Data Management | News, how-tos, features, reviews, and videos
As CIOs seek to automate enterprise storage infrastructure on at least some level, they’re finding a solution in autonomous automation of enterprise data and storage, for many reasons.
Access to a rich ISV ecosystem of applications and services can help enterprises unify and extract value from data wherever it resides.
Putting data and visualization tools in the hands of business people is one thing; getting IT out of the business of running reports is quite another.
Blending the structure of data warehouses and the flexibility of data lakes, data lakehouses are proving to be versatile tools for making the most of any data you want to collect.
A solid data management strategy can reap rewards for any business seeking to capitalize on the value of data. Still, the road to data-driven decision-making remains rife with challenges and conundrums.
A lot of organizations continue to struggle with leveraging their data. To become data-driven, organizations need to commit to treating data as a product and to transforming their culture.
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.
Organizations have discovered ways to overcome data management complexity and deliver the cloud operational experience. Hereu2019s how.
Informatica is offering new integrations with major cloud providers to make data migration, management and engineering less complex.
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