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Data Leak versus Data Flood: Problems Addressed by Data Leakage and Data Breach Solutions
Data leakage and data breach are two disparate problems requiring different solutions. Data leakage prevention (DLP) monitors and prevents content from leaving

data warehousing dictionary template  Leak versus Data Flood: Problems Addressed by Data Leakage and Data Breach Solutions Data leakage and data breach are two disparate problems requiring different solutions. Data leakage prevention (DLP) monitors and prevents content from leaving a company via e-mail or Web applications. Database activity monitoring (DAM) is a data center technology that monitors how stored data is accessed. Learn why DAM complements DPL, and how you can benefit by making it part of your overall data security strategy. Read More...

Big Data Comes of Age: Shifting to a Real-time Data Platform
New data sources are fueling innovation while stretching the limitations of traditional data management strategies and structures. Data warehouses are giving

data warehousing dictionary template  Data Comes of Age: Shifting to a Real-time Data Platform New data sources are fueling innovation while stretching the limitations of traditional data management strategies and structures. Data warehouses are giving way to purpose-built platforms more capable of meeting the real-time needs of more demanding end users and the opportunities presented by big data. Read this white paper to learn more about the significant strategy shifts underway to transform traditional data ecosystems by creating a Read More...
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Reporting and Analysis, Analytics, Data Warehousing, Workflow, Data Integration, Support, and System Requirements
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Documents related to » data warehousing dictionary template


Unified Data Management: A Collaboration of Data Disciplines and Business Strategies
In most organizations today, data are managed in isolated silos by independent teams using various data management tools for data quality, integration

data warehousing dictionary template  Data Management: A Collaboration of Data Disciplines and Business Strategies In most organizations today, data are managed in isolated silos by independent teams using various data management tools for data quality, integration, governance, and so on. In response to this situation, some organizations are adopting unified data management (UDM), a practice that holistically coordinates teams and integrates tools. This report can help your organization plan and execute effective UDM efforts. Read More...
The Path to Healthy Data Governance
Many companies are finally treating their data with all the necessary data quality processes, but they also need to align their data with a more complex

data warehousing dictionary template  Path to Healthy Data Governance This article is based on the presentation, “From Data Quality to Data Governance,” by Jorge García, given at ComputerWorld Technology Insights in Toronto, Canada, on October 4, 2011. Modern organizations recognize that data volumes are increasing. More importantly, they have come to realize that the complexity of processing this data has also grown in exponential ways, and it’s still growing. Many companies are finally treating their data with all the necessary Read More...
Data Governance: Controlling Your Organization’s Mission-critical Information
Controlling your company’s key information through data governance is more than just good practice—it can make the difference between success and failure at

data warehousing dictionary template  Information If you think data governance is something dry and remote, think again. When it comes to compliance, data governance can help your company avoid hefty fines and even jail terms for its senior executives. In terms of customer service, data governance can reduce customer churn while giving your company a decisive competitive edge. And as for supply chain management, data governance can help your company understand what products are selling, what products are in stock, and what products are on 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 warehousing dictionary template  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...
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

data warehousing dictionary template  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...
Automate to Optimize: The Foundation for Data Center Efficiency
IT administrators need to simplify both complex and routine tasks to deliver increasing value with limited resources. Data center automation can help minimize

data warehousing dictionary template  Optimize: The Foundation for Data Center Efficiency Automate to Optimize : The Foundation for Data Center Efficiency If you receive errors when attempting to view this white paper, please install the latest version of Adobe Reader. Today’s heterogeneous enterprise data center environments are quickly growing in size and complexity, driven by mergers and acquisitions, expansion into multiple data centers, and large-scale initiatives such as server and storage consolidation. Source : Tidal Software Read More...
Accelerating Data Migration with WAN Optimization
Migrating large amounts of data over distance can be costly and time consuming. It's also necessary for IT tasks such as remote office backup, data center moves

data warehousing dictionary template  Data Migration with WAN Optimization Migrating large amounts of data over distance can be costly and time consuming. It's also necessary for IT tasks such as remote office backup, data center moves, and cloud computing models. The good news is that wide-area network (WAN) optimization gets the job done effectively, efficiently, and affordably. Read this technology brief to learn how. Read More...
The Advantages of Row- and Rack-oriented Cooling Architectures for Data Centers
The traditional room-oriented approach to data center cooling has limitations in next-generation data centers. Next-generation data centers must adapt to

data warehousing dictionary template  Rack-oriented Cooling Architectures for Data Centers The Advantages of Row and Rack-Oriented Cooling Architectures for Data Centers If you receive errors when attempting to view this white paper, please install the latest version of Adobe Reader. In today's always on, always available world where businesses can't stop and downtime is measured in dollars, American Power Conversion (APC) provides protection against some of the leading causes of downtime, data loss and hardware damage: power problems Read More...

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