@canarabank It has been a great customer experience working with Hyd Circle office team for my FCNR deposit. I would like to thank
CGM sir Mr. Kalyan Ji,
GM Mr. Thophic Ji,
DGM Mr. Sudharkar garu
SrMg Deepthi ji
NRI Branch RM Mrs. Abhilasha
#canarabank#canara
Special mention to Neeru ji, Rajat ji too.
I would like to mention their support all through the process and quick response time at every point. It's delight for NRI customers to be associated with canaraNRI
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.
https://t.co/O5pGlKBSzN
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.
https://t.co/O5pGlKBSzN
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.
https://t.co/7I02ScCofC
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.
https://t.co/O5pGlKBSzN
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.
https://t.co/O5pGlKBSzN
Azure Spark comes packaged with higher-level libraries, including support for SQL queries, streaming data, machine learning, and graph processing.
https://t.co/iAzF9H3Ab0
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.
https://t.co/O5pGlKBSzN
Managed identities for Azure resources provide Azure Data Factory with an automatically managed identity in Azure Active Directory.
https://t.co/wl6Swuym0F
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.
https://t.co/nwqDDomb3E
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.
https://t.co/4IHFc0klXb
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.
https://t.co/wl6Swuym0F
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.
https://t.co/wl6SwugKC5