This online data science specialization is ideal for learners interested in database design, database software fundamentals, and how to use Structured Query Language (SQL) to work with databases. You ...

In this issue's column I'll be providing a fundamental introduction to database and database management concepts. Many of you may think that they understand the basic concepts and fundamentals of ...

Data estates are expansive. Organizations in all business verticals are operating data stacks that run on a mixture of legacy technologies that work effectively but aren’t always easy to move or ...

For nearly 30 years, PostgreSQL (a.k.a., Postgres) has arguably been the most common SQL open source database that you have never heard of. Call it the Zelig of databases, its technology either sat ...

Inside a relational database management system, the princi­pal persisted data structure is considered a logical relation. Operations performed against that data within the RDBMS result in a logical ...

The information below serves as a brief primer to help you better understand the database terms you’ll most often encounter. Relational Databases. Relational databases became the database of choice ...

Cloud metrics firm Datadog now allows monitoring of the cloud-based version of an old IT standby: the Azure SQL relational database. Database technology is changing rapidly, with NoSQL gaining in ...

The concept behind Splice Machine sounds like a dare: Take the Hadoop NoSQL data store and use it to create a SQL relational database solution that can scale as easily as Hadoop. Now, after a beta ...

Actian is describing the newly announced Hadoop Edition of its analytics software as the first platform with full SQL support designed to run entirely natively on the distributed big-data framework.

Community driven content discussing all aspects of software development from DevOps to design patterns. The goal of Hibernate and JPA is to hide the complexity of SQL and relational databases from the ...