For several years now, much of the hype surrounding big data has been connected with Hadoop. Companies have simply seen Hadoop as intertwined with the big data movement; where one goes, the other follows, and as a result, the future was bright for Hadoop and the vendors who offered it.
Israeli SQL-on-Hadoop solution-provider JethroData, announced today that it has closed an $8.1 million Series B financing round led by Square Peg Capital, and including existing investor Pitango Venture Capital. This latest funding round will be used to increase investment in sales, marketing and development of JethroData’s technology. JethroData received $4.3 million in
Fans and supporters of Hadoop have no reason to fear; Hadoop isn’t going away anytime soon. There’s been a great deal of consternation about the future of Hadoop, most of it stemming from the growing popularity of Apache Spark. Some big data experts have even gone so far as to
Over the past few years, DataTorrent have made a real name for themselves in the big data analytics space with their propietary real-time streaming (RTS) on Hadoop technology. Today, they announce an extra $15 million funding to smooth out the wrinkles in the big data pipeline. This latest cash injection
Hadoop Summit, the leading conference for the Apache Hadoop community, is coming to Europe. This two-day event will feature many of the Apache Hadoop thought leaders who will showcase successful Hadoop use cases, share development and administration tips and tricks, and educate organizations about how best to leverage Apache Hadoop
To get value out of today’s big and fast data, organizations must evolve beyond traditional analytic cycles that are heavy with data transformation and schema management. The Hadoop revolution is about merging business analytics and production operations to create the ‘as-it-happens’ business. It’s not a matter of running a few
Research and Markets recently published their report on the Global HDaaS (Hadoop-as-a-Service) Market 2015-2019. They market, they believe will continue to grow at a CAGR of 84.81 percent over the period 2015-2019. Although many have been quick to claim the death of “big data” and the demise of Hadoop, adoption continues to
Understanding Big Data: Stream Analytics and YARN Real-time stream processing is growing in importance, as businesses need to be able to react faster to events as they that occur. Data that is valuable now may be worthless a few hours later. Use cases include sentiment analysis, monitoring and anomaly detection.
IT companies and business heavyweights are joining forces in a shared industry effort focused on promoting and advancing the state of Apache Hadoop and Big Data technologies for the enterprise. Introducing the Open Data Platform Initiative (ODP) which will in essence, help enterprises enhance business value globally with Hadoop. Founding
A multi-coloured squirrel may not seem like the most obvious choice of logo for a data processing technology; then again, the team behind Apache Flink have hardly done things by the book. What start out as a University research project evolved into a fully-fledged company, complete with artfully-decapitalised name (data