Packt
4 weeks to complete at 10 hours a week
Master data engineering workflows with Azure Databricks, from Delta Tables to CI/CD pipelines.
This course is ideal for data engineers, cloud professionals, or anyone with a basic understanding of Azure, Databricks, and cloud platforms.
The course starts with an introduction to data engineering and a thorough exploration of the Databricks platform. You'll learn how to set up an Azure cloud account, create Databricks workspaces, and understand the architecture. Hands-on activities include creating Spark clusters and using notebooks. You'll dive into Databricks File System (DBFS), Unity Catalog, and perform operations on Delta Tables, including time travel and schema evolution. Key topics also include Databricks' incremental ingestion tools and Delta Live Tables (DLT), providing insight into handling large-scale, real-time data processing.
Packt helps tech professionals put software to work by distilling and sharing the working knowledge of their peers. Packt is an established global technical learning content provider, founded in Birmingham, UK, with over twenty years of experience delivering premium, rich content from groundbreaking authors on a wide range of emerging and popular technologies.
Ideal for data engineers and professionals aiming to expand their Databricks expertise, this course will equip you with the essential skills to excel in Azure Databricks, a top platform for data engineering. By the end of this course, you will be proficient in setting up Databricks services, managing workflows, and utilizing Delta Lake and Databricks tools for effective data engineering.
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