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, ...

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.

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.

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 ...

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.