22-25 April 2026
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SQLBits 2020

Sandboxing SQL Server 2019 Big Data Clusters

Learn how you can take advantage of the separation of compute and storage between BDC and Hadoop to isolate your workloads and increase your compute processing power without having to scale your Hadoop environment.

SQL Server 2019 Big Data Clusters (BDC) combines all the power of SQL Server, Apache Spark and HDFS in a single deployment package. Take advantage of this unified analytics platform to create your own analytical sandbox for your experiments and data mashups. Learn how you can take advantage of the separation of compute and storage between BDC and Hadoop to isolate your workloads and increase your compute processing power without having to scale your Hadoop environment.

Speakers

Daniel Coelho

Daniel is a Senior Program Manager at Microsoft. He is responsible for building the next generation of Big Data products for enterprise customers, focused on driving the features for Spark and in-database Machine Learning in Big Data Clusters team.

Rahul Ajmera

Rahul Ajmera is a Product Manager in Azure Data at Microsoft. Rahul works on SQL Server Big Data Clusters addressing the needs of Data Engineers and Data Scientists and previously on machine learning experiences for the SQL Server related products.

Daniel Coelho's Sessions

Sandboxing SQL Server 2019 Big Data Clusters

Rahul Ajmera's Sessions

Sandboxing SQL Server 2019 Big Data Clusters