Data analytics is a fast-moving field that considers sets of information to help leaders develop informed decisions and strategies in all types of organizations. ... "This creates the need to (expand) ...

Nested data structures are a boon to modeling, storage, and query performance, but pose challenges to traditional BI tools. Here’s how to overcome them ...

Data analytics involves recognizing which data is useful for a business goal and selecting that data as a “feature.” There are many automated technologies today that excel in data analytics ...

Data analytics is a discipline focused on extracting insights from data, including the analysis, collection, organization, and storage of data, as well as the tools and techniques to do so.

Azure Data Lake Analytics (ADLA) is an older on-demand (serverless) analytics job service that simplifies big data, and uses U-SQL, which is SQL plus C#.

Data analytics is the science of analyzing raw data in order to make conclusions about that information. It helps businesses perform more efficiently and maximize profit.

DataOps (data operations) is an agile, process-oriented methodology for developing and delivering analytics. It brings together DevOps teams with data engineers and data scientists to provide the ...

In the face of an impending economic slowdown, making the right business decisions is more critical than ever. This article will explore how decision making using Big Data and data analytics can ...

Predictive analytics is a process that uses statistics and modeling techniques to make informed decisions and predictions, based on current and historical data, about future outcomes.