Microsoft recently announced SQL Ledger implementation in the Azure SQL Database. In this video I talk about decentralisation, decentralised ledger, blockchain, and how it applies to Azure SQL Database.
SQL Ledger Whitepaper: https://azure.microsoft.com/mediahandler/files/resourcefiles/-sql-ledger-cryptographically-verifiable-data-in-azure-sql-database-/SQL%20Ledger%20White%20Paper.pdf
In this video i cover the latest updates in the area of Azure Data from MS Build 2022. It includes Microsoft Intelligent data platform, SQL Server 2022, Azure Cosmos DB, Azure Synapse Analytics, Azure SQL Decentralization capabilities, Microsoft Purview
In this video I cover the latest updates in the area of Azure AI from MS Build 2022. It includes, OpenAI, Azure Cognitive Service, ResponsibleAI Dashboard, Azure ML Managed Endpoints, Partnership with Meta, AMD and HuggingFace. Its the first part of two part series. In the second part I will cover the updates in the area of Azure Data.
In this video, I share as to how choice of compute and chip architecture makes a difference in performing data analytics using Intel Xeon 3rd Generation processors and Databricks.
In this video, I cover some of the highlights from the world of data analytics. In this episode, - Public preview: managed identity based authentication for Stream Analytics and Azure Cosmos DB - NITI Ayog launches NDAP - National Data and Analytics Platform - Intel and Databricks benchmarks for Intel Xeon 3rd Generation Processors and Databricks Photon
In this episode I talk about AlloyDB, a managed PostgreSQL DB by Google announced at Google I/O 2022
In this episode I cover some of the major updates from the world of analytics. The updates are for the week ending 2022-05-15
In this talk I share my experience and touch upon the evolution of streaming frameworks especially spark streaming
This episode provides a deep dive into Google Dataset search: https://datasetsearch.research.google.com
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This episode builds upon the previous episode and talks about what are the challenges to have graph analytics over relational database, what is possible today and future of Graph and Relational DB coming together.
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Vertexica: https://dspace.mit.edu/bitstream/handle/1721.1/100912/Madden_Vertexica.pdf
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Paper 1: Carneghie Mellon University: Automatic Database Management System Tuning Through Large-scale Machine Learning. https://www.cs.cmu.edu/~ggordon/van-aken-etal-parameters.pdf Paper 2: Tsinghua University, China A Query-Aware Database Tuning System with Deep Reinforcement Learning http://www.vldb.org/pvldb/vol12/p2118-li.pdf
Provide your feedback, the topics that you think should be added to the show, or share your experience with a tech stack, or it can even be a problem that you recently solved. Direct message me on linkedIn: https://www.linkedin.com/in/puneet-sachdeva-1b257117/ or Record your voice message either on anchor.fm app or at the link: https://anchor.fm/thedatabeat/message
AI for Good: https://bit.ly/37QjQp3
CSAs security guidance collateral: https://bit.ly/2OhQ7h6
Improving cloud security by Same Bocetta: https://bit.ly/2vHsic5
Provide your feedback, the topics that you think should be added to the show, or share your experience with a tech stack, or it can even be a problem that you recently solved.
Direct message me on linkedIn: https://www.linkedin.com/in/puneet-sachdeva-1b257117/
or
Record your voice message either on anchor.fm app or at the link: https://anchor.fm/thedatabeat/message