March 18, 2016
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
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
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
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
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
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
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
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
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 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
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 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
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?