Posts tagged ‘bigdata’

A BIG Data Week in Malaysia

Asia: a huge, diverse, and rapidly changing society. One could even say it has high volume, variety, and velocity. Here in Malaysia we value a good technology festival, and we’ve been discussing Big Data for at least a year (the veracity of this claim is backed up by the list of previous Big Data Malaysia meetups, which is by no means the only local group discussing these issues). Now that I’ve paid nominal (and perhaps somewhat cheeky) obligatory homage to the 3+2Vs of Big Data, let’s get on with what actually happened during Big Data Week 2013 in Kuala Lumpur. But first, a disclaimer: although the official partner city was Kuala Lumpur, it would be more accurate to say that […] Continue Reading

Rise Of The Machines – Why Big Data Is Getting Bigger Every Day

Hundreds of terabytes. That’s the amount of Big Data being generated by multi-national corporations, every day. While terrifying for some, others see it as an opportunity to fundamentally transform how their organisations operate and make decisions. According to Gartner, Big Data is forecast to drive $34 billion of IT spending in 2013. But what most people think of when they hear the term ‘Big Data’ almost certainly isn’t what I’m talking about. What many organisations still regard as Big Data – unstructured information contained in emails, electronic documents, social media interactions etc – is just a thin layer in the vast strata of data available to them. In our mobile, time-precious world, the new frontier in Big Data analytics is […] Continue Reading

The Big Data Discovery Puzzle

By Kevin Long, Business Development Director, Teradata UK No matter what the industry, forming the intelligent discovery environment required to generate competitive advantage from big data can be extremely tough. Although traditional analytics and methodologies are fairly robust, in the rush to generate insight from big data projects, the introduction of new analytics technologies and previously unfamiliar open source data storage tools like Hadoop will inevitably create a learning curve. Creating such an environment also tends to require a shift in mindset. Traditionally, IT culture has always been very requirements-led, making traditional BI, analytics and data warehousing a tough juggling act. Indeed, simply retrieving the data and working out what to do with it required a high degree of flexibility. […] Continue Reading

The Changing Face Of Data: The Convergence Of Technologies, Devices And Apps Is Prodding More Companies To Take Big Data Seriously

In a world where ABC (Analytics, Big Data, Cloud) are converging, the need to manage, monitor and predict business outcomes and market readiness is also changing. And with the wide prevalence of tablets, smart phones and social media, the urgency to mine intelligence from the tons of raw data is prodding more companies and governments to beef up their big data plans. Simply put, BD (big data) is the amalgamation of structured data (in databases) with unstructured data (from email, Facebook posts, Twitter feeds, LinkedIn updates, video feeds, etc). After a few years of experimentation and early adopter successes, 2013 will be the year of larger scale adoption of BD technologies, says research house Gartner. According to a Gartner global […] Continue Reading

Forget About Big Data – It’s All About New Data

IBM has established that 90% of the world’s data is less than two years old – we create 2.5 quintillion bytes of the stuff each and every day. Let’s put that another way; in the last 24 months, the existing infrastructure for creating, storing and interrogating data has had to absorb an enormous volume of raw data. That infrastructure costs a lot, even before a single byte is analysed. Some of this data is incredibly valuable if processed in the correct fashion. Some simply has to be retained. For both, however, there is a cost. While the emphasis these days is quite rightly on how to analyse enormous data sets and generate usable information from them, we’re also looking at […] Continue Reading

Big Data Week Expands Global Presence to Include Atlanta, Partners with Big Data Analytics Startup Emcien to Drive Citywide Engagement

ATLANTA, GA — Emcien Corp., a pioneer in automatic pattern detection for Big Data, announced today its partnership with Big Data Week, a global effort dedicated to connecting a number of cities including Barcelona, Moscow and Shanghai through locally hosted meetups, events, networking functions, demos, debates, hackathons and more. This partnership ensures that Atlanta-based organizations can take part in the movement by hosting individual functions throughout the city during the week, which takes place on April 22-28, 2013. Local Big Data startup Emcien was selected to drive the message and raise awareness in Atlanta. “We’re pleased to add Atlanta to our list of cities this year because of its growth and dedication to innovation and technology,” said Andrew Gregson, founder […] Continue Reading

The Value in Unstructured Data

Big Data is the biggest trend in IT right now, however the term is loosely thrown around and becoming increasingly ambiguous. Everyone seems to be doing some sort of “Big Data” nowadays, which can cause great confusion among organizations with actual Big Data needs. We at IKANOW focus on unstructured data analytics, and may be a little bias, but believe it is an essential part of any Big Data offering. One question we hear all the time is “what’s the business value in unstructured data?” Occasionally, we also receive raised eyebrows and blank stares when referring to unstructured data. To help answer this question and provide clarity about unstructured data, let’s take a look at the differences between structured and […] Continue Reading

Getting Creative with Big Data and Google Apps

Big data isn’t just for those who can wrangle Hadoop or wrestle with R. Service interfaces (APIs) make it easy for even the relative novice explorer some creative solutions. Working for an innovation centre I often find the need to quickly glue together service APIs to gain some insight from the data flowing around our sector. More often than not I turn to Google Sheets (Spreadsheets) and Google Apps Script to rapidly develop dashboards I can share with colleagues. It’s reassuring to see I’m not the only one who uses this approach. A recent post on the Google Apps Developer Blog highlighting how the UK Government’s Cabinet Office do Google Analytics reporting with Google Apps Script. A great thing about […] Continue Reading

#bdw12 Jairam Chandar “Hadoop at DataSift”

Jairam Chandar from DataSift talkin “Hadoop at DataSift” The Apache Hadoop software library is a framework that allows for the distributed processing of large data sets across clusters of computers using simple programming models. It is designed to scale up from single servers to thousands of machines, each offering local computation and storage. Rather than rely on hardware to deliver high-avaiability, the library itself is designed to detect and handle failures at the application layer, so delivering a highly-availabile service on top of a cluster of computers, each of which may be prone to failures. Find out more about Hadoop

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