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 ...

With the advent of the data-driven era, NL2SQL technology has emerged, enabling users to generate database query statements using simple natural language, significantly lowering the barriers to data ...

The Rise of Vibe Analytics event also marks the general availability of Plotly Studio and Plotly Cloud, following an ...

The new agent upgrades the Databricks Assistant, enabling it to help data practitioners complete repetitive tasks and ...

How to use SQL for Data Analysis 1:07 pm August 8, 2024 By Julian Horsey In the world of data analysis, advanced SQL techniques are essential for extracting valuable insights from complex datasets.

With growth in unstructured big data, RDBMS is inadequate for big data analytics. Know how to use SQL and MapReduce for big data analytics, instead.

The core value of conversational BI lies in lowering the threshold for data analysis and promoting "data democratization." Traditional BI requires users to master SQL, OLAP, and possess data thinking ...

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.

New extension fosters analytics of various types of data stored in the Azure Data Lake using U-SQL, a blend of declarative SQL and imperative C#.

Analytics engineers have some of the most in-demand big-data roles in the industry. They're experts in SQL and a new tool called dbt, tasked with cleaning large data sets. Companies like Amazon ...