How Edge Computing is Transforming Data Analysis in the Cloud
Discover how edge computing is revolutionizing smart devices in the cloud and what companies in different industries can expect next.
Cloud data platforms are public or private cloud software systems built and operated with the primary purpose of managing data on the cloud.
Discover how edge computing is revolutionizing smart devices in the cloud and what companies in different industries can expect next.
From large, on-premises Hadoop farms to streaming ingestion, businesses are moving their enterprise data into the cloud. Here are some thoughts on how to do that.
Borrowing from SRE and DevOps and bringing data into the fold just as these groups did with infrastructure and applications, data reliability engineering is the practice of delivering high data availability and quality.
Real-time OLAP databases and streaming databases have many similarities and differences. As data requirements continue to evolve, we can expect to see more innovations in these two promising database fields.
At Gartner’s Data & Analytics Summit, we talked with John Knieriemen and Solongo Erdenekuyag, two Exasol executives, about trade-offs and balancing between capabilities and governance when selecting platforms over a collection of tools.
Cloud-based ERP systems with integrated source-to-pay solutions offer organizations a way to manage their procurement operations and drive success in today’s digitally transformed landscape.
Hypervisors are a critical part of a cloud strategy. Discover how they’re transforming cloud computing today.
Managing Kubernetes deployments through a cloud service provider can reduce the complexity of container orchestration and offer better scalability.
Data masking of cloud data helps businesses meet data privacy regulations and protect operations, customers, users, and sensitive information.
Heading into 2023, technology that provides flexibility, transparency, and the ability to do more with less will prevail.