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.

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: ...

Customers that already use SQL Server Analysis Services in their private data centers can take the models from that deployment and move them to Azure, too.

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 ...

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.