Switch To Production: Building An AI-Ready Data Foundation
As organizations embrace enterprise AI, a fundamental question rumbles beneath the excitement: How do we govern enterprise AI and switch pilot projects into production? The answer depends less on AI’s unseen algorithms and far more on the data that supports them. Without a unified data foundation that is AI-ready, enterprise AI is not only difficult […]
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IT cost reduction objectives are upon us again, and every infrastructure manager knows that the data growth crisis is not only real, it is growing exponentially every day. The impact is severe because data growth 1) degrades the performance of production databases and file servers, 2) drives hardware upgrade requirements, 3) creates availability challenges during upgrade cycles 4) exposes the organization to legal liabilities, and 5) exacerbates the challenges of consumer data privacy and compliance. At the end of the day, IT cost is directly proportional to the amount of data under management. (more)
Becoming Cloud Native: How Web Standards And Open-Source Software Are Revolutionizing Application Development
Multicloud interoperability enables software applications to run and be accessed seamlessly across private and public clouds. (more)
What is an Enterprise Data Lake?
The rise of multi-cloud, data-first architectures and the broad portfolio of advanced data-driven applications that have arrived as a result, rely on data lakes to store all the data. A data lake is an open source and industry standard repository for storing large amounts of data. Subsequently, an enterprise data lake not only stores data, they also provide enterprise grade services to collect, explore, manage, govern, prepare and build pipelines for enterprise data. (more)
What is Cloud Data Management?
The rise of cloud native software and the broad portfolio of advanced data-driven applications that have arrived as a result require cloud data management systems to collect, organize, govern, and provide universal access to cloud resident data. Cloud data management architectures span private, multi-cloud, and hybrid cloud environments connecting data sourced not just from transaction systems, but from file servers, the internet or multi-clouds. (more)
How To fill your data lakes and not lose control of the data
Data lakes are everywhere now that cloud services make it so easy to launch one. Secure cloud data lakes store all the data you need to become a data-driven enterprise. And data lakes break down the canonical data structures of enterprise data warehouses, enabling users to describe their data better, gain better insights and make better decisions. (more)