Google will soon worth more than Apple

Google now worth more than Microsoft and will soon worth more than Apple

GOOG:US  858.800 USD13.080 1.55%

Google glass is getting hyped and trashed all at the same time and it’s not even here yet. Meanwhile, Android’s marketplace dominance and Google’s nicely executed moves to mobile ads are contributing to the valuation. And of course, Microsoft is suffering as their tablet/smartphone offerings flounder and the PC business that they dominate shrinks.

It’s an interesting thought, thinking through what company could be the next one to reach the quarter-trillion valuation mark, which is the valuation that both Google and Microsoft just recently shot past. In the far future, could (or perhaps not too far into the future, as in later this year?), Oracle and Cisco and Intel reach that plateau? They each have been worth that much before.

Price of 1 GB of storage falling over the past 30 yrs

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The Highest Paying Cities For Tech Jobs

In a recent Forbes’s article it appears workers with NoSQL skills were, on average, at the upper end of the pay scale.

One other interesting statistic from the Dice report: some I.T. skills are more prized than others. Workers fluent in programming languages like Hadoop, NoSQL and MongoDB, that can help companies analyze large databases, earn at the upper end of the pay scale, usually more than $100,000 a year, as opposed to $80,000 earned by those working with mobile technology or $90,000 for those who do cloud computing.


Intel Capital and Red Hat funding MongoDB

10gen, the MongoDB company, today announced that Intel Capital, Intel’s global investment and M&A organization, and Red Hat, the world’s leading provider of open source solutions, have made strategic investments in the company. 10gen will use the funds to further invest in product development for MongoDB and to better support its rapidly growing community and user base worldwide. The funding agreement marks Intel Capital’s first investment in the NoSQL market, and for Red Hat, expands the technical and go-to-market collaboration that exists between the two companies.

Official annoucement

BigData landscape

Bigdata BigData landscape from original Forbes’s article


Companies, products, and technologies included in the Big Data Landscape:

– Splunk, Loggly, Sumo Logic

– Predictive PolicingBloomReachAtigeoMyrrix 

– Media Science, Bluefin Labs, CollectiveI, Recorded Future, LuckySort, DataXu, RocketFuel, Turn

– Gnip, DatasiftSpace Curve, Factual, Windows Azure Marketplace, LexisNexis, Loqate, Kaggle, Knoema, Inrix

–  Oracle Hyperion,  SAP BusinessObjects, Microsoft Business Intelligence,IBM Cognos, SAS, MicroStrategy, GoodData, Autonomy, QlikView,, Domo, Bime, RJMetrics

–  Tableau Software, Palantir, MetaMarkets, Teradata Aster,, KarmaSphere, EMC Greenplum, Platfora, ClearStory Data, Dataspora, Centrifuge, Cirro, Ayata, Alteryx, Datameer, Panopticon, SAS, Tibco, Opera, Metalayer, Pentaho

– HortonWorks, Cloudera, MapR, Vertica, MapR, ParAccel, InfoBright, Kognitio, Calpont, Exasol, Datastax, Informatica

– Couchbase, Teradata, 10gen, Hadapt, Terracotta, MarkLogic, VoltDB,

– Amazon Web Services Elastic MapReduce, Infochimps, Microsoft Windows Azure, Google BigQuery

– Oracle, Microsoft SQL Server, MySQL, PostgreSQL, memsql, Sybase, IBM DB2

–  Hadoop, MapReduce, Hbase, Cassandra, Mahout

2012 Big Data Forecasts and Market Estimates

Forbes recently post a great analysis about 2012’s Big Data Forecasts and Market Estimates



The potential of big data to bring insights and intelligence into enterprises is a strong motivator, where managers are constantly looking for the competitive edge to win in their chosen  markets.  With so much potential to provide enterprises with enhanced analytics, insights and intelligence, it is understandable why this area has such high expectations – and hype – associated with it.

Given the potential big data has to reorder an enterprise and make it more competitive and profitable, it’s understandable why there are so many forecasts and market analyses being done today.  The following is a roundup of the latest big data forecasts and market estimates recently published:

  • As of last month, Gartner had received 12,000 searches over the last twelve months for the term “big data” with the pace increasing.
  • In Hype Cycle for Big Data, 2012, Gartner states that Column-Store DBMS, Cloud Computing, In-Memory Database Management Systems will be the three most transformational technologies in the next five years.  Gartner goes on to predict that Complex Event Processing, Content Analytics, Context-Enriched Services, Hybrid Cloud Computing, Information Capabilities Framework and Telematics round out the technologies the research firm considers transformational.  The Hype Cycle for Big Data is shown below:

  • Predictive modeling is gaining momentum with property and casualty (P&C) companies who are using them to support claims analysis, CRM, risk management, pricing and actuarial workflows, quoting, and underwriting. Web-based quoting systems and pricing optimization strategies are benefiting from investments in predictive modeling as well.   The Priority Matrix for Big Data, 2012 is shown below:

  •  Social content is the fastest growing category of new content in the enterprise and will eventually attain 20% market penetration.   Gartner defines social content as unstructured data created, edited and published on corporate blogs, communication and collaboration platforms, in addition to external platforms including Facebook, LinkedIn, Twitter, YouTube and a myriad of others.
  • Gartner reports that 45% as sales management teams identify sales analytics as a priority to help them understand sales performance, market conditions and opportunities.


  • Over 80% of Web Analytics solutions are delivered via Software-as-a-Service (SaaS).  Gartner goes on to estimate that over 90% of the total available market for Web Analytics are already using some form of tools and thatGoogle reported 10 million registrations for Google Analytics alone.  Google also reports 200,000 active users of their free Analytics application.  Gartner also states that the majority of the customers for these systems use two or more Web analytics applications, and less than 50% use the advanced functions including data warehousing, advanced reporting and higher-end customer segmentation features.


  • In the report Market Trends: Big Data Opportunities in Vertical Industries, the following heat map by industry shows that from a volume of data perspective, Banking and Securities, Communications, Media and Services, Government, and Manufacturing and Natural Resources have the greatest potential opportunity for Big Data.



  • Big data: The next frontier for innovation, competition, and productivity is available for download from the McKinsey Global Institute for free.  This is 156 page document authored by McKinsey researchers is excellent.  While it was published last year (June, 2011), if you’re following big data, download a copy as much of the research is still relevant.  McKinsey includes extensive analysis of how big data can deliver value in manufacturing value chains for example, which is shown below:

Prediction on Big Data acquisitions come true

Follow up on our 2011 prediction, One single NoSQL prediction for 2012 , the consolidation’s prediction already come true.

2012 started with a big wave of big data acquisitions.With the third quarter of 2012 not even halfway through, we’ve seen unprecedented big data purchases already this year.

Log Insight

The buzz for the last week has been about VMware’s latest big data acquisition of Log Insight. This makes them a veritable juggernaut in the field of real-time data analysis, following as it does VMware’s recent purchase of Nicira for $1.2 billion.

In a blog statement by Log Insight’s Spiros Xanthos, he states of the acquisition, “We anticipate that the potential of the Log Insight technology will be maximized through this acquisition. VMware is ideally positioned in the middle of two of the most important shifts in IT in the recent years, virtualization and Cloud Computing.”


IBM, that most familiar name in computing, is making strides in big data these days. In April of this year, IBM acquired enterprise search optimizer Vivisimo. In May they picked up Varicent, a data analytics company that provides comprehensive data throughout finance, sales, human resources and operations. Varicent’s customer base includes Starwood Hotels, Manpower, Hertz and Office Depot. Most recently, in June, IBM finalized their acquisition of Tea Leaf, a leader in customer behavior analysis.


In May, Cisco finalized their acquisition of Truviso. In Cisco’s blog announcement of intent to purchase, Hilton Romanski wrote, “Truviso’s continuous query technology allows companies to get detailed information and visibility of network use and services in real-time, with its analyze-first, store-later capability.”


Jive Software purchased Proximal in April in an effort to analyze social networks. Proximal’s ability to mine the happenings on Twitter and get that information out to potentially interested parties means real-time consumer targeting. It was a comprehensive acquisition that will see the Proximal team moved to Palo Alto and completely folded into Jive’s workings. In his blog post, Brian Roddy explained, “The Proximal technology will be immediately leveraged in multiple areas of the Jive product, including supercharging our recommender, analytics, search and the Jive Social Media Engagement.”


Social media powerhouse and Wall Street disaster Facebook acquired Instagram for $1 billion in April of this year. What appears to the user as merely a photo sharing service is in fact a potential goldmine for Facebook. Their already overarching ability to track users’ every moves means that a person uploading a photo to Facebook from a mobile device can be tracked, their location pinpointed, and interest-specific ads placed on the margins of their Facebook page.

90% of the existing data was created in the last two years

And a few more facts about BigData:

  • Wal-Mart handles more than a million customer transactions every hour.
  • Facebook hosts more than 50 billion photos.
  • Google has set up thousands of servers in huge warehouses to process searches.
  • 90 % of the data that exists today was created within the last two years.


It is a pattern of growth driven by such rapid and relentless trends as the rise of social networks, video and the Web.  Particularly for organizations struggling to keep on top of their most critical missions, providing visibility into, and actionable business intelligence out of the explosive surge in data, has created unprecedented challenges.

That’s because big data causes big problems for companies, as well as for our economy and national security. Look no further than the financial crisis. Near the end of 2008, when the global financial system stood at the brink of collapse, the CEO of a global banking giant during a conference call with analysts was repeatedly asked to quantify the volume of mortgage-backed security holdings on the bank’s books. Despite the bank’s having spent a whopping $37 billion on IT operations over the previous 10 years, his best response was a sheepish: “I don’t have that information.”

Had regulators and big banks been able to accurately assess their exposure to subprime lending, we might have dampened the recession and saved the housing market from its biggest fall in 30 years

Standard review – ISO 4217 – Currency

ISO 4217 is a standard published by the International Standards Organization, which delineates currency designators, country codes (alpha and numeric) and references to minor units in three tables:

An updated and freely data source for Country and Currency code is available here:

The ISO 4217 maintenance agency (MA), SIX Interbank Clearing, is responsible for maintaining the list of codes.

10gen taking MongoDB mainstream with $42M more

According to 10gen is taking MongoDB mainstream with new funding of $42M

10gen, the creator and commercial entity behind the popular MongoDB database, has raised another $42 million and wants to take the technology to an application near you. New Enterprise Associates led the round, with 10gen’s existing investorsalso participating. The round brings 10gen’s total funding to $73 million, which should help 10gen double down on research and development so it can cement MongoDB as the NoSQL database of choice for businesses of all types and maybe even make it a household name.

By any count, it appears that MongoDB is by far the most popular of the non-relational NoSQL class of databases. (This survey from BI vendor Jaspersoft is probably an accurate microcosm of NoSQL adoption overall.) 10gen has already reaped the rewards of its work on the technology, with its sales growing by about 50 percent each quarter and its headcount growing by 400 percent in the past 16 months.

“Business is fantastic,” 10gen President Max Schireson told me. “We keep outperforming every goal that we set for ourselves and the market just feels like it’s huge.” In fact, he said, new sales people pay for themselves almost immediately upon joining the company.

But MongoDB isn’t perfect, which is why 10gen is putting the new money toward R&D to help improve MongoDB and make it more accessible to broad world of users beyond its web roots. Among other things, it has been criticized for being rather difficult to manage at scale. This is somewhat ironic, as scalability, along with the flexibility that comes with being schemaless, is among the driving factors behind the NoSQL movement. One would expect the most-popular of the bunch to scale with ease.

However, Schireson explained, 10gen has invested heavily in ease of use and functionality early on rather than just speed and scalability. Because it’s so easy to use, MongoDB has attracted lots of web developers who don’t mind working around its scalability shortcomings, as well as a growing number of more-traditional (although not for a NoSQL database) uses such as operational intelligence, content management and even revenue reconciliation for Sarbanes-Oxley compliance. Many users, Schireson said, run single-server MongoDB deployments because it’s so much easier than even running an Oracle database at that scale.

When looking at the growth of the MongoDB community (Schireson says MongoDB has a four-to-one lead over the rest of the NoSQL world in terms of adoption and community size), it’s difficult to argue with 10gen’s development strategy up to this point. A product people want to use means a large community of developers, which means a self-feeding ecosystem. In the NoSQL world, MongoDB looks a lot like Hadoop in the big data world, with a growing number of partners and startups popping up around it to fill in technological gaps (e.g., analytics or search) or to add new value via hosted services. And then there are the investors looking to feed everyone involved, millions of dollars at a time.

Even under the broad NoSQL banner, the database world is diverse enough that MongoDB doesn’t have to be all things for all people, it just has to be a lot of things for a lot of people. It’s not perfect, but it doesn’t have to be. And 10gen’s latest $42 million could go a long way toward improving upon whatever flaws it has.