What is Azure Synapse Analytics?Azure Synapse Analytics is the Azure SQL Datawarehouse rebranded. Azure Synapse Analytics v2 (workspaces incl. Azure Synapse Studio) is still in preview. This version of Azure Synapse Analytics integrates existing and new analytical…

Introduction to the Durable Functions extension for Azure Functions.

Describes the concept of a hierarchical namespace for Azure Data Lake Storage Gen2

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October 2022: This post was reviewed for accuracy. Organizations can gain deeper and richer insights when they bring together all their relevant data of all structures and types and from all sources to analyze. In order to analyze these vast amounts of data…

Learn about the new Structured Streaming functionalities in the Apache Spark 3.1 release, including a new streaming table API, support for stream-stream join, multiple UI enhancements and more.

Breaking down the main activities of a data engineer in 2021

This time I’m not gonna teach you about monads, monoids, trifunctors, implicits or any other Scala-related notions. Think of this post as more of an aggregate. The one that you can save to your ‘Reading List' in Google Chrome or the Pocket app and come back…

An interview with Maxime Beauchemin about how to use Apache Superset as a platform for self-service data exploration and analytics.

Ближайшая конференция: SmartData 2022 – 17–18 октября (Online), 29 октября (Offline)
Билеты – https://bit.ly/3amdcNO — . Kusto — это новая и стремительно набирающая обороты платформа для работы с Big Data. Несколько лет назад она завоевала весь Майкрософт…

This SQL-first integration with Databricks means that analysts can build fully automated data pipelines in the same space that data engineers & data scientists work in their preferred frameworks.

We are excited to announce that Ballista has been donated to the Apache Arrow project. Ballista is a distributed scheduler for the Rust implementation of Apache Arrow.

When ChaosSearch emerged from stealth last year, its mantra was all about enabling customers to run log analytics on massive amounts of data in Amazon S3

Starting a series 'Let's Unblock' for the common blockers that programmers/developers face while developing an application specifically Spark with Scala.