big data solutions for enterprises

Big Data

In information technology, big data consists of data sets that grow so large that they become awkward to work with using on-hand database management tools. Difficulties include capture, storage, search, sharing, analytics, and visualizing. This trend continues because of the benefits of working with larger and larger data sets allowing analysts to spot business trends, prevent diseases, combat crime. Now a whole array of big data technologies like Hadoop, and other NoSQL technologies like MongoDB, graph databases like Neo4J, parallel processing models like Map Reduce are all making an interesting option for enterprises to use the data they generate to drive profits and efficiency

Polyglot Persistence Case Study – Big Data Architecture

Our Director Mr. Ashutosh Bijoor was invited to speak to a big data innovation conference in Mumbai. He chose to present a case study to illustrate how we use Polyglot Persistence – or in plain English – using more than one database in a single application. With the increase in the complexity and volume of data being handled by many applications today, it is imperative to consider databases other than the traditional relational databases that were not designed to handle the volume...

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Big Data Innovation – Driving Business Success – Conference in Mumbai

Big Data Innovation – Driving Business Success – Conference in Mumbai

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Introduction to NoSQL by Martin Fowler

Excellent talk and presentation by Martin Fowler, author of a famous book on the subject. He introduces NoSQL from a historical and technical perspective. He refers to actual use cases to describe the various types of NoSQL databases. He first groups key-value, document oriented, column (family) oriented into “aggregate oriented” databases, and contrasts these with conventional relational databases. He then describes how graph databases are different from other NoSQL databases and...

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McKinsey: Big data one of top five catalysts for US economy growth

McKinsey: Big data one of top five catalysts for US economy growth

McKinsey Global Institute published a report that identifies the top 5 catalysts of growth for the US economy: The US economy is struggling to find a new formula for vigorous growth. But all growth opportunities are not created equal. New McKinsey research pinpoints five catalysts—in energy, trade, technology, infrastructure, and talent development—that can quickly create jobs and deliver a substantial boost to GDP by 2020. An animated video below also runs the numbers on these game changers...

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Java EE threads v/s Node.js – which is better for concurrent data processing operations

Java EE threads v/s Node.js – which is better for concurrent data processing operations

We have started using NodeJS a lot these days typically to handle data processing applications that involve a large number of concurrent requests, each of which involve one or more I/O operations. Why Nodejs? Why not Java? Java obviously has a much wider acceptance in the enterprise software community, while NodeJS is still to catch up. In fact this post was triggered by exactly such questions posed by the customer who belongs squarely to the enterprise software community. But before we can...

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Evolution of big data at CERN – a short overview by Dr. Tim Smith

There is a mind-boggling amount of data floating around our society. Physicists at CERN have been pondering how to store and share their ever more massive data for decades – stimulating globalization of the internet along the way, whilst ‘solving’ their big data problem. Tim Smith plots CERN’s involvement with big data from fifty years ago to today. Dr. Tim Smith works in the CERN IT Department leading a group that provides services for the 10,000 strong CERN user...

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