Engineered Systems for Big Data: New Video from Intel and Oracle

To extract maximum value from Big Data, structured and unstructured data needs to be acquired, organized and analyzed. Oracle’s Big Data Appliance running Intel® Xeon® processors was built for this purpose. Big Data presents a big challenge, particularly when you have such varied sources as social media, services logs, videos, RFID feeds, and more. Our new video, posted below, shows how Intel and Oracle are working together to solve this challenge.

Seamless integration of the “acquire,” “organize” and “analyze” steps is crucial to ensure the entire process is fast and efficient. That’s where Oracle Big Data Connectors come in to play. Oracle Big Data Connectors deliver a high performance Hadoop to Oracle database integration solution that enables analysis directly on Hadoop data. Intel Xeon processors ensure all of this activity runs quickly, efficiently and without a hitch.

You can read more about it in Oracle’s white paper Big Data for the Enterprise, and watch the video to learn how the Oracle Big Data Appliance and Big Data Connectors, Cloudera’s distribution of Hadoop and Intel Xeon processors work together to help businesses manage Big Data and make smarter decisions faster.

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Tim Allen

About Tim Allen

Tim is a strategic relationship manager for Intel driving enablement for enterprise software companies related to the cloud, big data, analytics, AEC, commercial VR, datacenter, and IoT. Tim has 20+ years of industry experience including work as a systems analyst, developer, system administrator, enterprise systems trainer, product marketing engineer, and marketing program manager. Prior to Intel Tim worked at IBM, Tektronix, Intersolv, Sequent and Con-Way Logistics. Tim holds a BSEE in computer engineering from BYU and an MBA in finance from the University of Portland. Specialties include - PMP, MCSE, CNA, HP-UX, AIX, Shell, Perl, C++