and error handling to make your system efficient, well-performing, and observable.

Learn how to design and implement triggers in SQL Server using real-world examples.

Data pipelines typically fall under one of the Extra-Load, Extract-Load-Transform or Extract-Transform-Load paradigms. This course describes which paradigm should be used and when for batch data.

Data pipelines typically fall under one of the Extract and Load (EL), Extract, Load and Transform (ELT) or Extract, Transform and Load (ETL) paradigms.

Azure Data Engineers design and implement data solutions in the Microsoft Azure cloud. This course will teach you how to use Azure products to perform batch data processing operations.

Kafka can do more than just storing streaming data. This course will teach you to aggregate and analyze data in Kafka with ksqlDB and Kafka Streams.