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Design, build, and maintain data lake solutions for internal and external data sharing. Implement traditional database and Data Warehouse concepts for cloud, on-premise, and hybrid architectures.
DBTA's webinar, The Impact of AI on the DBA, illustrated the new challenges and opportunities facing DBAs in the AI era, featuring expert perspectives on the skills, tools, and mindsets required for ...
Computerwoche's Martin Bayer sat down with Thorsten Hermann, SVP technology and Germany country leader, at Oracle to discuss ...
Discover how hackers exploit XSS to steal data hijack accounts escalate privileges and breach entire systems turning a small ...
Oracle today launched Oracle Globally Distributed Exadata Database on Exascale Infrastructure. This new service is designed ...
The Register on MSN2d
Snowflake builds Spark clients for its own analytics engineNo need to spin up separate Apache Spark clusters, vendor claims Snowflake is launching a client connector to run Apache ...
Exadata Exascale uses a multitenant resource pool, hardware-based remote direct memory access and predictive preprocessing to ...
Powerful tools won't save your data if you choose the wrong approach. Here's why recovery strategy—not software—is the single ...
The Nasdaq Composite returned 12% annually in the last two decades, and the gains should continue as technology stocks ...
Data scientists will get access to what Google calls a “reimagined” AI-first Colab Enterprise Notebook experience available ...
Oracle announced it evaluated MCP and has integrated it into its core developer tools, making the Oracle Database immediately available on any platform supporting MCP. This integration is made ...
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