Practical SQL queries are central to data analysis, including selecting films, finding special features, listing active customers, and more. Homework assignments reinforce learning through ...

SaaS data warehouses and low-code or no-code data ingestion tools empower the data analyst (now analytics engineer) to mostly self-serve on their infrastructural needs.

Using SQL and entity relationship diagrams, they learn how data is queried and modeled. In the process, students develop the mindset to promote innovative strategic initiatives that are increasingly ...

Know how to use SQL and MapReduce for big data analytics, instead. ... Read more on Business intelligence and analytics. Top 35 big data interview questions with answers for 2025. By: ...

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.

In SQL Server 2016, high-performance parallelized R services, built right into the database, can interact with T-SQL constructs, essentially bringing the analysis to the data instead of bringing ...

Prophecy 3.0’s unique technology enables business data users to visually build data pipelines that Prophecy instantly turns into SQL code (as dbt Core™ projects that are 100% open-source).

The same team that created GemFire builds on Spark in a new open source database that can analyze OLTP and OLAP workloads side-by-side ...

SlamData improves the efficiency of data analytics by utilizing SQL to perform ad hoc queries on data stored in NoSQL databases like MongoDB. And this efficiency is much needed, especially ...