Archives mensuelles : février 2014

Granular: Bringing farms into the modern software world

Gigaom

Imagine operating a sprawling 50-square-mile farm, 30 roaming employees and a hectic and fluctuating growing season using Excel, Quickbooks and two-way radios. That’s how many of the top 30,000 to 40,000 farms, which operate a third of the farm land in the U.S., are still running. But San Francisco-based startup Granular, which emerged on Thursday, has started trialling its new software for farmers that offers the types of modern smart phone apps, cloud-based services and collaboration tools that many other industries have come to rely on as the backbone of their operations.

Granular launched out of the split of another startup, Solum, which was founded in 2009 with early backing from Khosla Ventures and had built up a business around onsite soil analysis. Farms have been using Solum’s data tech to test soil onsite and tightly manage and customize their fertilizer use. But as a young startup in the…

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MapR now supports YARN, puts HP Vertica on top of Hadoop

Gigaom

MapR is stepping up the feature set of its Hadoop software, announcing on Tuesday the addition of support for the YARN resource manager and the ability to run HP’s Vertica analytics software directly atop the MapR file system. The latter feature, in particular, is emblematic of MapR’s approach to keeping up with — or even passing in some areas — Hadoop mindshare (and presumably marketshare) leaders Cloudera and Hortonworks.

The addition of YARN support is important, but also something MapR had to do eventually. YARN is the resource management technology that became part of Apache Hadoop with its 2.0 release in 2012 (and which was just granted general availability status in 2013). YARN lets multiple computing frameworks run on the same Hadoop cluster using the same underlying storage. So, for example, a company could process data using MapReduce, a graph processing engine, Spark and MapR’s Drill SQL-on-Hadoop technology

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Gigaom Research webinar: the business case for Hadoop

Gigaom

As Hadoop moves from the early-adopter phase into the mainstream, IT organizations across all industries are asking how to make the business case for Hadoop at their company. For all of its benefits, namely it is a radically cheaper alternative for storing and processing large amounts of structured and unstructured data, and it can be an uncomfortable fit in a traditional IT environment. With that in mind, it’s important to put Hadoop to work on the tasks it was designed for, to ensure its success in your organization.

In this webinar, our panel will discuss these topics:

  • What evidence is there that Hadoop is now mainstream?
  • What use cases is Hadoop most suited to?
  • What are the challenges and best practices for implementing Hadoop in an ETL offload environment?
  • What are some methodologies and tools for success?

Speakers include:

  • David Loshin, principal consultant, corporate analyst and…

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Nutanix co-founder launches ThoughtSpot, an appliance for analytics

Gigaom

Ajeet Singh is sticking with what worked for him at Nutanix — the fast-growing enterprise compute-plus-storage company he co-founded in 2009 — with a new business intelligence startup called ThoughtSpot. It’s in-memory analytics software designed for ease of use, but delivered on as an appliance, theoretically to save customers the need to buy their own servers or install anything on them.

ThoughtSpot wants to be the « last mile » for business data, Singh explained in a recent interview, and the company believes the appliance model, the popularity of which seems to ebb and flow every few years, is the way to go. The ThoughtSpot Data Search Appliance is comprised of just off-the-shelf gear — there are no specialty components you might find in an Oracle or Teradata appliance, for example, and ThoughtSpot doesn’t have a hardware engineer on staff — but the company did consider the popularity of those larger…

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