A database admin is responsible for the operation of databases, whereas a database architect manages the design, implementation and maintenance of databases. Key skills needed Operating systems (Linux ...

Increase productivity and eliminate developer stopgaps by evolving the way you manage databases. Software development has come a long way in the past few decades, but data management hasn’t. It’s time ...

In the age when data is everything to a business, managers and analysts alike are looking to emerging forms of databases to paint a clear picture of how data is delivering to their businesses. The ...

Online analytical processing (OLAP) databases are purpose-built for handling analytical queries. Analytical queries run on online transaction-processing (OLTP) databases often take a long time to ...

A decade ago, most businesses and organizations typically used one database, and that was generally one of the big four relational database platforms: Oracle, MySQL, SQL Server or PostgreSQL. In 2024, ...

Top GitHub database repositories for SQL tools, data engineering, analytics databases, and open source systems used in modern ...

The world used to get by on just a smattering of databases. You know, trusty relational workhorses like Oracle, Microsoft SQL Server, Ingres, and IBM DB2. Soon enough, however, open source crashed the ...

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 ...

The announcements add built-in durability for Amazon ElastiCache for Valkey and a new bring-your-own-media option for Amazon ...

Data management is constantly evolving, and a new trend is emerging: cloud database repatriation. What exactly does this mean, and why is it happening? Database repatriation refers to moving databases ...

For years, enterprise companies have been plagued by data silos separating transactional systems from analytical tools—a divide that has hampered AI applications, slowed real-time decision-making, and ...

Enterprises racing to deploy generative AI often focus on models. In practice, outcomes depend on how well organizations prepare, manage, and move their data. AI-ready data platforms, vector databases ...