IBM’s stack on big data management and governance

By Madan Sheina, Lead Analyst, Information Management, Tony Baer, Principal Analyst, Enterprise Solutions, Fredrik Tunvall, Analyst, Information ManagementThe big data phenomenon presents a challenge for data management, a complex IT discipline that many organizations still struggle to deal with effectively today, even with their “small” data sets. As data grows, so too does data uncertainty – and with it lowered quality and trust. IBM is in the process of extending its InfoSphere family of data integration...

By Ovum StraightTalk, 17 January 2013, 0 comments. Categories: Big Data, Enterprise.

How location is crucial to cloud data security

Anyone who has ever dealt in real estate—either buying a house, renting, or just living with someone in the industry—has heard the mantra "location, location, location." As it turns out, location matters in the cloud, too. In particular, if you work for a regional or global company, you’ll find that certain governments, regional political entities (eg. the EU), and industries impose restrictions on where specific types of data can physically reside.

These jurisdictions apply regulations that protect individual and corporate data privacy pertaining to their citizens, public entities, or private sector firms. The most sensitive data of which, Personally Identifiable Information (PII),...

By Bluewolf, 16 January 2013, 0 comments. Categories: Big Data, Government, Regulation.

How enterprise will win back data control in 2013

In 2012, we began losing our battle against data, as the amount of digital data being created, stored and shared reached new heights. At the same time, we witnessed a record build out of centralized infrastructure, as cloud vendors and enterprises built or expanded datacenters around the globe in an attempt to store and manage all this data. And the pace of both of these are only accelerating as we enter the new year.

This data escalation combined with the continued forces of consumerization and gamification...

By Margaret Dawson, 21 December 2012, 0 comments. Categories: Big Data, Enterprise, Forecasts.

Cloud disaster recovery: 5 key steps to secure your data

Hosting applications on the cloud is tempting many IT organisations for sundry reasons like availing benefits from outsized datacentres, backup power sources and other capabilities that till lately only established IT organisations could afford. Pay-as-you-go culture or guaranteed availability makes cloud adoption an easy and unperturbed choice for many SMBs and large scale organisations.

Many hosting providers maintain compound data centres, so decision makers often assume disaster recovery to be the inherent...

By NebuLogic, 18 December 2012, 1 comment. Categories: Big Data, Data Loss, Disaster Recovery.

Amazon Web Services fills out its big data cloud platform

Tony Baer, Principal Analyst, Ovum IT Enterprise solutions, Ovum

Announcements of new data platforms were highlighted at Amazon Web Services’ (AWS) first ever “re: Invent” user conference this week. Among the headlines, AWS announced Amazon Redshift, a managed, petabyte-scale data warehouse service that includes technology components licensed from ParAccel. Amazon Redshift will deliver the power of massively parallel columnar databases at a commodity price for data warehousing customers.AWS also announced AWS Data...

By Ovum StraightTalk, 05 December 2012, 0 comments. Categories: Big Data, IaaS, PaaS, Vendors.

Cloud survey from Asigra shows data backup trends

A survey commissioned by Asigra and conducted by TechValidate has found security as the primary concern with storing data in the cloud.

Of the companies surveyed, security (21%) was the biggest concern, followed by location of company data (7%), cost (3%), cloud service provider going out of business (3%) and user error leading to data loss (3%).

There is a reason if these numbers appear particularly low – the top answer for respondents was “all of the above” (59%).

So, evidently, the...

By James Bourne, 28 November 2012, 0 comments. Categories: Big Data, Research, SaaS .

Garbage data in, garbage information out: Big data or big garbage?

Do you know the computer technology saying, garbage data in results in garbage information out?

In other words even with the best algorithms and hardware, bad, junk or garbage data put in results in garbage information delivered. Of course, you might have data analysis and cleaning software to look for, find and remove bad or garbage data, however that's for a different post on another day.

If garbage data in equals garbage information out, does garbage big data in result in big...

By Greg Schulz, 26 November 2012, 0 comments. Categories: Big Data, Storage.

Cloud and big data – a fusion of two innovative IT trends

As market awareness and adoption increases, so customer confidence and clarity is growing and companies are better able to evaluate the benefits and challenges that big data presents their individual organisations.

It’s not surprising to see that big data is the top IT spending priority in Gartner’s recent global forecast.  These figures correlate with Cisco’s recent CloudWatch survey, which found that Big Data will be an important aspect of IT strategy and is set to increase in...

By Ian Foddering, 22 November 2012, 0 comments. Categories: Best Practice, Big Data, Data & Analytics.