Cloud Computing, Big Data, Linked Data, Open Data, more
Cloud Computing, Big Data, Linked Data, Open Data, more
Infochimps CEO Jim Kaskade talks about acquisition and the big data opportunity
I first came across Infochimps as they set about building one of the early Data Market offerings. I recorded a couple of podcasts with CTO and co-founder Flip Kromer over the years, in 2009 and 2012, tracking some of the ways in which the company and the market were evolving.
Since then the company has moved in a different direction, focusing far more attention upon the tools and services required to work with data, and far less upon offering a place for customers to find data. Infochimps was acquired by CSC last year, and dropped into the larger company’s big data business unit to accelerate it towards far greater market visibility and penetration.
In this podcast, I talk with Infochimps CEO Jim Kaskade. We quickly cover some of the history, before looking in more detail at the ways in which Infochimps/ CSC can differentiate itself in an increasingly crowded market. A degree of technology agnosticism clearly helps here, and Jim talks about the way in which his team will help customers deploy any Hadoop distribution rather than being tied (as Cloudera or Hortonworks would be) to the home-grown offering. We also discuss recent investment in the space, with Jim noting that — despite Cloudera’s recent $900 million round — CSC still has deeper pockets and a longer reach.
We touch upon Hadoop’s role within the growing big data ecosystem, asking if it’s as important as its backers tend to claim, and discuss the attributes of a successful move from the near-ubiquitous big data pilot project towards the far less common production deployment of a big data solution.
Microsoft Corporate Vice President Quentin Clark discusses data, data platforms, and more
The Data Platform Group at Microsoft does a lot, from SQL Server and their Hadoopey HDInsight offering through to Business Intelligence and analytics capabilities which sit in or on top of the humble Excel spreadsheet. I’ve touched upon pieces of this whole before, in a 2009 podcast on Azure with Amitabh Srivastava (then Corporate VP with responsibility for Azure), a 2012 podcast with Piyush Lumba (Director of Product Management for Azure Data Services), and recent short pieces on PowerBI.
In this latest podcast, I talk with Quentin Clark to get a view on how the various pieces are starting to fit together. Quentin is Corporate VP with responsibility for the Data Platform Group, and our conversation quickly shows that there’s a lot going on there.
In just over half an hour we barely scratch the surface, but some of the opportunities — and some of the challenges — certainly become apparent. Maybe we can revisit some of the specific areas of opportunity in future conversations…
Image, ‘York Station approaches’, from All About Railways by F.S. Hartnell. Now in the public domain, and shared on Wikimedia Commons.
The cloud first SQL Server 2014 coming in April with in-memory and cloud capabilities (devopsangle.com)
Microsoft Brings Hadoop Big Data To Windows Azure (techweekeurope.co.uk)
Teradata Labs President Scott Gnau discusses the evolving data analytics market
With all the noise around newer technologies such as Hadoop, it would be easy to assume that the data analytics space is new — and totally dominated by the NewSQL/ NoSQL tools pouring out of the world’s startups. It would be easy. But it would also be wrong. Data analytics, business intelligence, and related ideas are not new. Companies such as Teradata (and others) have been selling enterprise tools here for 30 years or more, and these companies are proving resilient as the market shifts and evolves around them.
In this podcast I talk with Scott Gnau, President of Teradata Labs. We discuss Teradata’s perspective on the evolving data analytics landscape, and Scott talks about some of the ways in which his company is adapting.
Image from iStock.
Teradata Sharpens Focus on In-database Analytics (datacenterknowledge.com)
“We cannot be out innovated.” Teradata President Discusses Benefits of Partnerships #HadoopSummit (siliconangle.com)
Netflix Picks Teradata Cloud for Analytics (datacenterknowledge.com)
Adaptive Computing CEO Robert Clyde talks about Big Data, and lessons from the world of High Performance Computing
It’s sometimes easy to assume that the large clusters of commodity servers commonly associated with open source big data and NoSQL approaches like Hadoop have made supercomputers and eye-wateringly expensive high performance computing (HPC) installations a thing of the past.
But Adaptive Computing CEO Robert Clyde argues that the world of HPC has evolved, and that the machines in HPC labs now look an awful lot more like regular computers than they used to. They use the same x86-based chipsets, and they run the same (often Linux) operating systems. Furthermore, Clyde argues that techniques and ideas developed in the world’s elite HPC facilities have much to offer those running today’s enterprise data centres and grappling to cope with the new challenges posed by dealing with large volumes of data.
In this podcast, Clyde discusses the lessons that HPC experience can bring to a new generation of big data problems, before going on to outline today’s software releases from Adaptive Computing.
Image of a CRAY-XMP48 supercomputer at the EPFL (Lausanne, Switzerland) shared on Wikimedia Commons under Creative Commons licence. Original image by ‘Rama,’ cleaned by ‘Dake.’
The green supercomputer: Adaptive Computing is ensuring fast doesn’t mean wasteful (venturebeat.com)
Video: How Adaptive Computing helps Power the COSMOS (insidehpc.com)
Infer CEO Vik Singh talks about predictive analytics and lead scoring
As data volumes increase and marketing channels proliferate, corporate sales teams struggle to efficiently identify the real prospects worth an investment of their time.
At Infer, a team experienced in applying predictive analytics to the web-scale problems faced by companies like Google and Yahoo! thinks they have a solution. By combining data from internal customer relationship systems with crawls of the public web, Infer offers its customers insights into the prospects most likely to be about to buy.
Infer CEO Vik Singh joins me for this podcast, to explore the mysterious world of pre-sales and sales, and to illustrate some of the ways in which a data-driven approach can deliver value.
Infer Raises $10 Million; Helps Companies Use Data to Win More Customers (diversity.net.nz)
Software Predicts Which Companies Are an Easy Sell (technologyreview.com)
Infer’s take on big data for lead generation is apparently all the rage (gigaom.com)
A Win for Predictive Analytics : Infer Doubles Customer Bookings Since April (siliconangle.com)
The VP of Sales – Does he Think or Know? (fliptop.com)
MapR CEO John Schroeder discusses the market for Hadoop
Big Data is undeniably hot right now, and to many Hadoop is inextricably linked to the broader Big Data conversation.
And yet, Hadoop has a reputation for being complex, and unpolished, and difficult, and ‘technical,’ and a host of other less-than-glowing attributes which might cause potential users to pause and take stock. Some of that reputation is, perhaps, undeserved, and many of those limitations are actively being addressed within the Apache Foundation‘s open source Hadoop projects.
But there is clearly an opportunity for intermediaries who understand Hadoop, who can make it perform, and who can actively contribute back to those Apache projects. MapR Technologies is one of the better known of those intermediaries (alongside others such as Cloudera, which we also discuss), and the company has done much to encourage adoption and real use of Hadoop beyond the Silicon Valley bubble in which it emerged.
In this podcast I talk with MapR Technologies CEO and co-founder, John Schroeder, to learn a little more about his company’s approach and to gain his insight into the ways in which Big Data technologies such as Hadoop are being deployed at scale to address real business challenges.
Image of the engraving Slag bij Zama tussen Scipio en Hannibal (Battle of Zama between Scipio and Hannibal), created in 1567 and made freely available online by the Rijksmuseum Amsterdam.
If you thought the Hadoop war of words was over, think again (gigaom.com)
MapR Wires Security Into Hadoop #strataconf (cmswire.com)