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Cloudera Co-Founder Mike Olson shares his insights on the present landscape and possible future of big data and the data management industry. In conversation with Ping Li of Accel Partners, Olson also discusses the advantages of building a business on top of open source technologies and the many surprising benefits of competition.

Mike Olson, Ping Li - Opportunities Abound in the Big Data Space

Social Science, Small worlds and Big Data

Dr. Mark Gerstein of Yale University speaks to CHI on January 16, 2015. Dr. Gerstein will be a speaker during the Clinical Genomics track at Bio-IT World Conference & Expo, April 21-23, 2015 in Boston, MA.
 
Topics include evolving data science applications to genomics, the utility of networks for biological data analysis and integration, studying non-coding mutations for cancer genomics and personal genomics research, the computational tool FunSeq and more.

http://www.bio-itworldexpo.com/

BioIT World 2015 | Applying Data Science, Bioinformatics and Networks to Cancer Genomics

Even though VMware initially called its Amazon competitor vCloud Hybrid Services, make no mistake, it's the company's public cloud (now renamed vCloud Air.)

And, [company]VMware[/company] really wants workloads that might run ow on [company]Amazon[/company] Web Services to come on over, says Bill Fathers, EVP and GM of cloud services for VMware.  That's a tall order. Face it, AWS has been around as, an old boss would have said "Hector was a pup" The first services launched in 2006, and vCloud Air is, what?? a old toddler of two. Fathers acknowledged vCloud Air doesn't have thousands of customers  but said that wasn't the plan. Instead VMware wants a few hundred of key companies to act as bellwethers.

But Fathers point is that a small percentage of total computing is now running on any public cloud -- he thinks it's now 5 or 10 percent up from the two to three percent he thought it was last June at Structure. Which means that there's a ton of work up for grabs.

And while AWS looks to be the enemy for VMware's cloud, the same is not true for Google -- VMware last week announced plans to offer and support four Google services including BigQuery, on vCloud Air.  This week it brought out its promised Integrated OpenStack. 

Fathers positions both the Google relationship and this week's Partner Exchange announcements. And he's clearly not backing away from a fight with the biggest of big clouds.

Bill Fathers, VMware EVP and GM cloud services

Beyond the VMware universe there was a bit of big data moving and shaking with Cloudera buying Explain.io and its self-service query modeling expertise and Datastax picking up Aurelius, the keeper of the Titan graph database. Could this be a sign of even more M&A to come? That's something we'll hear more about at Structure Data from March 18-19 in New York from the CEOs of Cloudera, Hortonworks and other data powerhouses, so book your tickets now.

Ok, the gratuitous plug is now done, it's time to listen.

VMware wants all those cloud workloads "marooned" in AWS

If you are confused about Hewlett-Packard's cloud plan of action, this week's guest will lay it out for you. Bill Hilf, the SVP of Helion product management, makes his second appearance on the show (does that make him our Alec Baldwin?) to talk about HP's many-clouds-one-management layer strategy.

The lineup? Helion Eucalyptus for private clouds which need Amazon Web Services API compatibility; Helion OpenStack for the rest and HP Cloud Development Platform (aka Cloud Foundry) for platform as a service.  Oh and there's HP Public Cloud which I will let him tell you about himself.

But first Derrick Harris and I are all over IBM's purchase of AlchemyAPI, the cool deep learning startup that does stuff like identifying celebs and wanna-be celebs from their photos. It's a win for [company]IBM [/company]because all that coolness will be sucked into Watson and expand the API set Watson can parlay for more useful work. (I mean, winning Jeopardy is not really a business model, as IBM Watson exec Mike Rhodin himself has pointed out.) 

At first glance it might seem that a system that can tell the difference between Will Ferrell and Chad Smith might be similarly narrow, but after consideration you can see how that fine-grained, self-teaching technology could find broader uses.

AlchemyAPI CEO Elliot Turner and IBM Watson sales chief Stephen Gold shared the stage at Structure Data last year. Who knows what deals might be spawned at this year's event?

Celebrity_ChadSmith_WillFerrell_cropped

Also we're happy to follow the escalating smack talk in the Hadoop arena as Cloudera CEO Tom Reilly this week declared victory over the new Hortonworks-IBM-Pivotal-backed Open Data Platform effort which we're now fondly referring to as the ABC or "Anyone But Cloudera" alliance.

It's a lively show so have a listen and (hopefully) enjoy.

The Hadoop wars, HP cloud(s) and IBM's big win

Hadoop, BigData and Cassandra with Jonathan Ellis

In this episode of the Data Show, I spoke with Tim Kraska, associate professor of computer science at MIT. To take advantage of big data, we need scalable, fast, and efficient data management systems. Database administrators and users often find themselves tasked with building index structures (“indexes” in database parlance), which are needed to speed up data access.

How Machine Learning Will Accelerate Data Management Systems

In this episode of the Data Show, I spoke with Kristian Hammond, chief scientist of Narrative Science and professor of EECS at Northwestern University. He has been at the forefront of helping companies understand the power, limitations, and disruptive potential of AI technologies and tools. In a previous post on machine learning, I listed types of uses cases (a taxonomy) for machine learning that could just as well apply to enterprise applications of AI. But how do you identify good use cases to begin with?

Bringing AI Into the Enterprise

with Nicole Forsgren (@nicolefv), Jez Humble (@jezhumble) and Sonal Chokshi (@smc90)

From the old claim that "IT doesn't matter" and question of whether tech truly drives organizational performance, we've been consumed with figuring out how to measure -- and predict -- the output and outcomes, the performance and productivity of software. It's not useful to talk about what happens in one isolated team or successful company; we need to be able to make it happen at any company -- of any size, industry vertical, or architecture/tech stack. But can we break the false dichotomy of performance vs. speed; is it possible to have it all? 

This episode of the a16z Podcast boldly goes where no man has gone before -- trying to answer those elusive questions -- by drawing on one of the largest, large-scale studies of software and organizational performance out there, as presented in the new book, Accelerate: The Science of Lean Software and DevOps -- Building and Scaling High Performing Technology Organizations by Nicole Forsgren, Jez Humble, and Gene Kim. Forsgren (co-founder and CEO at DevOps Research and Assessment - DORA; PhD in Management Information Systems; formerly at IBM) and Humble (co-founder and CTO at DORA; formerly at 18F; and co-author of The DevOps Handbook, Lean Enterprise, and Continuous Delivery) share the latest findings about what drives performance in companies of all kinds.

But what is DevOps, really? And beyond the definitions and history, where does DevOps fit into the broader history and landscape of other tech movements (such as lean manufacturing, agile development, lean startups, microservices)? Finally, what kinds of companies are truly receptive to change, beyond so-called organizational "maturity" scores? And for pete's sake, can we figure out how to measure software productivity already?? All this and more in this episode!

a16z Podcast: Feedback Loops -- Company Culture, Change, and DevOps

What past situation you were in that you think you could have gone beyond the data?

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/172

The Super Data Science Podcast: Big Data | Analytics Careers | Mentors | Success

SDS 172: Why You Need to Go Beyond the Data

A weekly podcast from GigaOM providing the latest news, analysis and interviews about the cloud, infrastructure and big data spaces. 

The Hadoop wars, HP cloud(s) and IBM's big win

Gigaom Structure