Databricks SQL enables quick access to data insights by enabling BI/SQL workloads in the lakehouse. It enables people to apply their existing SQL skills to big data analysis without learning a new language. fragmadata.com

Azure AD native integration allows customers to deliver a secure, zero-touch experience from the moment an Azure Databricks workspace is deployed. fragmadata.com

Now it is possible to build large-scale data copy pipelines with a metadata-driven approach on copy data tools within just 10 minutes. Copy data tool in Azure Data Factory eases the journey of building such metadata-driven data copy pipelines. fragmadata.com

Delta is an open-source storage layer on top of the data lake that brings ACID transaction capabilities on big data workloads. It is built on top of the Apache Parquet format together with a transaction/change log mechanism. fragmadata.com

Azure Databricks natively supports Delta Lake. With Azure Databricks one can use many enhanced capabilities such as Delta caching. With the new Azure Databricks, Power BI connector one can query Delta Lake tables directly using Azure Databricks clusters. fragmadata.com

Azure Databricks allows you to analyze, process, and report huge amounts of data in the cloud. It comes with a range of innovative and attractive features, including an interactive workspace, which helps developers code fast in a scalable cluster. lnkd.in/ezrQ_Jrf

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Delta Lake can alleviate or remove challenges linked with MLflow tracking, and allow for efficient code reproducibility for varying features. MLflow and Delta Lake would be the ideal solution for availing full data lineage through ML life cycles. lnkd.in/erz4h9RM

Managed identities for Azure resources provide Azure Data Factory with an automatically managed identity in Azure Active Directory. fragmadata.com

Azure Data Factory is trusted extensively by corporations around the world. It is widely used to implement Data Pipelines to prepare, process, and load data into an enterprise data warehouse or data lake. fragmadata.com

Azure Spark comes packaged with higher-level libraries, including support for SQL queries, streaming data, machine learning, and graph processing. lnkd.in/eB7Eerdh

To help customers looking to consume data directly from information stored in their data lake with the usage of Power BI, Microsoft and Databricks have built a new Azure Databricks connector in Power BI Desktop. fragmadata.com

Single Node clusters is a new and innovative cluster mode that allows you to use libraries like Pandas, Scikit-learn, PyTorch, etc. without wasting unnecessary compute/cost associated with traditional multi-node clusters. fragmadata.com

Apache Spark 3.2 release makes the engine more unified, simple, fast, and scalable. It comes with pandas API, which is a powerful and flexible data science library. lnkd.in/dKdrfr5H

The Data Factory home page has been redesigned for a modern and more accessible (WCAG 2.1) experience. Its brand new design is pretty fluid with better contrast and reflow capabilities. fragmadata.com

With Azure Databricks, you can set up an optimized Apache Spark environment in minutes. Native integration with Azure Active Directory and other Azure services you to build an end-to-end modern data warehouse, and real-time analytics solutions. fragmadata.com

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