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Big Data Analytics
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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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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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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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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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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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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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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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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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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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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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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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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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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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Big Data in your call center: Managing the numbers
The data collected by your call center software is huge and varied. But which metrics matter and how can you make changes based on those metrics?
Posted by Guest Contributor | May 1, 2013, 5:08 AM PDT
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Hadoop: Expect enhanced performance soon
One by one, tech industry sectors and technologies are lining up with solutions that will continue to enrich Hadoop performance in the data center.
Posted by Mary Shacklett | April 29, 2013, 4:49 AM PDT
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Get a woman's touch on your Big Data team
If there's a gender imbalance on your Big Data strategy team, you're doing yourself a great disservice.
Posted by John Weathington | April 24, 2013, 5:19 AM PDT | Latest comment by ms.spock
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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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Three areas of concern for Big Data in the data center
Big Data is not just a tool for business analysis. it can also be a helpful tool to improve the data center.
Posted by Patrick Gray | April 17, 2013, 5:39 AM PDT
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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.
Posted by Mary Shacklett | April 15, 2013, 6:28 AM PDT
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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
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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
-
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
-
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
-
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
-
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
-
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
-
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
-
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
-
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
-
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@...
-
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
-
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
