1. Introduction: Two Evolutionary Paths to Data Democratization In the wave of digital transformation for enterprises, data analysis capability has become the core of competitiveness. However, ...

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: ...

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 ...

Prophecy has announced the release of Prophecy 3.0, to provide first-of-its-kind, low-code SQL capabilities for business data users.

In October, Cloudera acquired Eventador, which developed a SQL-based streaming data analysis solution based on Apache Flink. With the work to integrate that product with the Cloudera Data Platform ...

Structured query language (SQL) is often required for data science, coding and other tech industry jobs. Because SQL is one of the most common programming languages used in working with databases ...

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.

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 ...

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