The 451 Take on information management. The Data Day, A few days: March 22-April 4 2014 April 4th, 2014 — Matthew Aslett Data management Cloudera raises $900m.
Pivotal launches Big Data Suite. And more. For @451Research clients: @Cloudera completes $900m funding round – yes, you read that right: $900m Matt Aslett (@maslett) April 1, 2014 For @451Research clients: @gopivotal launches Big Data Suite, based on unlimited Hadoop Matt Aslett (@maslett) April 4, 2014 For @451Research clients: @SAP gives its Business Warehouse more of the HANA treatment By @jasonstamper— Matt Aslett (@maslett) April 4, 2014 For @451Research clients: @Qubole racks up, ready for expanded Hadoop-based data analytics service Matt Aslett (@maslett) April 1, 2014 For @451Research clients: @datameer gets into the analytics workflow with data profiling for Hadoop By Krishna Roy— Matt Aslett (@maslett) March 31, 2014. 20 must read Infograhics on Big Data.
By Ravi Kalakota.
Big Data Infographic and Gartner 2012 Top 10 Strategic Tech Trends. By Ravi Kalakota Data, data and more data…data is everywhere…data is important… By 2015, nearly 3 billion people will be online, pushing the data created and shared to nearly 8 zettabytes.
Centurylink created this cool infographic to highlight the data deluge and big data issues. Gartner 2012 Top 10 Tech Trends illustrated some examples of this. 30 billion pieces of content were added to Facebook this past month by 600 million plus users.Zynga processes 1 petabyte of content for players every day, a volume of data that is unmatched in the social game industry.More than 2 billion videos were watched on YouTube … yesterday.The average teenager sends 4,762 text messages per month.32 billion searches were performed last month … on Twitter.Worldwide IP traffic will quadruple by 2015 (Cloud is a big driver for this; most corporations are racing to upgrade networks and connectivity) Time for a strategy….
Like this: Like Loading... Bossie Awards 2013: The best open source big data tools. 2012 Big Data Revenue By Vendor. Contributing authors: David Floyer, Jeff Kelly, Dave Vellante, Stu Miniman Introduction to Overall Big Data Market by Vendor Wikibon's latest Big Data Vendor Revenue and Market Projections 2012-2017 study, details the segments that go to make up the Big Data marketplace, and projects Big Data revenues by segment out until 2017.
A more detailed research professional alert looks at the Database segment of the Big Data Market. This report focuses on 2012 Big Data revenue by Vendor, and looks at the data from the Wikibon Big Data Model. The pie chart in Figure 1 shows the eight market segments that have been tracked and modeled by Wikibon, and which together make up the Big Data Market for 2012. The overall Big Data market is estimated to be $11.3 billion, a growth of 58% over a revised 2011 figure of $7.2 billion. Survey results: How businesses are adopting and dealing with data. On December 7, 2011, we held our fifth Strata Online Conference.
This series of free web events brings together analysts, innovators and researchers from a variety of fields. Each conference, we look at a particular facet of the move to big data — from personal analytics, to disruptive startups, to enterprise adoption. This time, we focused on how businesses are going to embrace big data, and where the challenges lie. It was a perfect opportunity to survey the attendees and get a glimpse into enterprise adoption of big data. Out of the roughly 350 attendees, approximately 100 agreed to give us their feedback on a number of questions we asked.
Some basic facts While the attendees worked for a mix of commercial, educational, government, and non-profit companies, the vast majority (82%) worked for a commercial, for-profit company. Click to enlarge. Most of the attendees’ organizations were also fairly large — more than half of them had 500 co-workers, and 22% of them had more than 10,000. 7 Big Data Players To Watch. The “4 Ms” of Big Data. By far, the below Big Data Business Model Maturity Index generates the most discussion whenever I talk to customers about where and how to start their big data journeys.
This chart gets the creative juices flowing, not only about how organizations can enhance their current business intelligence and data warehouse investments, but also about the business potential of big data. To be successful with big data, organizations need to “begin with an end in mind” (to quote Stephen Covey) otherwise “if you don’t know where you are going, you might end up someplace else”(to quote Yogi Berra). Though I have written about the Big Data Business Maturity Index previously, there have been some interesting observations that have come out of those discussions that I want to share.
In particular, I want to share with you the “4 Ms” of Big Data, but am going to make you wait until the end of the blog to unveil the “4 Ms. So hang tight!