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Thinking Radically about Data Warehousing and Big Data: Interview with Roger Gaskell, CTO of Kognitio
Managing data—particularly in large numbers—still is and probably will be the number one priority for many organizations in the upcoming years. Many of the

big data hadoop  to face in doing big data management and analysis? Hadoop seems to becoming the de facto technology for “Big Data” processing. While the advantages may be clear (no license fees, open source, etc.), the barriers to entry can be large. Organizations considering Hadoop must realize that to implement a Hadoop environment and maintain its operation calls for a considerable engineering skill set and resource. Despite the need for this large engineering investment, many organizations are still willing to Read More
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Documents related to » big data hadoop


About Big Data
There may not be a consensus with respect to just how big

big data hadoop  Big Data There is no general consensus with respect to how big big data is—some companies deal with data volumes in the order of terabytes or even petabytes—but not many people will disagree that managing these huge amounts of data represents a challenge. It’s fair to say that we’re dealing with big data when traditional relational databases and systems are no longer sufficient. Things as simple as data storage and movement between repositories can have a big impact on the organization. Big Read More
IBM’s Big Data Strategy: Will the “Big Blue” Become the “Big Data” Company?
In a recent analyst briefing with IBM, the software and hardware provider revealed the details of its continued efforts to expand its big “big data” offerings

big data hadoop  Big Data Strategy: Will the “Big Blue” Become the “Big Data” Company? In a recent analyst briefing with IBM , the software and hardware provider revealed the details of its continued efforts to expand its big “big data” offerings. The three major announcements revealed by IBM are key to the company's efforts to consolidate its big data offerings and become the biggest player in the so-called big data space, but having to compete for the “big”gest piece of the pie with other major Read More
What’s the Big Deal with Big Data?
{democracy:89}I won’t define big data here, but it’s clear for all the IT community to see that big data is the latest “big thing.” Just Google or Bing the

big data hadoop  {democracy:89} I won’t define big data here, but it’s clear for all the IT community to see that big data is the latest “big thing.” Just Google or Bing the term “big data” and you’ll get an idea of the amount of information and resources available (about 1,460,000,000 and 67,000,000 hits, respectively). But in our continuous research and talks with both software vendors and customers, we receive varied input related to big data: as big as big data is, some organizations have prioritized Read More
Jaspersoft 4 Goes Big Data
On January 11, 2011, Jaspersoft launched a new version of its business intelligence (BI) suite named Jaspersoft 4, and just a couple of weeks later, on January

big data hadoop  4 Goes Big Data On January 11, 2011, Jaspersoft launched a new version of its business intelligence (BI) suite named Jaspersoft 4 , and just a couple of weeks later, on January 25, the open source BI provider launched a new set of software tools that provides support for a wider variety of data sources in the “Big Data” space . This is a clear sign that BI applications will come to address a wider number of data sources and expand the reach as well as the size of the information that BI Read More
Customer Data Integration: A Primer
Customer data integration (CDI) involves consolidation of customer information for a centralized view of the customer experience. Implementing CDI within a

big data hadoop  Data Integration: A Primer Originally published - August 22, 2006 Introduction Implementing a customer data management system can be the difference between success and failure in terms of leveraging an organization's customer relationship management (CRM) system. Since customers drive profitability, organizations need a way to provide their employees with a single view of the customer and to provide that customer with above-average customer service. Unfortunately, this is not always the case. Read More
Master Data Management and Accurate Data Matching
Have you ever received a call from your existing long-distance phone company asking you to switch to its service and wondered why they are calling? Chances are

big data hadoop  Data Management and Accurate Data Matching Have you ever received a call from your existing long-distance phone company asking you to switch to its service and wondered why they are calling? Chances are the integrity of its data is so poor that the company has no idea who many of its customers are. The fact is, many businesses suffer from this same problem. The solution: implement a master data management (MDM) system that uses an accurate data matching process. Read More
Tailoring SAP Data Management for Companies of All Sizes
The need for accurate data management such as upload or download of data between a company’s data sources and SAP systems is more critical than ever. Users are

big data hadoop  SAP Data Management for Companies of All Sizes The need for accurate data management such as upload or download of data between a company’s data sources and SAP systems is more critical than ever. Users are relying on manual operations, which are inherently error-prone, and time- and resource-intensive. Today's environment requires enterprise-class automation to overcome these challenges of data management. Learn about one solution that can help improve SAP data management. Read More
Demystifying Data Science as a Service (DaaS)
With advancements in technology, data science capability and competence is becoming a minimum entry requirement in areas which have not traditionally been

big data hadoop  will become the next big thing. India is now the third largest internet user after China and the U.S., and the Indian economy has been growing rapidly. Read this white paper to find out more about how data SaaS is set to become a vital part of business intelligence and analytics, and how India will play a role in this trend. Read More
Data Security Is Less Expensive than Your Next Liability Lawsuit: Best Practices in Application Data Security
Insecure data. Heavy fines due to non-compliance. Loss of customers and reputation. It adds up to a nightmare scenario that businesses want to avoid at all

big data hadoop  Security Is Less Expensive than Your Next Liability Lawsuit: Best Practices in Application Data Security Insecure data. Heavy fines due to non-compliance. Loss of customers and reputation. It adds up to a nightmare scenario that businesses want to avoid at all costs. However, this nightmare is preventable: knowledge base-driven data security solutions can be critical tools for enterprises wanting to secure not only their data—but also their status in the marketplace. Read More
Data Management Wish List: IT Is Open to Big Changes
Data management, access, and analysis haven’t always received the same amount of consideration, or respect, as the corporate applications that generate and

big data hadoop  IT Is Open to Big Changes Data management, access, and analysis haven’t always received the same amount of consideration, or respect, as the corporate applications that generate and consume the data. In recent years, however, information technology (IT) leaders have focused much more attention on their organizations’ data management platforms and capabilities. Download this white paper to get a better picture of the current data management landscape. Read More
Deploying High-density Zones in a Low-density Data Center
New power and cooling technology allows for a simple and rapid deployment of self-contained high-density zones within an existing or new low-density data center

big data hadoop  High-density Zones in a Low-density Data Center Deploying High-Density Zones in a Low-Density Data Center If you receive errors when attempting to view this white paper, please install the latest version of Adobe Reader. Together, APC’s global teams work to fulfill their mission of creating delighted customers. To do this, the Company focuses its efforts on four primary application areas: Home/Small Office; Business Networks; Data Centers and Facilities; and Access Provider Networks. Source Read More
Master Data Management: Extracting Value from Your Most Important Intangible Asset
In a 2006 SAP survey, 93 percent of respondents experienced data management issues during their most recent projects. The problem: many organizations believe

big data hadoop  mailing lists ' a big boon when per-piece production and shipping costs often exceed US$1.00. Master data management also enables product content management, which involves the requirements of rich product content management and cross-media catalog publishing. By leveraging product content management, you can consolidate, centrally manage, and publish disparate product data across your enterprise and among trading partners. With master data management, you can reduce marketing execution costs by flowing Read More
Protecting Critical Data
The first step in developing a tiered data storage strategy is to examine the types of information you store and the time required to restore the different data

big data hadoop  Critical Data The first step in developing a tiered data storage strategy is to examine the types of information you store and the time required to restore the different data classes to full operation in the event of a disaster. Learn how in this white paper from Stonefly. Read More
Big Machines for Big Problems? Not Necessarily.
GeoEye is the leading provider of map-accurate commercial imagery to the US military and intelligence community. In the past, GeoEye lived by the motto that

big data hadoop  Machines for Big Problems? Not Necessarily. GeoEye is the leading provider of map-accurate commercial imagery to the US military and intelligence community. In the past, GeoEye lived by the motto that “big problems require big machines.” However, this was presenting the company with significant—and escalating—cost and complexity issues. The solution: a self-managing and self-healing distributed computing environment that required no custom application development. Read More
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