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Jnan Dash

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Top Stories by Jnan Dash

Data Landscape at Facebook What does the data landscape look like at Facebook with its 1.3 billion users across the globe? They classify small data referring to OLTP-like queries that process and retrieve a small amount of data, usually 1-1000 objects requested by their id. Indexes limit the amount of data accessed during a single query, regardless of the total volume. Big data refers to queries that process large amounts of data, usually for analysis: trouble-shooting, identifying trends, and making decisions. The total volume of data is massive for both small and big data, ranging from hundreds of terabytes to hundreds of petabytes on disk. The heart of Facebook’s core data is TAO (The Association of Objects) – distributed data store for the social graph. The workload on this is extremely demanding. Every time any one of over a billion active users visits Facebo... (more)

Industry Bifurcation? | @CloudExpo [#Cloud #IoT]

Apple reported record sales in the most recent quarter, thanks to its upgraded iPhone line. But it was almost alone among the big technology firms in doing so. Profits reported for the same period, have fallen at Google as well as at IBM, SAP and VMWare. IBM has done more financial engineering than the real kind in recent years by its $100 billion buyback of its own shares since year 2000. It has shed less profitable assets, but now lacks a big fast-growing business. It even started layoffs in India recently. The earnings at VMWare dropped because of a recent acquisition. Some ... (more)

Fast Data vs. Big Data By @JnanDash | @BigDataExpo [#BigData]

Fast Data vs. Big Data – How to Combine? Today, all the discussion on Big Data centers around “static data” in a data lake (old Data Warehouse) accessed by BI tools or SQL on Hadoop (Hawk, Impala) or Map/Reduce algorithms (MapR) for analysis. This is looking at historical data and finding trends. Some new tools are trying to provide predictive analysis based on past trends. This area deals with mostly the volume and variety aspect of Big Data, but not the velocity or for “data in motion.” The term “Fast Data” is applied to data that is in motion. This component is getting more ... (more)

Internet of Things, Fast Data vs. BigData

Back when we were doing DB2 at IBM, there was an important older product called IMS which brought significant revenue. With another database product coming (based on relational technology), IBM did not want any cannibalization of the existing revenue stream. Hence we coined the phrase “dual database strategy” to justify the need for both DBMS products. In a similar vain, several vendors are concocting all kinds of terms and strategies to justify newer products under the banner of Big Data. One such phrase is Fast Data. We all know the 3Vs associated with the term Big Data – volu... (more)

The New IBM-Apple Partnership

We live in interesting times for sure. Who would have thought ten years ago that IBM and Apple would become partners? Here is the announcement as reported in eWeek: Apple and IBM surprised many on July 15, announcing a global partnership that will see the companies attempt to “transform enterprise mobility.” The announcement, punctuated with comments from Apple CEO Tim Cook and IBM CEO Ginni Rometty, served notice of the companies’ intentions to make Apple smartphones, tablets and mobile services pre-eminent in the enterprise, replacing the BlackBerry devices and security servic... (more)