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Hadoop News & Analysis

Cloudera + Microsoft's Snuggle in the Cloud Causes Confusion

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Anyone that Hortonworks gets into bed with, Cloudera snuggles up to next.

This, of course, is not a proven theorem. But it sure seems to be the case lately.

Earlier this month Hadoop enterprise data hub provider Cloudera announced a deeper integration with long time Hortonworks partner Teradata. Hortonworks’ 100 percent open source Hadoop distribution (HDP) powers many of Teradata’s big data offerings, including the Teradata Appliance for Hadoop.

Yesterday, at a Microsoft press event, Mike Olson, Cloudera’s Chief Strategy Officer, shared the stage with Microsoft CEO Satya Nadella and corporate vice president Scott Guthrie to announce his company’s intention to become Microsoft Azure Certified.

Faking Big Data #strataconf

Sorry folks, but this shouldn’t come as too big of a surprise. Anytime a new technology or field emerges, so does a group of posers. They’re typically software vendors, consulting firms and “experts” who claim to be able to help you cross the chasm between where you are and where you need to go to remain viable in the future.

These aren’t, for the most part, evil companies, snake oil salesman or under educated individuals. Vendors iterate products as quickly as they can and push them out too early, they take shortcuts and rationalize them and sometimes they simply don’t know that they don’t know what they’re doing.

Big data is still an emerging field.

Microsoft's Big Data Steps Boost Customer Insights #Strataconf

Microsoft hasn’t been shy about its goals for the data-driven age. It plans to bring business intelligence to a billion screens and to remove the barriers that are preventing broad adoption of advanced analytics.

These are lofty ambitions, perhaps, but there is no company on the planet that’s in a better position to deliver on them.

Put aside, for a moment, that Excel is a default tool for data crowd, that Office 365 is a next logical step for workers, and that so many enterprises inherently trust the Azure Cloud. The company is also rolling out big data solutions that are, at once, as powerful and compelling as those that scrappy start-ups are delivering today.

Cloudera + Teradata = Big Data Love?

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Hadoop may make many promises, but Teradata delivers solutions that enterprises trust.

We’re not saying this to ruffle any feathers because it isn’t an either or game. Every now and then we see headlines that say things like “Cloudera Declares End Of Data Warehousing Era” or see pictures of tombstones with RDBMS written on them, but the reality is that a good many of Teradata’s  users ignore  them or figure that Teradata will deliver big data capabilities, in a palatable doses, when the time is right.

And that’s essentially what Teradata and Hadoop pioneer Cloudera are banging the drums about this morning as they announce an expanded partnership around technology integration, sales and support. In other words, the two companies will work together to integrate Teradata’s integrated data warehouse and Cloudera’s enterprise data hub so that customers can work with multiple data sources (Cloudera’s Enterprise Data Hub being one of them) through the Teradata Unified Data Architecture (TDA).

This means that not only will Teradata customers be able to “buy” Cloudera’s products and services from Teradata, but that they’ll be tuned to work together and mutually supported.

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.

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