Organizations today rely on data-driven decision-making, but managing massive datasets across cloud platforms can be complex. DP-3011 Implementing a Data Analytics Solution with Azure Databricks equips data professionals to prepare, analyze, and govern data at scale using Apache Spark’s distributed computing capabilities.
In this one-day training, you’ll gain hands-on experience with Delta Lake for versioning and data integrity, automate data pipelines with Delta Live Tables, and implement governance with Unity Catalog. You’ll also explore Spark for large-scale data analysis, orchestrate workflows for production deployments, and collaborate in Python and SQL notebooks to deliver high-quality analytics-ready data.
This course is ideal for data analysts and data professionals who work with large datasets and want to leverage Azure Databricks for advanced analysis and pipeline automation. It is especially valuable for those responsible for preparing data for downstream analytics, applying governance to data lakes, and collaborating in notebook-based environments.
By the end of this course, participants will have the confidence to prepare and analyze data in Azure Databricks while applying governance and automation best practices. You will learn to:
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Class times are listed Eastern time
This is a 1-day class
The classes listed are available to all United Training customers and does not reflect, in any way, the availability or support of technology within the University of Maine System.