Database News & Reviews - Page 6
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IT transformation itself isn’t news; that’s what been keeping the tech business in business for more than three generations. This, however, is about server upgrades that add much more functionality than previously.
This is a database analytics engine that goes to where the data resides, rather than the conventional other way around. DBAs will love this.
Gigya's customer identity and access management platform enables enterprises to build effective, lasting relationships with their customers.
Only 2 years old, and Salesforce's Trailhead digital skills program is already transforming careers. Here are eight people who used the program to skill up to launch a new career.
Oracle chairman Larry Ellison touted simplified pricing and what he claims is a huge price/performance advantage compared to cloud market leader Amazon Web Services.
The world's largest enterprise database maker said that it brought in revenue of $9.2 billion, up 7 percent over Q1 and easily outflanking Thomson Reuters analysts' projection of $9.02 billion.
The vendor reportedly is slashing another 2,500 jobs connected to businesses inherited from its 2010 acquisition of Sun Microsystems.
This injection of talent will help Oracle sustain momentum in what it describes as “the world's fastest growing multi-billion dollar cloud business,” a company spokesman said.
NEWS ANALYSIS: Oracle decouples Exadata database from proprietary chains and makes it available for bare-metal usage on the company's cloud infrastructure. This speaks well for Oracle's changing approach to open standards systems.
The database, data center hardware and software-as-a-service giant released a bunch of new capabilities and enhancements to cloud apps in its Oracle Cloud Applications Release 13.
Using Delphix’s new platform, structured production data need not be moved anywhere. Virtualized clones of databases of any size can be moved, analyzed, fixed, added to, subtracted from and patched, then slid easily into the production server.
Artificial intelligence is making its way out of the lab and into real-world applications, thanks to graphics processing units. Here's how GPUs are bringing huge performance improvements to AI models.