These qualities of SQL and other factors pushed data analysts to write code that’s difficult to share or repurpose. Thinking back on those agile principles, data analytics wasn’t doing so great.

今回発表されたSQL Analyticsは、顧客の保有する既存のデータレイク（HDFS、AWS S3など）にデータブリックスの「Delta Lake」による抽象化レイヤーを ...

Databricks adds new SQL Analytics Workspace and Endpoint features, consolidating its acquisition of Redash and bolstering its "data lakehouse" marketing push.

Databricksは、データレイクでSQLクエリを直接実行できるサービス「SQL Analytics」を発表した。データウェアハウスとデータレイクの特徴を兼ね備え ...

In this article, the author shows how to use big data query and processing language U-SQL on Azure Data Lake Analytics platform. U-SQL combines the concepts and constructs both of SQL and C#. It ...

データレイク上でBIのパフォーマンスを実現するために、SQL Analyticsは以下の2つのユニークな技術革新を利用しています。

At the same time, streaming analytics technology is becoming increasingly accessible through open source projects, such as Apache Storm and Apache Spark, and complex event processing (CEP) engines.

Microsoft announced at the end of February 2022 that significant changes are in store across its SQL Server analytics products. To set the context, the broader enterprise IT marketplace was still ...

Big data vendor Databricks unveiled SQL Analytics for running SQL queries on data lake systems as an alternative to data warehouses.

SQL Server 2016 shines with stretch database to Azure, queries against Hadoop, internal R, better security, and higher performance ...

AI and data analytics company Databricks today announced the launch of SQL Analytics, a new service that makes it easier for data analysts to run their standard SQL queries directly on data lakes ...