Data-warehouse providers are quickly adding Hadoop distributions, or even their own versions of Hadoop, into their architecture, adding further cost advantages to collections of extremely large data sets. Finding the talent to manage this newly converged environment will not be easy, but it presents tremendous opportunity for companies willing to take some risk. Read more at GigaOM Pro »
Cloud computing is finally starting to add value to business, as those in charge of cloud within enterprises are moving from talking to doing. That much was very evident in the first quarter of 2013. Read more at GigaOM Pro »
Cloud computing’s increased performance cannot be sustained if the corresponding cost to the service provider (SP) for delivering this performance also increases. What service providers need is a way of delivering low latency, fast response, and increasing performance while minimizing the cost of the network. Read more at GigaOM Pro »
Big data company RainStor has raised $12 million is Series C funding for its database that’s designed to shrink data footprints by at least 95 percent. It also plays nice with Hadoop, meaning a system can handle ad hoc SQL queries as well as MapReduce jobs. Read more »
Building a robotic bee that acts like a real bee is a lot more complicated than programming a robot to fly around from flower to flower. A project called Green Brain aims to build an artificial intelligence system that can actually mimic a bee’s brain. Read more »
Getting to next generation systems in high performance computing has inspired technologies that we now use everyday in data centers, but as the drive for exascale computing continues, it seems ingenuity is coming to an end. But is power consumption the real hurdle for bigger systems? Read more »
The face of high-performance computing is changing. That means new technologies and new names, but also familiar names in new places. Anyone that doesn’t have a cloud computing story to tell, possibly a big data one too, might starting looking really old really quickly. Read more »
Concurrent, the company providing the Cascading data workflow API, has raised a $900,000 seed round to capitalize on the newfound excitement around Hadoop. Cascading is an open-source API for creating and running data workflows atop Hadoop clusters. Read more »
Do you sleep? Have a laptop or desktop that sits idle during those eight hours? Need an extra $10 a month? If so, startup CPUsage has a proposition that you should hear. Read more »
LexisNexis is releasing a set of open-source, data-processing tools it says outperforms Hadoop and even handles workloads that Hadoop presently cannot. There have been calls for a legitimate alternative to Hadoop, and this certainly looks like one. Read more »
Online dating service eHarmony is using SeaMicro’s specialized Intel Atom-powered servers as the foundation of its Hadoop infrastructure, demonstrating that big data applications such as Hadoop might be a killer app for low-powered micro servers. Read more »
Is Hadoop our only hope for solving big data challenges? From scalability to fault tolerance, Hadoop does myriad things very well. Yet, Hadoop is not the solution to all big data problems and use cases. Several key issues remain, including investment, complexity and batch-only processing. Read more »
Nutanix startup that sells an appliance combining computing and storage on the same nodes, has raised $13.2 million. The company is developing an appliance combining computing and storage on the same server nodes, a story that should resonate with customers concerned with scalability and performance. Read more »
Few would argue that Hadoop doesn’t have a bright future as a foundational element of big data stacks, but Piccolo, a new project out of New York University, is moving data in-memory in an attempt to improve parallel-processing performance beyond what Hadoop and/or MapReduce can do. Read more »
On Friday, Microsoft’s HPC division opened up the company’s Dryad parallel-processing technologies as a Community Technology Preview (CTP). Dryad could be a rousing success, in part because Hadoop — which is written in Java — is not ideally suited to run atop Windows or support .NET applications. Read more »
