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Hadoop News & Analysis

Ellison Does His Own Demos, Loves His New Job #OOW14

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It was classic Larry Ellison on stage, part brilliant computer scientist, part hammy comedian, always entertaining.

Oracle OpenWorld, his company's mammoth annual convention that virtually shuts down the heart of San Francisco's SoMa district, will continue through tomorrow.

But Ellison's keynote presentation yesterday pretty much solidified the intended message for the capacity crowd: Oracle, which trailed its rivals to the cloud, now wants to be king of the cumulous.

Pivotal Revs Its Big Data Play, But There's a Better Story

2014-23-September-Chunyun.jpgWe’ve all heard an earful about the emergence of computing’s third platform, built for a world in which big data, mobile, social, analytics and cloud change the way we live and work. And while, for many of us, the actual impact thus far has been around shopping, dating, getting movie or music suggestions, there are real world examples that are absolute game-changers for large segments of the population.

And Pivotal’s big data platform and Pivotal GemFire, in particular, is powering some of them.

Pivotal GemFire, for anyone who needs a refresher, is a distributed in-memory data management solution for enterprises creating high-scale custom applications.
 

Does Cloudera Need to Cool It?

2014-22-September-Elephant-Fight.jpgA staple gun or roll of masking tape might come in handy today when Amr Awadallah walks in through his company’s doors. The CTO and co-founder of Hadoop platform provider Cloudera mouthed off about the competition to the European press late last week inspiring tweets like “Elephant fight!” The elephant reference, for anyone who may not know, refers to the symbol used for Apache Open Source Hadoop.

Are Hortonworks + Hive Community Paving Hadoop's Future?

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Marry a big vision and a vibrant open source community and you’ll get something pretty special. In this case we’re talking about delivery on the Stinger initiative, which teamed engineers from Hadoop distro provider Hortonworks with more than 140 developers to advance interactive SQL querying ability on Apache Hive at scale in pure open source.

The initiative, which was completed in April, brought together over 390,000 lines of code contributed by developers from 44 companies, to provide business analysts and data workers with one powerful engine for SQL queries on big data sets at speed and at petabyte scale.

It does something that other big data solutions like it do not do: it gives users a single, simple tool to use for either interactive or batch processing.

Get Ready for the Datapocalypse

2014-28-August-Maskatron.jpgToday’s data is bigger, stronger and faster. The increasing complexity of data is pushing organizations toward a tipping point -- those that harness its value will excel, those that don’t will fall behind.

But becoming a data-driven organization is no longer just a smart way to build a competitive advantage -- it's a necessity to survive the pending Datapocalypse. As everything from fridges and thermostats to cars and factories produce more and more data, organizations need to be able to quickly analyze and act on it or risk catastrophic damage.

Big Data Bits: Big Data Smarts

Yesterday Salesforce completed its acquisition of RelateIQ, a startup that combines CRM and data science to get the right messages to the right person at the right time. The sales price was $392,133,512 -- not bad for a company that was founded three years ago.

While much was reported when the sale was first announced, little has been said as to what happens next, other than Salesforce gaining improved big data, data science and analytic capabilities.

Yesterday VentureBeat wrote, without identifying its source, that Salesforce would create an R&D division, Salesforce X, where RelateIQ’s data scientists would work.

Not a bad idea considering that RelateIQ’s Chief Technology officer, DJ Patil, was named one of the 7 most powerful data scientists in the world by Forbes magazine, and is credited (along with Jeff Hammerbacher) to have coined the term “data scientist”.

Patil’s team members aren’t slackers either. Rusian Belkin, Twitter’s former VP Engineering, Search and Content, leads Engineering at RealateIQ. And then there’s Daniel Francisco, Relate IQ’s Manager of Product, he was Chief of Staff and Product Manager at Linkedin.

Even if the Salesforce X rumor is wrong, it’s a good idea. So how about it, Mr. Benioff? You have one of the best data teams in the world working for you and chances are good that they’re more into doing interesting work than money. The latter of which they probably have plenty of because all of the successful startups they’ve worked at.

Adatao's Big Dreams for Big Data

Big Data, 2014-12-August-Soap-Bubble.jpgIf I had a dollar for every time I’ve written about a company that promises to deliver “big data for all” or “big data no data scientist required” or some variation thereof, I’d be rich.

OK, maybe not rich, but I could foot the bill for a pretty nice dinner.

Big promises and big ambitions aren’t a bad thing. After all, if technology vendors are hard at work trying to make data driven insights accessible to more people, then maybe everyone from medical researchers to retailers to school teachers will be able to leverage big data to make the world a better place, right?

Big Data is Here: How About Actionable Insights? [Infographic]

By now everyone from your kid’s baseball coach to the Avon lady representative can give you an earful about how (big) data and analytics lead to better decisions. But if that’s the case, why are so many of us seeing so many lousy offers?

A few years ago we might have been able to argue that retailers, and other marketers, thought that big data was just a bunch of hype that didn’t actually lead to better returns. But we’ve come a long way since then.

Big Data Bits: Big Data Empowered

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The analysts say that big data is maturing, that we’re no longer in an investigative mode and that instead we’re getting busy. Big vendors are buying start-ups to extend capabilities to their customers, we’re starting to run Hadoop on the Cloud, we’re using new databases to power activities we wouldn’t have dreamed of in the past, and so on. Want to know more? Read on … 

It's Not Just the Money, Honey: HP and Hortonworks' $50M Marriage

2014-25-July-Just-Married.jpgHortonworks announced yesterday that it has won a $50 million investment from HP.

But it wasn’t billed that way by either company. Instead the press release read “HP and Hortonworks Deepen Relationship focused on Enterprise Hadoop.”

The reason it was framed that way is pretty simple: HP needs a powerful data engine for HAVEn, its “open” big data architecture that incorporates Hadoop, Autonomy, Vertica, Enterprise security and a number of apps that can be built on the platform. As part of the relationship, Vertica will soon be certified by Hortonworks as YARN-ready. YARN is a key component of Apache Hadoop 2.

Hortonworks, for its part, wants to spread and wed its flavor of completely Open Source Hadoop as widely and as deeply as possible, and being closely integrated into HP’s popular analytics stack, as well as some of its other offerings, is a good way to do that.

But that’s not all.

Alpine Data Introduces Data Science with Friends

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Ok, we’re being a little funny with the headline, but, seriously, data science provides more and better insights — faster — when it’s a team sport. And the ability to leverage data-driven intelligence at the speed of business is what it’s all about. Otherwise, all of the data wrangling and clever algorithms are pointless.  After all applying even the most brilliant insights at the wrong time is, at best, a waste of resources. Worse yet, it can be harmful.

The crew at Alpine Data Labs gets this. That’s why they’ve spent the last three years building advanced analytics software that makes it easier for data science teams, business analysts and others to work together and with the right tools.

Today the company is unveiling Alpine Chorus 4.0, its enterprise platform for advanced analytics.  Not only does it make collaboration easier, but it also enables universal data discovery and search, bi-directional integration between Hadoop and all major data platforms, as well as compatibility with Spark and Cloudera 5.

Predictions Gone Awry: 4 Unexpected Impacts of Big Data

2014-11-July-OTB.jpgAt the start of any significant IT hype cycle, predictions abound. No matter what the trend, a seemingly endless array of vendors, experts and analysts alike line up to place their bets as to how this new movement will forever change the IT and business landscape.

Big data was no exception.

As an explosion of immense new unstructured datasets gave root to the big data hype cycle that now dominates so much of the ongoing IT conversation, scores of experts chimed in with opinions on the many ways in which this new megatrend would change the way companies do business.

Will MapR Be the First Hadoop Vendor to IPO?

2014-30-June-Wall-Street-Bull.jpgGoogle Capital doesn’t invest in that many companies, in fact, before today there were only six.

And when do they invest, they’re hardly silent partners.

“We have the capability to use our money, our time, our effort, our expertise, our brain power, and the Google brand to help build great companies,” said David Drummond, chairman of Google Capital. Drummond is also Google’s senior vice president, Corporate Development and Chief Legal Officer.

While that statement doesn’t tell us much about how quickly Google Capital expects to realize a return on its investments, the particular partner they assign to a startup may be telling.

This morning Gene Frantz, a general partner at Google Ventures, who specializes in late stage startups, takes a seat on MapR’s board.

MapR, for anyone who doesn’t already know, is a San Jose, Calif.-based enterprise software company that develops and sells Apache Hadoop-derived software.

Hadoop's Holy Moment #hadoopsummit

Thumbnail image for 2014-5-June-hadoop's-holy-moment.jpg.jpgLook, I’ll be the first to admit that the so-called “Hadoop Wars” can be kind of interesting. Who isn’t going to click on a link that says something like “The Hadoop Wars: Cloudera and Hortonworks' Death Match.”

Or read beyond this first sentence:

“Another day, another set of choice words hurled at one Hadoop vendor by another. This time, it’s Hortonworks doing the hurling, claiming that Cloudera’s business model isn’t designed for today’s big data market.”

But sometimes, when we get so busy consuming this kind of content, we fail to remember the other story -- how Hadoop came to be and why, as a technology, it’s been able to evolve so quickly and become one of the major catalysts ushering in computing’s third age.

Oh My Hadoop! Cloudera Buys Big Data Encryption Specialist Gazzang

Critics who scream that Hadoop platforms lack security can now begin to calm down. Last month Hortonworks bought XA Secure, a data company that provides a comprehensive security suite for Apache Hadoop.

This morning Cloudera announced that it has acquired big data security expert Gazzang to “dramatically” strengthen its security offerings, which already includes Apache Sentry.

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