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Big Data Ecosystem Challenges

…etworks and computer systems can be aggregated, stored, and analysed to identify where misuse occurs. The enormous amount of data involved in these analyses is beyond the capability of traditional systems and requires a new, big data approach. Given the right tools, skills and people, security teams can take advantage of big data analysis to quickly identify malicious activity and remediate attacks. Together, the big data platforms, the…


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Cisco @StrataConf : Best Practices for Hadoop In Production-Panel Discussion”>webinar

…r. If you plan to go you better have tickets because the event is sold out. If you are attending the three days of sessions, keynotes, receptions and exhibits, please stop by the MapR booth for some face time with one of our big data partners and plan to attend their sponsored panel discussion which includes Cisco IT and other MapR customers facilitated by Mike Gualtieri from Forrester Research. Best Practices for Hadoop In Production “Mike…


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Big Data Essentials: Don’t Let Your Sandbox Turn Into Quicksand

…ion – including all of its Big Data analytics processing. Cisco IT’s Big Data Infrastructure Platform You can read more about Cisco IT’s use of Cisco Tidal Enterprise Scheduler for their Big Data infrastructure here: Cisco IT Automates Workloads for Big Data Analytics Environments from Cisco Data Center Additional resources about Cisco’s solutions for Big Data can be found here: and I’d also encourage you to read the Big


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New Reference Book: Big Data Management, Technologies, and Applications

Due to the tremendous amount of data generated daily from fields such as business, research, and sciences, big data is everywhere and represents huge opportunities to those who can use it effectively. In the past, this information was simply ignored and opportunities were missed. Realizing the great importance of big data, organizations scramble to find hidden information buried in big data and try to make the best use of it. I have recently…


Big Data in Security – Part III: Graph Analytics

…lational databases. The actual graph database technology is fairly nascent, really becoming prominent in the last decade. It’s been driven by the cheaper costs of storage and computational capacity and especially the rise of Big Data. There have been a number of players driving development in this market, specifically research communities and businesses like Google, Facebook, and Twitter. These organizations are looking at large volumes of data


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