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Mapr News & Analysis

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.

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.

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.

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 … 

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.

What's Cooler Than Beats Music Using MapR? #HadoopSummit

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We all know streaming music is a big thing — people no longer get excited about building playlists or hitting shuffle on their iPods only to hear the same tired tunes over and over again.

Today we want to listen to crowd-sourced, curated music that’s selected specifically for us. And services that can provide that need to process and crunch lots of data (demographic, psychographic, mobile, social …), big data and to then apply predictive analytics to determine what might delight us.

While providers like Spotify and Pandora have been doing that for quite some time, Beats Music recently came out of nowhere and disrupted the scene — so much so that Apple bought it (and Beats Electronics) from Jimmy Iovine and Dr. Dre.

Now we’re not going to tell you that either of those music moguls knows a lot about big data (they could, but we sort of doubt it). But we do know this: Beats Music uses MapR for its big data needs.

Why Hortonworks' Hadoop Pitch May Be Perfect

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Hortonworks business strategy certainly has its naysayers. They claim the venture capital backed company won’t be able to generate the kind of revenues Wall Street investors expect without selling proprietary software that compliments or extends open source Apache Hadoop or any other open source software, for that matter.

This sort of talk falls on deaf ears at Hortonworks.

“Our strategy is to build out (Hadoop and Hortonworks Data Platform aka HDP) in open source so that it resonates and deeply increases value for our partners, our customers and for us,“ said Shaun Connolly, vice president of Corporate Strategy at Hortonworks.

MapR Ups Its Hadoop Game with Databricks' Spark

For now, MapR seems to be sitting on the sidelines of the “My Hadoop distro is better than yours” game, and as Jack Norris, the company’s CMO puts it, “we’re concentrating on doing what’s best for our customers.” (Who wouldn’t say something similar?)

It’s with that in mind that they announced today the addition of the Apache Spark stack to their distribution. Norris says Spark will add speed, programming ease and real time processing abilities to their current offering. 

Big Data Crawls Out of the Trough in 2014 #GigaOmLive

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If you’ve followed the big data hype long enough, you know that every year -- since 2011 -- was supposed to be big data’s big year. And that at the end of every year since, the pundits have said “It didn’t happen this year. Next year will be big data’s big year.” 

Our 2 Cents on Forrester Wave for Big Data Hadoop Solutions

Analyst reports can be a big bore -- the Forrester Wave: Big Data Hadoop Solutions, Q1 2014 ($2495 fee) is not.

Its authors, Mike Gualtieri and Noel Yuhanna, have done a bang-up job writing in simple English and giving a spot-on overview of what the market looks like:“cutthroat,” where “pure-play upstarts (Cloudera, Hortonworks, MapR) must capture market share quickly to make venture investors happy” and in which “stalwart enterprise software vendors (IBM, Pivotal, Teradata) must avoid being disintermediated.” 

OpenText Jumps on Open Data Bandwagon #ODD2014

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OpenText is not in the habit of giving away money. Neither is the Canadian government. However, in recent weeks, each has given $3 million to the newly formed Open Data Institute in Canada.

But open data is not a Canadian initiative, it is a global movement that is creeping into businesses everywhere — and the focus of an International Open Data Day tomorrow.

No Comprendo Hadoop? No Problema [Video]

You can call data scientists plenty of things, including the often overused term from 2012 … sexy. But waiting in line for their services is not. Business users need to make decisions on the spot, or they risk losing their competitive advantage.

Who Leads the Big Data Market? (Probably Not Who You Think)

Go to a big data tech conference, approach any ten people and ask them to name the technology that’s driving the industry. Most of them will say Hadoop.

Ask them to name the vendors who are driving Hadoop’s development, adoption and growth and they’ll say Cloudera, Hortonworks, MapR and they might even throw Pivotal, Intel, Microsoft HDInsight or WANdisco onto the list

Next, ask them which technology vendors are reeling in the bucks while riding the big data wave and they’ll probably name a few of the aforementioned providers. And get this: if they do that, they’ll be wrong.

My Hadoop is Better Than Yours: It's MapR's Turn #strata

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The commercial vendors behind Hadoop don’t actually taunt each other in the press, but they do say things like we’re the only…we don’t do that… they’re doing this…

Of course each of them has to differentiate themselves from the next and show potential customers why their branded commercial Hadoop distribution is not only fast, but also Enterprise-grade, secured and flexible.

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