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How to Protect Your SQL Server Database
SQL Server deployments can be large and complex. However, Auto-Snapshot Manager simplifies data management tasks and offers a comprehensive approach to SQL

data mining net  for backup, recovery, and data mining operations to take place without affecting the performance or availability of online applications. Shadow Copies ' commonly known as Snapshots, are point-in-time copies of a volume or collection of volumes. Snapshots preserve the state of a volume at a specific instance and can be retained for future use ' particularly for instant copy and quick recovery operations utilizing vendor-supported snapshot technologies. Two types of copies can be made: 1) clones, which are Read More...
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Documents related to » data mining net


Processing Complex Events (During These, oh well, Complex Times) - Part III
Part I of this blog series introduced the concept of complex event processing (CEP) and possible needs for CEP software applications. One such broad CEP

data mining net  or conduct the sophisticated data mining that predictive analytics  can do. CEP is neither based on artificial intelligence (AI) methods such as artificial neural networks , nor on Bayesian inference , nor on other advanced algorithms. Notable Competition in a Still-budding Market As the early 2008 article from IT-Director estimated , in addition to Progress Apama, StreamBase Systems and  Aleri and Coral8 ( soon to be one firm ) are other notable players in the capital markets segment. Moreover, in Read More...
Interelate: More on Tap Than Apps
Interelate, a customer intelligence ASP, recently announced partnerships with infrastructure service provider LoudCloud and CRM analytics vendor E.piphany

data mining net  and industry expertise in data analysis, database marketing, analytics, and CRM to deliver an analytical CRM service to its customers. Analytical CRM functions include data mining, campaign management, personalization, and click stream analysis. Interelate provides its clients with customer analytics, proprietary and 3rd party data models and scoring, data mining, campaign management, personalization, and real-time recommendation capabilities. This is done by pulling data from its client's customer and Read More...
PeopleSoft Keeps Truckin’ On A Potholed Road Ahead
In spite of the impression that currently PeopleSoft can do nothing wrong, many users of the older versions of its products might be bracing themselves for a

data mining net  connections or to export data elsewhere (e.g. MS Excel or Access) and work offline. But particularly encouraging for the company should be the success of its supply chain management (SCM) campaign. These applications are currently among its fastest selling products, possibly trailing only the analytic applications. This should be attributed to a sharp focus on specific vertical markets, such as consumer products, wholesale distribution, and high-tech manufacturing, and to aptly predefined solutions and Read More...
i2 Technologies Gets Reporting Help From Hyperion
i2’s decision to integrate Hyperion Essbase into its TradeMatrix™ applications is a welcome event for users.

data mining net  Hyperion Essbase lies in data mining capabilities. i2 does plan to offer data mining using software acquired through its alliance with IBM, but a specific offering has yet to be announced. Read More...
Six Steps to Manage Data Quality with SQL Server Integration Services
Without data that is reliable, accurate, and updated, organizations can’t confidently distribute that data across the enterprise, leading to bad business

data mining net  Steps to Manage Data Quality with SQL Server Integration Services Melissa Data's Data Quality Suite operates like a data quality firewall ' instantly verifying, cleaning, and standardizing your contact data at point of entry, before it enters your database. Source : Melissa Data Resources Related to Six Steps to Manage Data Quality with SQL Server Integration Services : Data quality (Wikipedia) Six Steps to Manage Data Quality with SQL Server Integration Services Data Quality is also known as : Read More...
Implementing Energy-Efficient Data Centers
But in the white paper implementing energy-efficient data centers, you'll learn how to save money by using less electricitywhether your data cente...

data mining net  Energy-Efficient Data Centers Did you realize that your data center(s) may be costing you money by wasting electricity ? Or that there are at least 10 different strategies you can employ to dramatically cut data center energy consumption ? The fact is, most data centers are not designed with energy efficiency in mind. But in the white paper Implementing Energy-efficient Data Centers , you'll learn how to save money by using less electricity—whether your data centers are still in the design Read More...
The Teradata Database and the Intelligent Expansion of the Data Warehouse
In 2002 Teradata launched the Teradata Active Enterprise Data Warehouse, becoming a key player in the data warehouse and business intelligence scene, a role

data mining net  Intelligent Expansion of the Data Warehouse In 2002 Teradata launched the Teradata Active Enterprise Data Warehouse, becoming a key player in the data warehouse and business intelligence scene, a role that Teradata has maintained until now. Teradata mixes rigorous business and technical discipline with well-thought-out innovation in order to enable organizations to expand their analytical platforms and evolve their data initiatives. In this report TEC Senior BI analyst Jorge Garcia looks at the Teradata Read More...
The Fast Path to Big Data
Today, most people acknowledge that big data is more than a fad and is a proven model for leveraging existing information sources to make smarter, more

data mining net  Fast Path to Big Data Today, most people acknowledge that big data is more than a fad and is a proven model for leveraging existing information sources to make smarter, more immediate decisions that result in better business outcomes. Big data has already been put in use by companies across vertical market segments to improve top- and bottom-line performance. As unstructured data becomes a pervasive source of business intelligence, big data will continue to play a more strategic role in enterprise Read More...
Data Mining with MicroStrategy: Using the BI Platform to Distribute Data Mining and Predictive Analytics to the Masses
Data mining and predictive analysis applications can help you make knowledge-driven decisions and improve efficiency. But the user adoption of these tools has

data mining net  BI Platform to Distribute Data Mining and Predictive Analytics to the Masses Data mining and predictive analysis applications can help you make knowledge-driven decisions and improve efficiency. But the user adoption of these tools has been slow due to their lack of business intelligence (BI) functionality, proactive information distribution, robust security, and other necessities. Now there’s an integrated enterprise BI system that can deliver data mining and predictive analysis. Learn more. Read More...
Garbage in, Garbage out: Getting Good Data out of Your BI Systems
Find out in Garbage In, Garbage Out: Getting Good Data Out of Your BI Systems.

data mining net  Garbage out: Getting Good Data out of Your BI Systems Garbage in, garbage out. Poor quality data leads to bad business decisions. You need high quality data in your business intelligence (BI) system to facilitate effective analysis—to make the right decisions at the right time. But how do you achieve this? Find out in Garbage In, Garbage Out: Getting Good Data Out of Your BI Systems . In this Focus Brief , you'll learn about the steps in the data delivery cycle, the problems can occur at each step, Read More...
Data Migration Best Practices
Large-scale data migrations can be challenging, but with the appropriate planning—and through careful execution of that plan—organizations can greatly reduce

data mining net  Migration Best Practices Large-scale data migrations can be challenging, but with the appropriate planning—and through careful execution of that plan—organizations can greatly reduce the risks and costs associated with these projects. This paper offers a handy checklist of issues to consider before, during, and after migration. Read More...
Increasing Sales and Reducing Costs across the Supply Chain-Focusing on Data Quality and Master Data Management
Nearly half of all US companies have serious data quality issues. The problem is that most are not thinking about their business data as being valuable. But in

data mining net  the Supply Chain-Focusing on Data Quality and Master Data Management Nearly half of all US companies have serious data quality issues. The problem is that most are not thinking about their business data as being valuable. But in reality data has become—in some cases—just as valuable as inventory. The solution to most organizational data challenges today is to combine a strong data quality program with a master data management (MDM) program, helping businesses leverage data as an asset. Read More...
Types of Prefabricated Modular Data Centers
Data center systems or subsystems that are pre-assembled in a factory are often described with terms like prefabricated, containerized, modular, skid-based, pod

data mining net  of Prefabricated Modular Data Centers Data center systems or subsystems that are pre-assembled in a factory are often described with terms like prefabricated, containerized, modular, skid-based, pod-based, mobile, portable, self-contained, all-in-one, and more. There are, however, important distinctions between the various types of factory-built building blocks on the market. This paper proposes standard terminology for categorizing the types of prefabricated modular data centers, defines and Read More...

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