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 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, ...

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 ...

SINGAPORE, Sept. 3, 2025 /PRNewswire/ -- 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 ...

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, ...

NEW YORK, Dec. 15, 2021 — Sisense, a leading AI-driven platform for infusing analytics everywhere, today announced Sisense Notebooks, a new code-first functionality within Sisense Fusion Analytics ...

SQL Server Analysis Services, one of the key features of Microsoft’s relational database enterprise offering, is going to the cloud. The company announced Tuesday that it’s launching the public beta ...

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

Stripe Sigma is a new tool to let customers of the $9 billion startup make sense of their huge stockpiles of payment data.

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.