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October 20, 2016
Escaping silos to pursue scale: The top three big data challenges for telcos
When looking at common problems organisations face around building strategic big data analytics programmes, it’s interesting to look at the challenges and how they differ from industry to industry.
October 12, 2016
Apache Spark grows in popularity as Hadoop-based data lakes fill up
Apache Spark is growing in popularity and finding real-time use across Europe, including in online betting and on railways, and with Hadoop.
October 7, 2016
Big data in banking – Hadoop or not Hadoop?
Five years ago, the big question for banks was simple: To Hadoop, or not? Fast forward to 2016 and the question has changed completely. All banks these days are to some extent invested in Hadoop, but let’s be clear: no one bank has truly crossed the chasm with Hadoop to apply it as a core technology. In banking’s long computer-based history, there are vast architectures and legacy systems to think about, and all Tier 1, 2 and 3 banks still opt for proprietary solutions as a mainstay.
March 28, 2016
New Data Lake Design Patterns Available from Think Big
A number of Data Lake Design Pattern services are available from Think Big including: Data Lake Foundation, for teams just getting started with a data lake or seeking best practices consulting; Data Lake Architecture, designed for organizations that are looking for recommendations for data lake best practices and technology choices; and Data Lake Analytics, which support data preparation for execution of analytics cycles.
March 19, 2016
Don’t Expect Your DBA to Do a Hadoop Expert’s Job
Big data deployments challenge organizations to rethink the role of data across their entire operations landscape. But a funny thing happens when it comes to administering these systems: There is an understandable tendency to map the organizational responsibilities for the care and feeding of big data systems such as Hadoop to existing database administrators (DBAs). After all, these same teams have kept your data assets humming along to this point. Surely they can pick up the running of the new Hadoop cluster, right?
February 26, 2016
What Should Apache Spark Mean to Your Business?
Spark is a powerful technology, but in order to see whether Spark is a good fit, you must first know what Spark is and whether you should use it at all.
February 11, 2016
3 Reasons Why People, Not Robots, Are Key to Data Science
In the future imagined by science fiction, artificial intelligence will reign supreme and take over pretty much everything humans can do. Frankly this sci-fi vision isn’t helpful when it comes to applying technology because it distracts us from thinking about what people do well and what advanced techniques such as deep learning do well.
November 11, 2015
10 Tips for Beginning Your Big Data Journey
If your organization is just starting your big data analytics journey, don’t fret: You’re not alone. Plenty of others are in the same boat. However, catching up to the analytics leaders will take a lot of hard work.
October 19, 2015
6 Keys to Big Data Victory
When I start helping a company unlock the vast potential of big data, I often get a tour of the technology they’ve acquired and data repositories bursting with potential. But frankly, that’s not what I want to see because shiny new technology and boatloads of data are not the keys to success.
October 16, 2015
How the C-Suite Can Create a High-Impact Big Data Culture
Gaining value from big data is all the rage right now – and for more than one reason. Investments in the right tools and applications can spell big payoffs. According to McKinsey, data-driven organizations are 23 times more likely to win new customers, and six times more likely to retain the ones they already have.
September 15, 2015
Is Data Modeling Dead?
Follow the mainstream technology hype machine and one could easily be led to believe that data modeling is dead. The story goes something like, “Thanks to agile technologies like Hadoop and techniques such as schema on read, prescribed data modeling is now replaced by instantaneous execution on demand.” If you were laughing, choking, and wiping the coffee off your screen, then you are clearly someone who has done real work with Hadoop and recognizes that line of thinking as utter nonsense.
July 24, 2015
Exclusive Interview – Ron Bodkin Talks Analytics and Technology Disruption
icrunchdata News talks with key analytics thought leaders in our industry to learn more about their careers in big data, what they are currently working on and also learn about who they are outside of the data. We recently spoke to Ron about the current Hadoop market, his experience in founding tech companies and industry disruption.
June 26, 2015
Think Big places heavy emphasis on strategy and effective planning, ideally resulting in a Big Data Center of Excellence. To achieve this, Think Big has identified common mistakes that organizations make when embarking on a big data project.
June 22, 2015
Open-Source Technology Finally Living Up to its Promise
Open-source platforms have long been magnets for innovation and experimentation. From the early days of Unix through Mozilla, Linux, and the most recent Apache Foundation Hadoop distributions, open source has been the place to be for eclectic and sometimes groundbreaking development.
June 13, 2015
Interview: Doing business in a world where big data is king
ITProPortal recently had the chance to speak with with Rick Farnell, co-founder of data science/Hadoop company Think Big, who gave us the low-down on big data in business. Click the link above to read the full interview.
June 8, 2015
Teradata Bets Big on Presto for Hadoop SQL
Teradata today revealed it’s making a major investment in Presto, the SQL-on-Hadoop framework originally developed at Facebook to power interactive queries against its massive data warehouse.
June 5, 2015
It’s Just Beginning—Hadoop Adoption Poised for Rapid Growth
A recent Gartner survey of 125 executives seems to indicate the Hadoop market is stalling with only 26% of respondents deploying, piloting, or experimenting with Hadoop. The real stunner was that more than half of survey respondents reported they have no current plans for Hadoop investment! Is Hadoop losing momentum, or are we in the middle of the next big push for Hadoop adoption?
April 13, 2015
Teradata’s new Hadoop-based engine finds patterns in data deluge
There is a dizzying array of free and commercial business intelligence components available for Hadoop, but Teradata Corp. thinks that the industry could do with another one. The data warehousing stalwart’s new entry into the space promises to make short work of the multi-structured transmissions coming off the connected universe.
April 13, 2015
Need to plumb Hadoop data lakes? This new tool can help
Think Big on Monday took the wraps off its Dashboard Engine for Hadoop, which aims to make it easier for business users to extract insights from the vast lakes of data stored in Hadoop.
April 13, 2015
Think Big Dashboard Engine Enables BI Reporting for Hadoop
Dashboards and online analytic processing (OLAP) rollup summaries have existed for a long time in the business intelligence market, but, Think Big contends, no one has delivered OLAP summary analysis from multi-structured big data at scale.
April 13, 2015
Think Big Dashboard Engine Powers Fast Access to Hadoop
To bring fast, enterprise reporting capability to Hadoop, Think Big, a Teradata (NYSE: TDC) company, today introduced the Dashboard Engine for Hadoop. With the Dashboard Engine for Hadoop, it is now possible for organizations to quickly access and report on big data in Hadoop-based data lakes to make agile business decisions.
April 13, 2015
Think Big Expands Big Data Consulting Business into Global Markets
To help organizations successfully implement their big data initiatives by leveraging and integrating open source technologies, Think Big, a Teradata (NYSE: TDC) company, announced the immediate expansion of its big data consulting business into Europe with new offices in London, Dublin and Munich.
March 25, 2015
4 Ways to Avoid a Data Swamp
Just because you’ve assembled a massive trove of information and made it searchable doesn’t necessarily mean that you have something that’s going to be useful to anybody. If you don’t know where that information is coming from and whether you can trust it, then it’s useless. The same idea applies to big data analytics.
March 24, 2015
Teradata embraces the ‘Think Big Analytics’ brand
Despite now being owned by the analytics technology titan Teradata, Think Big Analytics retains the appealing evangelism of its startup roots. It has already established a strong, agile development reputation in the small world of big-data projects and continues to grow under the aegis of Teradata.
March 17, 2015
Why data scientists and marketing technologists are the hottest jobs of 2015
If you haven’t heard of these job titles, don’t worry — you will soon. After all, there was a time when “social media manager” was a job title people didn’t take seriously, and now these pros can earn up to six figures.
February 24, 2015
It’s Complicated: Why The Hadoop Skills Gap Will Widen In 2015
Forrester’s Mike Gualtieri recently predicted that the Hadoop skills gap will disappear in 2015. He says that Hadoop programming means learning some Java APIs and running Hadoop is the province of DevOps teams, which are getting better at it. And SQL on Hadoop will fill the remaining gaps.
February 17, 2015
Think Big Data Lake Services to Improve Success with Hadoop® Data Lakes
To enable organizations to get the most value from their data lakes, Think Big, a Teradata (NYSE: TDC) company, today announced the expansion of its consulting services to include Data Lake Optimization. The optimization of Apache™ Hadoop®-based data lakes enable organizations to accelerate the use of big, diverse data to enable smarter business decisions.
February 10, 2015
Career Spotlight: What I Do as a Data Scientist
Sit in any Silicon Valley coffee shop for a while and no doubt you’ll overhear someone talking about data analytics. What is it and who’s crunching those numbers? It’s the job of a data scientist to finding patterns in large amounts of data and connect them to real world decisions.
January 9, 2015
How To Build A Data-Driven Dream Team
“Data-driven” — the simple term for businesses that make decisions based on data — is a popular buzzword these days… and for good reason. Numerous studies show a clear correlation between a company’s propensity to rely on data when making decisions and its profitability, ability to innovate, and worker engagement.
December 30, 2014
4 Things to Expect from Big Data in 2015
A common misconception about Big Data stems from its very name—“big” is not its key point of differentiation. When we think about the challenges surrounding managing and analyzing Big Data, it’s the variety and diversity of the information—not just its size—that present the greatest challenges to traditional data management and processing tools and techniques..
December 22, 2014
Data Informed A Decade On: The Evolution of Hadoop at Age 10
Apache Hadoop turns 10 in 2015. Find out what Ron Bodkin, President of Think Big, predicts for YARN and Spark in the coming year.
November 19, 2014
5 Tips For Building A Great Data Science Team
Fulfilling your company’s dreams of capitalizing on data science is a daunting task. If the business press is to be believed, your next multi-billion dollar commercial success hinges on finding that one person who can divine the hidden opportunity lurking in your data.
November 19, 2014
Why Solving The Last Mile Problem In Data Analytics Will Start A Revolution
To understand the role of open source in data analytics, it is helpful to think back to a concept from telecommunications: the last mile. The last mile is the distance from the distribution points of telecom and cable operators to the house and it was always seen as a bottleneck.
September 25, 2014
Getting Started with Big Data Projects
In this interview, Bodkin who is CEO of Think Big, now a Teradata company, discusses the challenges organizations face in getting big data projects off the ground and what they need to consider when they embark on projects to leverage data from the Internet of Things and social media.
August 12, 2014
3 Best Practices For Big Data Projects
Before Think Big even existed, Facebook approached its founder, Ron Bodkin, to make sense of Hadoop. Now, the big data integrator’s client list includes eBay, EMC, Intel, Johnson & Johnson, NASDAQ, NetApp and Western Digital. Plus, it is aligned with pretty much every big-name analytics and enterprise integration platform you can name, including Cloudera, GreenPlum, HortonWorks, MapR, Pivotal and many others.
August 5, 2014
What makes for a successful big data project?
“It’s not a one-and-done,” Bodkin says. “It’s not like implementing an ERP system where you’re just thankful when you’re done and you don’t have to do anymore work on it. Investing in big data is a journey, and as companies make those investments and start to see results from it, they are motivated to do more.”
July 31, 2014
Think Big coming east to NYC, Boston
The Mountain View, Calif.-based big data services firm announced a new office in the Financial District today, part of an eastern expansion that also includes Boston. Officials say they’re recruiting high-end data science and engineering talent to staff up.
July 17, 2014
Professional services integral to Big Data projects
More than 70 percent of high level executives in 303 companies responding to a recent Wikibon survey indicated that outside professional services are integral to their Big Data projects.
May 15, 2014
Hortonworks Acquisition Boosts Hadoop’s Security Credentials
Hortonworks has acquired XA Secure, a big data security and governance technology startup, in a move Hortonworks said will bring a centralized approach to security for Hadoop systems.
May 8, 2014
Connecticut’s ‘Exchange in a Box’ Stymied by Government IT Culture
Connecticut’s state health exchange is selling hosting and consultancy services to other exchanges, but Byzantine rules are complicating matters.
April 29, 2014
Hadoop Jobs: How One Exec Vets Talent
Ask Think Big CEO Ron Bodkin what he looks for when vetting job candidates, and you might notice his first few answers appear to have little to do with Hadoop and other big data technologies. Rather, they focus on people.
April 22, 2014
Cloudera, Hortonworks Move To Expand Their Partner Ecosystems
Cloudera and Hortonworks, rivals in the fast-growing market for Hadoop-related software and services, are stepping up their channel games by expanding their channel ecosystems and enlisting a growing number of solution provider, ISV and OEM partners.
April 21, 2014
Analytics For Revenue Growth Lags in Big Data Push
Many businesses lack the technological and cultural maturity to use Big Data to drive top-line growth.
April 11, 2014
Think Big’s Bodkin: Big data adoption means breaking silos
Big data adoption presents new challenges to data managers already grappling with multiple data silos. A rash of recent open source Apache Hadoop and NoSQL technology innovations could augur more of the same. Few have a closer view on the phenomenon than Ron Bodkin, co-founder and CEO at Think Big.
March 31, 2014
Big Data Forces IT & Business To Get In Sync
Data that benefits the company will slip through the cracks if IT and business groups don’t bury the hatchet.
January 29, 2014
How to do big data in 2014
Companies wishing to do big data in 2014 should be betting the farm on open source, says Ron Bodkin, co-founder and CEO of Think Big.
December 30, 2013
Big Data In 2014: Top Technologies, Trends
Big data joined the business lexicon in a big way in 2013. Some days it seemed like every press release and technology news item crossing our desk included the phrase. In fact, the wild popularity of the term might have masked important developments — technical, operational, and other — involving big data and its associated technologies.
December 23, 2013
2014 Technology Predictions Series: Think Big on Big Data
As 2013 winds down, it’s only natural for people to make personal New Year’s resolutions for 2014. It’s also a perfect time for technology industry predictions. This is the fifth installation in our multi-part “Technology Predictions for 2014″ series in which industry providers—from Big Data to cloud to mobile—share their predictions about the hot tech trends that will take center stage in 2014.
December 9, 2013
Hadoop cluster implementations take IT teams into uncharted waters
Hadoop initially was the province of the large Internet companies that created it, and the likes of eBay, Facebook, LinkedIn, Twitter and Yahoo remain marquee users of the open source distributed processing technology. A growing variety of organizations are also now looking to take advantage of Hadoop and big data technologies — for example, NASA, retailer Kohl’s, agricultural and chemical products maker Monsanto and automobile pricing data provider Edmunds.com.
October 30, 2013
Amazon Wins $600 Million CIA Cloud Deal As IBM Withdraws Protest
After spending the last eight months trying to block Amazon (NSDQ:AMZN)’s 10-year, $600 million cloud computing contract with the Central Intelligence Agency, IBM (NYSE:IBM) has decided to give up the fight, Federal Computer Week reported Wednesday.
September 26, 2013
Big Data solutions for SMBs
As the world becomes more digital, every text, email, Web page browsed, location app updated, Facebook Like, Google search, and financial transaction creates data. Collectively, the tools used to mine enormous amounts of data for nuggets of information are called Big Data. But the “big” part of the name doesn’t tell the entire story.
September 24, 2013
Right Start: Big Data Projects
Big Data has exploded onto the scene as a tremendous opportunity for companies across most major industries to gain a competitive advantage. But Big Data is not a small project that should be taken lightly. It represents a business imperative requiring active participation by business leaders, technical leaders, and their teams.
September 23, 2013
Why Recommendation Engines Are About To Get Much Better
Amazon.com certainly deserves credit for bringing the term “recommendation engine” into the general lexicon. But recommendation engines have expanded well beyond consumer-facing shopping sites like Amazon as programmatic ways of making accurate recommendations.
September 19, 2013
3 Roadblocks To Big Data ROI
Most organizations that implement big data platforms expect to derive significant value from their investment. But nearly half of these firms aren’t achieving the level of value or return on investment (ROI) that they had expected. According to a new study by Wikibon, an open-source research firm that competes with Gartner and Forrester, the ROI of these big-data projects is proving to be a big letdown for most enterprises.
September 18, 2013
Revealed: Actual ROI on big data investments today
As of this writing, the new Wikibon report wasn’t released yet but analyst Jeff Kelly gave me a sneak peak and his take on the results ahead of time. One thing in particular caught my attention. “Almost half, 46 percent, of companies are currently only seeing about 55 cents return on every dollar in big data investments,” said Kelly. “But they should see around $3 to $4 on every dollar spent in the next three to five years.”
September 14, 2013
The big data Wild West: The good, the bad and the ugly
Ron Bodkin of Think Big discusses the best and worst practices for adopting big data technologies and actually getting results. Companies must beware of dangerous decisions, charlatans and disastrous missteps.
September 9, 2013
Big Data Opens New Doors For Financial Analysts
Big data is changing how lot of businesses operate, especially in the healthcare, industrial, and retail sectors, to name just a few. Finance is another area where big data is making its mark, as emerging technologies such as Hadoop, NoSQL and Storm allow investment gurus to analyze non-traditional data sets that previously weren’t accessible.
August 22, 2013
Big data is a bubble? Don’t tell that to these guys
It’s natural to hear all the hype about big data and sense a bubble is forming, but the speakers at this year’s Structure: Europe conference have proven it’s for real — and they know how to make it happen.
July 24, 2013
10 Big Data Trends Changing the Face of Business
Big data is slowly but surely changing the way companies do business. “There are different use cases in every industry,” says Ron Bodkin, CEO and founder of big data consulting firm Think Big. “Big data is unlocking an ability to work with data that has been stressed for a long time. There’s been a lot of pent-up demand.”
July 22, 2013
Big Data ROI Will Take Time, Clear Goals and Talent
The big data market is expected to grow more than 30 percent annually until the end of the decade. But more than half of big data projects fail–and those that do succeed can fall apart if findings aren’t applied to operational efficiencies.
July 9, 2013
Ron Bodkin interviewed at Hadoop Summit 2013
Apache Hadoop thought leaders showcase successful Hadoop use cases, share development and administration tips and tricks, and educate organizations about how best to leverage Apache Hadoop as a key component in their enterprise data architecture.
July 9, 2013
Enterprise Approach to Big Data: Interview with Think Big CEO Ron Bodkin
The open source movement has sped up the development of new computer languages, including the scalable, inexpensive, Hadoop, OpenStack and its Grizzly platform, and the explosion of mobile apps development, which paved the way for market leaders in iOS and Android, but might give the edge to Android in years to come.
July 8, 2013
The 10 Coolest Big Data Startups Of 2013 (So Far)
Perhaps, surprisingly, one of the most buzzed-about big data startups in 2013 is a solution provider. Think Big is now recognized as one of the earliest big data-focused solution providers to emerge in the channel, boasting extensive experience in both Apache Hadoop and the field of data science.
July 3, 2013
Big Data Analysis Drives Revolution In Travel
Airlines, hotels and reservation sites are making the most of data to improve booking ratios, boost revenue yield and improve customer satisfaction. “We’re seeing tangible, pragmatic business benefits using big data, whether it’s to increase the look-to-book ratio, decrease the cost of operations, boost revenue yields or increase customer satisfaction,” says Herve Couturier, executive VP at reservation services giant Amadeus.
July 2, 2013
Think Big: Data Is A Differentiator
CEO Ron Bodkin of Think Big discusses what’s driving big data solutions today and how big data can benefit many different companies.
July 1, 2013
The Morning Download: Energy Companies Face More Cyberattacks
U.S. energy companies are being subjected to a huge increase in attempted cyberattacks, according to a new report from the Department of Homeland Security. There were 111 cyber incidents reported by the energy sector during the six months ending in May 2013, compared to about 81 incidents in the preceding 12 months.
June 28, 2013
Hadoop Comes of Age for Business
Apache Hadoop, the open source analytic framework, is like a cult band that finds sudden fame after being on the soundtrack of a Quentin Tarantino movie. Most organizations have been experimenting with it in the dark corners of their data centers, and those using it on live production data are usually cagey about specifics.
June 28, 2013
Businesses Miss Steps in Big Data Transition
Customers can’t expect big changes from Big Data unless they change internal processes to reflect the differences between traditional business intelligence software and the new analytics.
June 19, 2013
Big Data Ron Bodkin & Equity Eddy Perez
Ron Bodkin is driving the premier company that is specially designed for Big Data. His company provides services such as data mining, processing, and hoc analysis on a large scale. If right now you’re wondering whether or not Big Data might be useful, consider that among his clientele are giants like Facebook and Nasdaq!
June 4, 2013
7 signs that your Business Intelligence (BI) needs an overhaul
Many companies are stuck using BI tools and practices that are in desperate need of replacement. These outdated BI tools/practices waste precious time, harm decision-making, and keep these companies from truly taking advantage of their data.
May 2, 2013
Thought Leaders in Big Data: Interview with Ron Bodkin, CEO of Think Big
Ron Bodkin is the chief executive officer of Think Big, a services firm that helps organizations implement big data applications and create value for big data. He founded several successful companies, one of which he led to a staff of 900 service consultants.
April 30, 2013
Think Big Announces Chuck Palmer Hired as Vice President of Sales
A veteran sales executive with a proven history of success in services, Palmer will oversee and develop Think Big’s rapidly growing sales team, leveraging his two decades of technology sales experience.
April 30, 2013
Park City’s High Tech Connection
Rick Farnell’s ‘Think Big’ gives life to big data. Co-Founder and president of Think Big, Farnell oversees operations and development of one of the high-tech industry’s fastest growing companies in the explosive sector known as ‘Big Data.’
April 30, 2013
Chuck Palmer | People on the Move
Think Big, a provider of data science and engineering services for “big data” and “big analytics” projects, has added Chuck Palmer as vice president of sales. Prior to joining Think Big, Palmer spent the last decade at GlassHouse Technologies, where he was most recently the area vice president of sales overseeing the eastern half of the U.S. and Canada.
April 30, 2013
Think Big Announces Chuck Palmer Hired As Vice President of Sales
A veteran sales executive with a proven history of success in services, Palmer will oversee and develop Think Big’s rapidly growing sales team, leveraging his two decades of technology sales experience. “Think Big presents an amazing opportunity to join a rapidly growing company that is working with some of the largest and most innovative companies in the world,” said Chuck Palmer.
April 22, 2013
A Big Data Partner Revolution: Maritz On Vertical Expertise, Education
Pivotal CEO Paul Maritz has some good advice for solution providers interested in establishing a beachhead in the big data market.
April 15, 2013
Data science team building 101: Cross-functional talent key to success
Forging a data science team process is more important than hiring the hard-to-fill position of a data scientist, according to a data science team leader. That makes sense, because the job title of a data scientist, which is still being defined, has expanded to the point where it has become something no one person can do.
April 8, 2013
Pentaho and Think Big Partner on Machine-Generated Big Data
The new partnership seeks to leverage customers’ demand for feasible ways of taking stock of and interpreting the vast quantities of information that bigger Big Data will impose.
April 5, 2013
Pentaho and ThinkBig Analytics Expand Partnership
The two companies have entered into a partnership focused on helping customers achieve measurable results from massive amounts of machine-generated data.
April 4, 2013
Pentaho, ThinkBig Tackle Internet Of Things Analysis
Storage vendors and network equipment manufacturers are the low-hanging fruit for a budding partnership between open-source data management and business intelligence software supplier Pentaho and boutique big-data consultancy Think Big. But that’s just the beginning.
April 4, 2013
Think Big and Pentaho Partnership Expedites Value of Big Data
Delivering the future of business analytics, Pentaho and Think Big today announced a partnership focused on helping customers achieve measurable results from massive amounts of machine-generated data. With several joint device-data user engagements already completed, the two companies initially will focus on this fast-growing market opportunity.
March 21, 2013
NASDAQ on the virtues of the public cloud
The financial services industry needs to store a lot of data, and the folks at NASDAQ want to use it to help build new products. But they also have to keep an eye on costs. Ann Neidenbach, an SVP at the NASDAQ OMX Group, explained how the exchange made the decision to use the Amazon public cloud for storage Thursday at the Structure:Data 2013 conference in New York.
March 19, 2013
Should Big Data Businesses Be Forced to Prevent Hacking?
Earlier this year, Twitter admitted they lost personal information on 250,000 or so users to hackers. Other organizations, including the New York Times and the Federal Reserve, reported hackers had been inside their systems… If hacking can be prevented, will corporations be forced to take steps to do so?
March 6, 2013
Improving Customer Support using Hadoop and Device Data Analytics
At Strata 2013 last week, Pentaho had the privilege to host a speaking session with Ben Lloyd, Sr. Program Manager, AutoSupport (ASUP) at NetApp. Ben leads a project called ASUP.Next, which has the goal of implementing a mission-critical data infrastructure for a worldwide customer support program for NetApp’s storage appliances.
March 1, 2013
Today’s Burning Question: Andrew Mason’s Ouster As Groupon’s CEO
Today we asked out panel of industry leaders: What can be learned from the series of events that led to Thursday’s ouster of Groupon CEO Andrew Mason?
February 22, 2013
VCs pour money into data startups during 2012
Venture capitalists made more big data investments in 2012 than in any previous year, according to a report released Thursday from CB Insights and law firm Orrick.
February 7, 2013
Former Quantcast VP gets $3m funding for big data venture
Think Big doesn’t offer analytics technology itself but instead works with companies to prioritise initiatives and identify technical and skills gaps. From there it tries to figure out the best big analytics hardware and software for the job. The company already works with some major firms, including Johnson & Johnson, Intel and Nasdaq, as well as media researchers Kantar Media and Quantcast.
February 7, 2013
Big Data Solution Provider Think Big Emerges From Stealth Mode With $3M In Funding
Think Big, a startup solution provider claiming its stake in the burgeoning big data market, announced this week its formal launch fueled by $3 million in funding from angel investor Daniel Scheinman, along with venture capital firm WI Harper Group.
February 6, 2013
Think Big Secures Funding for Big Data Consultancy
Big data is only so much noise if you don’t do anything with it. And with many people speculating about the looming lack of data scientists, the time might be right.
February 6, 2013
Think Big emerges with $3M funding
“Big Data as a service” is the idea behind Think Big, a Mountain View startup that came out of stealth mode on Tuesday.
February 5, 2013
Think Big raises $3M, goes old school with big data consultancy
The phrase “big data” is arguably one of the most played out terms of the last several years. Every company “has” it. Few companies know what it “is,” or what to “do” with it once they’ve collected it. Enter Think Big, a self-described big analytics as a service company that combines data science and data engineering to help enterprises drive value from data investments.
February 5, 2013
Think Big nabs $3M to help you with Hadoop
Analysts have reported that both chief marketing officers and chief information officers will carve out a slice of their budget to spend on big data technologies in the coming years.
February 5, 2013
Think Big Raises $3M For “Big Data As A Service” To Give Customers Predictive Powers And New Business Insights
Think Big is a new form of service provider that specializes in helping companies take advantage software and cloud-based offerings that have been built with big data in mind.
February 5, 2013
Think Big wants to help companies make the most of Hadoop
A big-data-analytics consulting company launches Tuesday with $3 million in seed funding, under the name Think Big. After almost three years of operating in stealth mode, Think Big is stepping out to consult with and educate more companies on big data analytics.
February 5, 2013
Big Data Startup Attracts Fortune 100 Clients, Venture Capital
Planning and implementing a Big Data project can be a daunting affair. Enter Think Big, a vendor-neutral services provider that aims to help large enterprises plan Big Data projects, train staff and then implement.
February 5, 2013
Everyone Is Talking About Big Data
At Think Big, Bodkin leads a considerably smaller staff of about 50. But he says he expects that to grow quickly as companies ramp up their Big Data plans this year. Already, the firm counts a number of Fortune 100 companies among its client list, including Wal-Mart, Apple and HSBC.
February 5, 2013
Think Big Closes Seed Financing
Think Big announces today a $3 million dollar seed round lead by Angel Investor Daniel Scheinman with participation from WI Harper Group. The company provides data science and engineering services that enable customers to accelerate their time to value from Big Data.
Jan 29, 2013
Superbowl XLVII in the Age of Big Data-Powered Advertising
Super Bowl Sunday is coming up, and while it’s always a time for advertisers to flex their creative muscles, this year we can expect brands to take their creativity a step further with targeted messages and ads. The real game changer this year will be how advertisers use Big Data to engage consumers in a more compelling way.
Jan 28, 2013
The Role of a Data Scientist
Although out-of-the-box software exists to run at the click of a button over large amounts of data, technology alone is not enough. Out-of-the-box solutions with defined analytical techniques constrain the approaches available, the types of data utilized, and the nature of the insights derived.
July 20, 2012
10 Coolest Big Data Startups Of 2012 (So Far)
Think Big positions itself as a big data solutions provider. The Mountain View, Calif.-based company works with Cloudera, DataStax, Hortonworks and other vendors, using their technologies to assemble big data systems for their clients.