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.

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 ...

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, ...

Use the tools and techniques of data analysis to make sense of mountains of information.

The exponentially increasing amounts of data being generated each year make getting useful information from that data more and more critical. The information frequently is stored in a data warehouse, ...

Oracle's MySQL HeatWave Lakehouse allows queries and analytics on data stored outside the database as if that data were stored directly within a database.

In today's business world, while data professionals have access to advanced AI tools, they still remain heavily dependent on manual data analysis. Ada, the world's first AI data analyst, launches ...

Sun has upgraded MySQL Enterprise, its subscription-based service for the open-source MySQL database, adding access to a query analysis tool for tracking and fixing problematic code and ...

Sun has upgraded MySQL Enterprise, its subscription-based service for the open-source MySQL database, adding access to a query analysis tool for tracking and fixing problematic code and ...