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 ...

Data analytics is the science of analyzing raw data to make conclusions about that information. It helps businesses perform ...

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

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.

Why is the language developers and DBAs use to organize data such a mess? Here are 13 reasons we wish we could quit SQL, even ...

To address these issues, two technological routes based on large language models (LLM) have emerged: Text2SQL and DataAgent. They represent two different approaches to data democratization. Text2SQL: ...

Integrated workflows. Go from model design to advanced analysis to visualization to source control, all in one location, and with the highest degree of data security. Analysis using SQL or Python.

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 ...

The construction industry from commercial, infrastructure, and renovation projects stands at a transformative crossroads, where traditional project management methodologies converge with advanced data ...