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For Trevor Mason, working with Big Data just came naturally. Mason is the vice president for Technology Research at IRI, a 30 year old Chicago-based company that provides information, analytics, business intelligence and domain expertise for the world’s leading CPG, retail and healthcare companies. “I’ve always had a love of mathematics and proved to be a natural when it came to computer science,” Mason says. “So I combined both disciplines and it has been my interest ever since. I joined Read more…
Experian is no stranger to Big Data. The company can trace its origins back to 1803 when a group of London merchants began swapping information on customers who had failed to meet their debts. Fast forward 211 years. The rapid growth of the credit reference industry and the market for credit risk management services set the stage for the reliance on increasing amounts of consumer and business data that has culminated in an explosion of Big Data. Data that is Read more…
Splunk has enjoyed the first-mover advantage when it comes to analyzing machine-generated data for fun and profit. But as the Internet of Things begins to take off and the machine-generated data seriously begins to fly, the developer of proprietary software is finding increased competition from the open source realm, namely from Elasticsearch, which just snatched away a Splunk VP.
The promise of big data is morphing into the fast data opportunity. Unless you have the capability to respond to the Internet of Things and the trillions of data points generated by smartphones, sensors, and social media, the business opportunities of fast data can pass you by.
You’ve probably heard about some of the common uses for big data technologies–how phone companies reduce customer “churn” with Hadoop, how spy agencies find terrorists with pattern recognition, and how biologists speed drug discovery with graph databases. But the power of data analytic technologies goes far beyond these established use cases, and can be used in genealogy, law, and even pop music.
News In Brief
Not long ago, the rules for what constituted a data warehouse were fairly well defined. The schema was fixed, you could say, and was based primarily on relational database technology designed to process structured data. My, how times have changed. Last week, Gartner for the first time accepted non-relational technologies–including those based on Hadoop and NoSQL–in its annual Magic Quadrant for Data Warehouses report.
The US Patent and Trademark Office recently granted Zettaset a patent for the underlying technology in its Hadoop high availability that prevents a “split-brain” situation where multiple master nodes think they’re in control of the Hadoop cluster. It’s a feather in the cap for Zettaset, which has also innovated in the area of Hadoop security.
Among Hadoop distributors, MapR Technologies’ product offering is the strongest, Amazon Web Services has the biggest Hadoop market presence, and IBM and Pivotal Software have the best market strategy, according to a new Forrester Wave report released yesterday that slices and dices the Hadoop market and analyzes the various Hadoop product offerings and business strategies.
MapR Technologies today unveiled new products based on the Hadoop version 2 codebase that it says will allow customers to continue to run MapReduce version 1 applications while also reaping the rewards of a post-YARN Hadoop world. The company also announced the capability to run the HP Vertica columnar analytic database directly on its Hadoop stack.
If Hadoop represents the engine of computing’s future and big data its fuel, then the algorithms that crunch the data represent the brains that control where the big data vehicle goes. 0xdata, a startup that develops algorithms for big data analytics, got a big boost this week when four major Hadoop vendors gave their blessing to run its flagship offering, called H20, on their distros.
This Just In
MapR Technologies, Inc., provider of the top-ranked distribution for Apache Hadoop, announced it will present sessions in May about Hadoop, data warehouse design, machine learning and big data initiatives at events such as Data Summit, Informatica World, Cisco Live!, Chief Data Officer Summit, LA Machine Learning Meetup and Boulder/Denver Big Data Meetup.
MapR Technologies, Inc., provider of the top-ranked distribution for Apache Hadoop, today announced a strategic partnership with Databricks and the addition of the complete Apache Spark technology stack to the MapR Distribution. The Spark in-memory processing framework provides speed, programming ease and real-time processing advantages.
MapR Technologies, Inc., provider of the top-ranked distribution for Apache Hadoop, today announced that WE-Ankor, a highly regarded IT specialist based in Petach Tikva, has become a registered partner in Israel, which has a high potential and very promising market for big data and has started its first proof of concept project using the MapR Distribution for Hadoop.
MapR Technologies, Inc., the top-ranked distribution for Apache Hadoop, and Elasticsearch Inc., the popular open source search and analytics solution, today announced the integration of Elasticsearch’s real-time search and analytics capability with the MapR Distribution for Apache Hadoop, enabling customers to search and store tremendous amounts of information in real time.
MapR Technologies, Inc., the top-ranked distribution for Apache Hadoop, today announced it will present sessions about Big Data, HBase and Hadoop at upcoming events in April including: Big Data TechCon, Gartner Business Intelligence & Analytics Summit, and Apache Con.