If you work with SQL, you understand the importance of being able to monitor your queries, not to mention how critical it is to have an accurate analysis of ...
If you don't have an HTTP REST API, you may have a mess of database tables that require several requests to construct a meaningful interface. Here's how to deal with it.
How did Spark become so efficient in data processing compared to MapReduce? Learn about Spark's powerful stack of libraries and big data processing functionalities.
Learn about some of the tools you can use to help clients consume your API and create integrations by ensuring that it has informational documentation.
Learn how to handle and distribute requests properly and improve the QoS for the ODBC, JDBC, and OData APIs that you generate using Hybrid Data Pipeline servers.
Even once your Spark cluster is configured and ready, you still have a lot of work to do before you can run it in a Docker container. But these tips can help make it easier!
Password expiration is tricky with using Azure AD Connect, but a new tool, Pass Through Authentication, will bridge the gap between cloud and on prem password policies.
Zone Leader, John Vester, highlights the details behind Cisco’s 2017 mid-year report - where DeOS, cloud security, and improper DevOps deployments top his personal list of concerns.
With a blogger's attempt to install Windows 95 on VirtualBox on a MacOS box not ending well, he tries Windows 98 in the same environment. Will he be successful?
In order to capture API calls from arbitrary environments, we had to create middleware for many of the common web API frameworks. Here's what we learned.
Containerizing databases makes a lot of sense—especially for dev and test environments. See how to containerize your Oracle Database with build files provided by Oracle.