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Big Data Analytics
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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.
Posted by Mary Shacklett | January 30, 2013, 5:22 AM PST
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Framing your Big Data strategy for success
As an information strategist, John Weathington frequently sees organizations who are unsure of their Big Data strategy six months into the effort. Here are his tips for framing Big Data success.
Posted by John Weathington | January 28, 2013, 6:38 AM PST
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Recouping your Big Data investment in one year
Although the horizon for your Big Data strategy may be three to five years, there's no reason why you can't recoup your investment within the first year.
Posted by John Weathington | January 23, 2013, 5:21 AM PST
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Live event: TechRepublic and ZDNet's Big Data Webinar
A panel of experts will join TechRepublic and ZDNet's live webinar to discuss the findings of a recent ZDNet survey on Analytics/Big Data. Find out how to register.
Posted by Bill Detwiler | January 21, 2013, 12:16 PM PST
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Big Data lessons enterprises can learn from the Cloud
Cloud solutions for the supply chain, where the approach to data gathering and data sharing has been nothing short of revolutionary. Here's what those solutions can teach us about Big Data.
Posted by Mary Shacklett | January 21, 2013, 8:05 AM PST | Latest comment by kees lucassen
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Three applications of M2M and Big Data
Will Kelly points out three areas where Machine to Machine (M2M) technologies and Big Data are coming to together to deliver business results.
Posted by Will Kelly | January 16, 2013, 11:18 AM PST
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Commoditizing HPC: What it means for IT
The sooner IT readies itself for HPC, the more aggressive companies can be in taking advantage of big data in ways that present-day business analytics can't facilitate.
Posted by Mary Shacklett | January 14, 2013, 5:26 AM PST
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Setting a KPI course for Big Data
Big Data can be a lot like spring cleaning. You can come across a lot of "stuff" you don't really need, but you still have to dig into it. So where do you start?
Posted by Mary Shacklett | January 9, 2013, 5:08 AM PST
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Where Big Data fails
Big Data can guide you toward the right strategy, but it remains incumbent upon management to develop a variety of strategies and maintain the flexibility to switch and modify them when appropriate.
Posted by Patrick Gray | January 8, 2013, 10:09 AM PST
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Don't overlook your Big Data leadership and management
Big Data capability is not built on data scientists alone; you must also build competence in dealing with change and complexity.
Posted by John Weathington | January 5, 2013, 4:51 AM PST
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Games might propel Big Data
IT should look at the online gaming industry with the intent of identifying best practices and big data goals for IT roadmaps.
Posted by Mary Shacklett | January 4, 2013, 4:16 AM PST
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Making Big Data small: Big Data in smaller businesses
On first glace, Big Data seems to be the domain of only the largest of enterprises but it need not be the sole province of the big guys.
Posted by Patrick Gray | December 27, 2012, 4:00 AM PST
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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...
Posted by Patrick Gray | December 24, 2012, 4:00 AM PST
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Big Data evolution depends on asking the right questions
As we develop experience with Big Data, more organizations will opt to ask their own questions for what they hope will yield greater returns. Here's an example how this can unfold.
Posted by Mary Shacklett | December 19, 2012, 5:52 AM PST
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The role of the Data Scientist in Big Data
The role of the Data Scientist can be wide ranging while critical to large-scale Big Data efforts. Will Kelly peers into the role of the Data Scientist.
Posted by Will Kelly | December 17, 2012, 6:11 AM PST
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Finding and keeping Big Data talent
If you're looking to reel in the Big Data fish, make sure you have a big enough boat. Big Data talent is all around, but you must be in touch with the real costs of acquiring these resources if...
Posted by John Weathington | December 12, 2012, 4:48 AM PST
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Can Big Data Analytics learn some lessons from fraud detection software?
Credit card fraud detection analytics has worked in banking-and its history yields lessons that should be applied to Big Data.
Posted by Mary Shacklett | December 10, 2012, 5:06 AM PST | Latest comment by ADCom Solutions
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10 emerging technologies for Big Data
Thoran Rodrigues interviewed Dr. Satwant Kaur about the 10 emerging technologies that will drive Big Data forward.
Posted by Thoran Rodrigues | December 5, 2012, 6:00 AM PST
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SMBs: How to ramp up for Big Data quickly
If you are an SMB and you know you can't afford to bring high-dollar analytics solutions and data analysts into your organization, here are some things you can do to improve your competitive position.
Posted by Mary Shacklett | December 3, 2012, 5:39 AM PST
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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.
Posted by Bill Detwiler | November 29, 2012, 11:34 AM PST | Latest comment by Deadly Ernest
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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...
Posted by Mary Shacklett | May 27, 2013, 5:24 AM PDT
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How to harness Big Data in motion
Here are some of the technologies that companies need to look at if they want real-time big data analytics.
Posted by Mary Shacklett | May 17, 2013, 5:13 AM PDT
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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.
Posted by John Weathington | June 4, 2013, 5:49 AM PDT
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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...
Posted by Mary Shacklett | June 10, 2013, 5:42 AM PDT
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Unconventional uses of Big Data and predictive analytics
Will Kelly tells us about some unconventional uses of Big Data and predictive analytics that are happening across multiple industries.
Posted by Will Kelly | May 6, 2013, 4:48 AM PDT
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10 emerging technologies for Big Data
Thoran Rodrigues interviewed Dr. Satwant Kaur about the 10 emerging technologies that will drive Big Data forward.
Posted by Thoran Rodrigues | December 5, 2012, 6:00 AM PST
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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.
Posted by Patrick Gray | May 22, 2013, 5:14 AM PDT
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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.
Posted by Mary Shacklett | May 22, 2013, 11:09 AM PDT
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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.
Posted by John Weathington | June 12, 2013, 2:02 PM PDT
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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.
Posted by Mary Shacklett | June 3, 2013, 4:58 AM PDT
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With Big Data, what's better--qualities or quantities?
When selecting the data scientists that will fuel for your Big Data innovation and/or strategy, you must make sure you understand how they feel about research.
Posted by John Weathington | May 15, 2013, 5:33 AM PDT
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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...
Posted by Patrick Gray | June 17, 2013, 4:55 AM PDT | Latest comment by pete@...
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Building an analytics infrastructure around big data
The right big data infrastructure comes down to asking the right kinds of questions, and developing a suite of analytics reports that carry back business intelligence on both historical and real...
Posted by Mary Shacklett | May 8, 2013, 5:21 AM PDT
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Big Data velocity: Now is the time
Technologies are coming onboard now that will help Big Data velocity efforts with built-in business rules, automation, and new ways to store and access data. Now the time for businesses to map out...
Posted by Mary Shacklett | April 22, 2013, 5:44 AM PDT
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Experts answer five critical big data questions
The era of big data is here and as more businesses realize the need to implement big-data-related solutions, more questions arise.
Posted by Teena Hammond | February 20, 2013, 12:34 PM PST | Latest comment by Robert Withers
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Three applications of M2M and Big Data
Will Kelly points out three areas where Machine to Machine (M2M) technologies and Big Data are coming to together to deliver business results.
Posted by Will Kelly | January 16, 2013, 11:18 AM PST
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Creating a data project using SQL Server Integration Services
Edmond Woychowski walks though the creation of a data project using SSIS, a data migration tool that is part of SQL Server Standard Edition or above.
Posted by Edmond Woychowsky | September 26, 2012, 9:16 AM PDT
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Preparing enterprise applications for Big Data
Before dashing off RFPs for a Big Data initiative or signing purchase orders on fancy new hardware and software, consider the readiness of your Enterprise Applications.
Posted by Patrick Gray | May 10, 2013, 5:29 AM PDT
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Directory: Big data vendors in the US
TechRepublic's directory of big data vendors has market, product, and contact information on companies that provide data analytics, data warehousing, or other "big data" products and services.
Posted by Bill Detwiler | November 20, 2012, 10:14 AM PST
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To get Big Data buy-in, IT should let go of proof of concept
If your company is currently experimenting with Big Data in an attempt to prove some sort of concept--interrupt this right away. If you're going to prove something--it better be value.
Posted by John Weathington | April 11, 2013, 5:01 AM PDT | Latest comment by johnweathington
