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.

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.

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.

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, ...

According to statistics from Liepin.com, 90% of big data positions require at least one programming language to be mastered. From a data analysis assistant earning 8k a month to a data scientist ...

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.

An interesting session I attended at the PASS Summit in Seattle was one concerning dealing with VLDBs in SQL Server. It was called “Big Data – Working with Terabytes in SQL Server” presented ...

Master data analysis with free datasets, custom data creation tips, and visualization tools. Perfect for Excel, Power BI, and SQL enthusiasts.

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 ...