In today’s fast-paced electronics design automation (EDA) environment, effective data management has become essential.

The authors argue that effective data management must be treated as an end-to-end supply chain capability rather than a set ...

Forbes contributors publish independent expert analyses and insights. Chief Analyst & CEO, NAND Research. In an era where artificial intelligence is reshaping industries, Oracle has once again ...

Data management is the process businesses use to gather, store, access and secure data from various platforms. Managing this information properly helps organizations utilize data analytics to gain ...

DevOps is now the most prevalent software development methodology in use. Since 2009, it has spread beyond development teams into other functional areas. One of the earlier DevOps extensions was into ...

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Databases will soon be capable of monitoring their own health, identifying bottlenecks, adjusting configurations, and even rerouting traffic in real time. Generative AI has already had a profound ...

DQM is becoming a core capability for organizations that need to make better decisions with data. What are the responsibilities of different roles in DQM? Image: WrightStudio/Adobe Stock Data quality ...

Much has been written about the importance of funding and developing digital data repositories, data classification tools such as computational ontologies, and software that would enable the efficient ...

Database admins strive to ensure that large chunks of data are both accessible and stored with integrity. By using these programming languages, they can keep systems optimized. As data volumes ...