Data Engineering with Microsoft Azure

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In this lesson, students will learn the basic difference between relational and non-relational databases, and how each type of database fits the diverse needs of data consumers.

In this lesson, students understand the purpose of data modeling, the strengths and weaknesses of relational databases, and create schemas and tables in Postgres

Students will understand when to use non-relational databases based on the data business needs, their strengths and weaknesses, and how to creates tables in Apache Cassandra.

In this lesson, you'll learn about the course, including the prerequisites, tools, environment, and course project.

In this lesson, you'll be introduced to data warehouses, ETL, and OLAP cubes.

In this lesson, you'll learn about ELT, the differences between ETL and ELT, and general cloud data warehouse technologies.

In this lesson, you will learn about specific data warehouse technologies and solutions in Azure.

In this lesson, you will have the opportunity to implement a data warehouse in Azure using Synapse.

In this lesson, you'll learn about the course, including the prerequisites, tools, environment, and course project.

In this lesson, you will learn about the problems that Apache Spark is designed to solve. You'll also learn about the greater Big Data ecosystem and how Spark fits into it.

In this lesson, we'll dive into how to use Spark for cleaning and aggregating data.

In this lesson, you will learn best practices for debugging and optimizing your Spark applications.

In this lesson, you'll create Spark Clusters and Spark code on the Azure Databricks platform.

In this lesson, you'll create data lakes and Lakehouse architecture on the Azure Databricks platform

Welcome to Data Pipelines with Azure! In this lesson, you'll learn more about the course, including the prerequisites and tools you'll be using.

In this lesson, you'll learn about the components of data pipelines in Azure Data Factory and Synapse Analytics.

In this lesson, you'll learn about transforming data as it moves through activities in a pipeline.

In this lesson, you’ll learn about optimizing Azure Data Factory and Synapse Analytics Pipelines for data quality and integrity.

In this lesson, you'll learn about features of Azure Data Factory and Synapse Analytics pipelines that you’ll use in production.

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