Big Data Analytics
This blog offers best practices and tips for companies looking toextract insight from internal data, plus today's most useful data from acrossthe Internet.
-
The NSA and Big Data
While your company may not be subjected to the global scrutiny befalling the NSA and U.S. intelligence gathering apparatus, the "Big Snooping" capabilities engendered by Big Data must be used in a clearly delineated and responsible manner.
-
Demand for Big Data pros on the rise
A new Dice report says that companies are getting into Big Data in a big way. Job postings for these jobs run the gamut from retailers to insurance companies and are all across the nation.
-
The four phases of Big Data: A retrospective
Now that last fall's IBM and Oxford University survey about Big Data is in wide circulation, we revisit it to get some impressions from industry experts.
-
Getting on top of the Big Data life cycle
If we don't start thinking about how we are going to manage this incoming mass of Big Data in our data centers--where images, videos and documents are growing at a clip of 80 percent--we may never be able to lift our heads from under it.
-
Use Big Data for marketing accountability
Astute marketing executives can leverage the power of big data analytics to fortify their value in the organization. Take some time today to see how your executives feel about your marketing accountability.
-
Big Data analytics requires breakdown of operational silos
From the data and computing sides, we already know it is absolutely essential to break down IT infrastructure silos between platforms, networks and staff-but have we gotten this silo-breaking concept across to the end business?
-
Preparing today for the Big Data challenges of tomorrow
Big Data challenges of tomorrow are many. Will Kelly brings us some insight from Big Data leaders on how to meet those challenges.
-
Has the CIO lost Big Data?
Big Data technology has increasingly become embedded in business units, and budgets, and initiative ownership is shifting away from the CIO and toward line of business ownership. What can you do about this?
-
Double-down on your Big Data resources
Take some time today to re-evaluate the value on your Big Data strategy--you might want to double down on your resources.
-
How to overcome Big Data's main stumbling block
The stumbling block for many companies-and the reason why organizations fall behind in the planning and pre-planning stages of big data, appears to be confusion on how best to make big data work for the company and pay off competitively.
-
The Big Data magic act
The organization that wants to achieve causal ambiguity must focus on big data innovation, retaining key analytic talent, and protecting the organization's information prowess.
-
Will cloud big data options bring pain relief?
Companies should consider cloud if it delivers a best-of-breed big data solution affordably and painlessly. But at the same time, companies need to keep their long-term big data strategies in mind.
-
Are we headed for a platform change for Big Data?
There's some re-thinking by HPC (high performance computing) vendors about which hardware delivers the best processing for big data payloads that need to be processed and analyzed as quickly as possible.
-
Dying of thirst in an ocean of data
Organizations need to find ways to bring seas of data under control and use methodologies capable of identifying and harvesting the information that they have a need to know.
-
Big Data and the million-node network
As you consider how to cope with a million-node network, apply Big Data diligently and carefully, with a business problem the tools are expected to solve guiding your implementation.
-
Big Data, big problems?
Mary Shacklett offers some tips for how to make the transition from tracking traditional transaction data to the unstructured and rich data formats that come in from the web.
-
Network planning should be part of Big Data
Network specialists should be keeping their ears to the ground with respect to new network-enhancing technologies that are likely to be directed into the company's Big Data initiatives.
-
10 things IT architects should consider when choosing data storage technologies
One important part of dealing with data is figuring out how and where to store it. Here are ten things to think about when choosing the right data storage technologies for your enterprise or project.
-
Before Big Data, clean data
With interest in the analysis side of data at an all-time high, it's not a bad time to suggest efforts to clean that most critical aspect of any Big Data project.
-
Before you hand things over to a Big Data vendor, do this
The good news about Big Data is that when you say the word, potential vendors will be lined up at your door, each claiming to be able to handle the mass of data you propose to send them. But before you jump to vendor selection, do this.
-
Beyond hype: 70 percent will use data analytics by 2013
Survey of over 1,300 TechRepublic and ZDNet members shows a growing expectation that data analytics and big data will have a major impact on businesses' performance in the next two years.
-
BI still dependent on IT
There's never been a better time for IT to step up and show what tech can do to drive the business. They're the only people who can set the systems in motion to capture data and mine it successfully.
-
Big Data analysis gets more complex
Companies want to know more complex elements that could be triggers of consumer behavior, besides just how old they are and what gender they are.
-
Big Data analysts: Do you hire or train for it?
One way to harness big data is to hire someone to do it. But you're going to find yourself in a highly competitive market.
-
Big Data analytics requires breakdown of operational silos
From the data and computing sides, we already know it is absolutely essential to break down IT infrastructure silos between platforms, networks and staff-but have we gotten this silo-breaking concept across to the end business?
-
Big Data and social media: A match made in heaven?
In the private sector, there's excitement around a relatively simple premise: that Big Data can divine actionable answers from the chaos of social media. Is this true?
-
Big Data and the Internet of Things
There's little practical benefit the Internet of Things without an ability to track, manage, and glean useful information from the massive amount of data a world of interconnected devices will generate.
-
Big Data and the million-node network
As you consider how to cope with a million-node network, apply Big Data diligently and carefully, with a business problem the tools are expected to solve guiding your implementation.
-
Big Data archiving should be more mission-critical
Sites should be planning for ready and painless user access (without IT intercession) to relevant historical information, as well as split second access to data that has been newly created.
-
Big data asset management: Engage traditional thinking to solve new problems
The IT asset management traditional playbook delivers value for big data. Here's what IT decision makers should consider about big data asset management.