Session

Analyzing Big Data in Azure cloud using Spark and Databricks

Databricks is one of the best tools for data exploration. It allows us to connect and query any data management service or read files in various formats. Databricks runs on every major public cloud, Azure, AWS, Google, and is tightly integrated with the cloud security, storage, and other cloud services. Databricks allows you to use the SQL language or programming languages like Scala or Python in a rich web interface based on Jupyter Notebooks.
During this session we will talk about Azure Databricks key features, and typical scenarios where Spark can fit, will see a lot of demos and I will share my top list of Azure Databricks best practices.

Maria Zakourdaev

Maria Zakourdaev, Microsoft Data Platform MVP and Data TLV organizer

Ashkelon, Israel

Please note that Sessionize is not responsible for the accuracy or validity of the data provided by speakers. If you suspect this profile to be fake or spam, please let us know.

Jump to top