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Big Data

A few months ago experts predicted 2013 would be the Year of Big Data. To a large extent, those predictions have been spot on, with big data investment on the rise and success stories emerging across a variety of industries from insurance to pharma to professional basketball. The big ...
Over the past two decades relational databases have been most successful in serving large scale OLTP and OLAP applications across enterprises. However, in the past couple of years with the advent of Big Data, processing especially processing unstructured data coupled with the need for ...
Big Data as we know it today is more aligned to the analytical processing of large quantities of data. All the predominant use cases identified by the big data product vendors are more aligned with analytical processing. For example one of the major use case of Big Data is about utiliz...
The business value of analytics has never been greater. But enterprises are flooded with a deluge of data spread across analyst desktops, big data stores, data warehouses and marts, transaction systems and the cloud. How do analysts overcome these data challenges? Data is the lifeblo...
Over the past two decades relational databases have been most successful in serving large scale OLTP and OLAP applications across enterprises. However, in the past couple of years with the advent of Big Data processing, especially processing unstructured data coupled with the need for ...
Rarely a day goes by that you don't hear about a data breach. Hospital records stolen. Social media accounts hacked. Education transcripts revealed. Every industry is susceptible and every company is at risk. The result can be embarrassing and expensive at best and absolutely crippling...
Nowadays every single CIO, CTO, or business executive that I speak to is captivated by these three new technologies: Big Data, API management and IoTs (Internet of Things). Every single organizational executive that I speak with confirms that they either have current projects that are ...
BigData (and Hadoop) are buzzword and growth areas of computing; this article will distill the concepts into easy-to-understand terms. As the name implies, BigData is literally "big data" or "lots of data" that needs to be processed. Lets take a simple example: the city council of San...
Knowing what Big Data is, is one; knowing what a Big Data strategy is two; knowing how to implement that Big Data strategy is even more difficult. At least, that is how a lot of organizations perceive it. It must be said, in large process-directed organizations, what most of the large ...
The IT industry is nothing if not a breeding ground for an infinite variety of acronyms and neologisms. Alongside cloud computing today sits the term Big Data, which of course we understand to mean “that amount” of data which a traditional database would find hard to compute and proces...
By the end of 2013, 1.4 billion smartphones will be in use by consumers from around the world. Around 2015, Gartner predicts that more tablets will be sold than PCs worldwide and in 2017 1.75 tablets will be sold for every PC. The growth of smartphones is not only in the Western world....
We have all been getting used to the term Big Data by now. Despite varying definitions of what it is supposed to mean across a variety of computing platforms and use cases, we typically understand Big Data to refer to anything from “hundreds” of gigabytes for smaller organizations thro...
Following my high-level write-up of Hadoop and Big Data, this article will present each of the components or projects that make up Hadoop with a technical description of each. First, what is Hadoop? Hadoop stores and processes large volumes of a wide variety of data that changes rapi...
This week I read an interesting article titled, Mobile Phone Data Redraws Bus Routes in Africa. Seems the MNO (mobile network operator) Orange released 2.5 billion phone records (anonymised data) from 5 million phones for an exercise on how Big Data could be used to improve lives. Th...
Over the last couple of months I have been talking to more and more customers who are either bringing their Hadoop clusters into production or have already done so and are now getting serious about operations. This leads to some interesting discussions about how to monitor Hadoop prope...
The most essential element in optimizing performance is detecting issues before they impact your systems. However, you need to implement constant monitoring on your operating environment to gain this early insight. There are tools to help, but finding one that provides all the right in...
Many software vendors, analyst and journalist are overusing the term “Data Governance” in today’s complex business and IT environments. However, it has become one of the primary goals and drivers for data-related IT projects while at the same time being one of the most difficult to def...
Microsoft recently announced the PolyBase technology as part of SQL Server 2012 Parallel Data Warehouse solution. PolyBase is a breakthrough new technology on the data processing engine in SQL Server 2012 Parallel Data Warehouse designed as the simplest way to combine non-relational da...
Federal agencies spent close to $4.9 billion on Big Data resources during fiscal year 2012 and that number could grow to $5.7 billion in 2014. Research firm Deltek estimates federal big data spending will grow to $7.2 billion by 2017 as agencies strive to handle ever-increasing volume...
If you’re not convinced the hype around Big Data is entirely justified, consider the following statistics: in the time it takes an average person to read this article, 72 petabytes of data (that’s 72 x 1015 if you’re counting) will have been added to the global information pool. Each h...
The Big Data and Cloud “movements” have acted as catalysts for tremendous growth in fit-for-purpose databases. Along with this growth, we see a new set of challenges in how we access the data through our business-critical applications. Let’s take a brief look at the evolution of these ...
Organizations today understand that better access to information assets can improve their bottom-line. But they struggle with the variety of enterprise, cloud and big data sources, and all their associated access mechanisms, syntax, security, etc. Data abstraction overcomes data sourc...
Recent developments in the healthcare industry have meant that patient and disease specific data is now more important than ever. This is because EMRs backed by health information exchanges across the nation have simplified the exchange of lab reports, tests, scans, prescribed medicati...
There is a backlash growing against the term "Big Data.” Some of the negativity is just because of hype; people are attaching the name to their company for any reason, absurd reasons, and/or no reason at all. I recently saw a pitch by a new venture that "creates Big Data for your busi...
Through the sheer volume of big data bombarding the human mind, a more human delivery and capture of data is coming. Google Glasses will only be one of them, as augmented reality becomes a business multiplier and brings APIs to our eyes. Augmented reality (AR) is coming, not for fla...
Big Data – a large amount of information that comes in a variety of forms and constantly changes – has generated a significant amount of buzz in the business world, mostly around the implications for marketing. But there’s little attention paid to its potential impact on risk managemen...
It goes without saying that 'Big Data' is very much a hot topic right now. In fact, there doesn't seem to be a day when we're not being spoken to, about or on the subject, and when you consider the possibilities of what Big Data provides it's not hard to see why. It allows organizati...
A panel of experts explores how large enterprises are delivering better risk assessments and risk analysis, and how big data can be both an area to protect, but also a tool for understanding and mitigating risks. The information security industry has struggled with getting the attenti...
It’s common knowledge that the subscriber growth enjoyed by wireless Communication Service Providers (CSPs) over the last several years is tapering off. The CSPs really need new sources of revenue to deliver the required growth. Over-The-Top (OTT) players on the other hand are moving q...
The Big Data and analytics challenge that data virtualization best addresses is helping enterprises take advantage of their data. In other words, enterprises today are data rich with loads of enterprise, cloud, third party and Big Data. But they remain information poor. In this context...
Uploading Big Data from our internal network to the Cloud via an Internet connection is as practical as filling a swimming pool through a drinking straw. It doesn’t matter how sophisticated our Big Data analytics, how super-duper our Hadoopers. If we can’t efficiently get our data wher...
Wrapping up a year of impressive growth and product innovation, Gazzang, the Linux data security company, today made its 2013 predictions covering emerging trends in big data, the cloud and open source technology adoption. “Buoyed by increasing adoption of and trust in cloud technolog...