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, ...

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.

Considering a career as a data analyst or data engineer? Explore the differences between the roles and how they collaborate in the tech world.

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

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 ...

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.

Business analytics is the practical application of statistical analysis and technologies on business data to identify trends and predict business outcomes.

Just as we are with cloud platforms in general, with data storage, we are increasingly hearing about a hybrid architecture which is being called the "data lakehouse” approach.

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.