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Jeff Erickson
For you this week:
Get a first look at how developers and other IT pros are using the Always Free autonomous database. Then learn what FedRAMP clearance for Oracle data centers means for federal agencies, and check out how a UK grocer finds smiling faces to “clean up on aisle 5.”

Jeff Erickson, Oracle 
Developers Free DB
4 Ways Developers Are Using Free Oracle Databases
Heli Helskyaho is a database and data modeling expert in Finland who wants to use the Always Free Oracle Autonomous Database as a way to try new things and sell new ideas such as machine learning in her company—without having to shell out cash up front for the on-premises database option. Three more developers talk about the advantages of Always Free.
OCI US Gov
Oracle Brings Next-Gen Cloud Infrastructure to US Government
Two new cloud data center complexes, one outside Washington, DC, and one in Phoenix, Arizona, have met strenuous US FedRAMP as well as Department of Defense requirements. How does this help federal agencies build on the cloud?
Grocer
How a Grocer Finds Workers Willing to ‘Do It All’ with a Smile
Britain’s Co-op food stores need to find friendly, qualified staff to fill nearly 20,000 additional jobs each year. So handmade “help wanted” posters in store windows have been replaced by Oracle Cloud solutions, including an Oracle Taleo Recruiting module. And the results have been dramatic, including an offer acceptance rate of 98%.
Server Apps Patch
How Oracle Kept Server Apps Running During Patching
When a microprocessor vulnerability rocked the tech industry last year, companies scrambled to patch nearly every server they had. Oracle was able to patch the operating system on about 1.5 million Linux-based servers in just four hours, without taking down the applications the servers were running. It did the job using its own automation technology, which is at the heart of Oracle Autonomous Linux.  
REST-enabling OML
Tech Dive: REST-Enabling Oracle Machine Learning Models
One of the biggest challenges of working with machine learning projects is putting the models into production. With RESTful services, in-database machine learning models can be made available to the developers of production applications, no matter what programming language or development tools they use. Here, walk through the steps.
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