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Software Functionality Revealed in Detail
We’ve opened the hood on every major category of enterprise software. Learn about thousands of features and functions, and how enterprise software really works.
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 abstract report on data backup


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

abstract report on data backup  , Snapshot Manager , Abstract Titled Auto Snapshot Manager , Hypervisor Aware Snapshots , Innovative Data Management Tool , Deploying Auto Snapshot Manager . Business critical applications depend on Relational Database Management Systems (RDBMS) to store and manage data that they collect, process, and report on. Since RDMBS must maintain data integrity as well as ensuring data availability and performance, it is critical that data be well protected and stored on high-performance, highly available storage

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Software Functionality Revealed in Detail

We’ve opened the hood on every major category of enterprise software. Learn about thousands of features and functions, and how enterprise software really works.

Get free sample report
Compare Software Solutions

Visit the TEC store to compare leading software by functionality, so that you can make accurate and informed software purchasing decisions.

Compare Now

Outsourcing, IT Infrastructure

The IT Infrastructure Outsourcing knowledge base focuses on the selection of companies who provide outsource services in the areas of information technology (IT) infrastructure. The typical types of activities that these providers perform include data center operations; network operations; backup/recovery services, data storage management services; system administration services; end user support of desktop PCs, laptops, and handheld devices; web site, or application hosting, etc.  

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Documents related to » abstract report on data backup

Understanding and Managing Supply Chain Risk


As supply chains continue to grow in size and complexity, companies are focusing more of their energies on managing supply chain risk. While the topic is gaining prominence in boardrooms, many companies do not yet fully comprehend the risks they face. But understanding risk is the first step to managing it—and using the right IT tools can help. Learn what steps you can take to better address your supply chain risks.

abstract report on data backup  is defined in the abstract as the possibility of loss in the real world. Used as a noun, risk can refer to physical property to be protected by an insurance contract, or to an entity to be ensured, either a person or a company. In the world of finance, the term covers a wide range of categories and nuances, but at the highest level it falls into two main categories ' systemic risk and nonsystemic risk. Systemic risks refer to those unique to a particular company, while nonsystemic risks are 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 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.

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Big Data: Operationalizing the Buzz


Integrating big data initiatives into the fabric of everyday business operations is growing in importance. The types of projects being implemented overwhelmingly favor operational analytics. Operational analytics workloads are the integration of advanced analytics such as customer segmentation, predictive analytics, and graph analysis into operational workflows to provide real-time enhancements to business processes. Read this report to learn more.

abstract report on data backup  Data: Operationalizing the Buzz Integrating big data initiatives into the fabric of everyday business operations is growing in importance. The types of projects being implemented overwhelmingly favor operational analytics. Operational analytics workloads are the integration of advanced analytics such as customer segmentation, predictive analytics, and graph analysis into operational workflows to provide real-time enhancements to business processes. Read this report to learn more. Read More

Data Quality Trends and Adoption


While much of the interest in data quality (DQ) solutions had focused on avoiding failure of data management-related initiatives, organizations now look to DQ efforts to improve operational efficiencies, reduce wasted costs, optimize critical business processes, provide data transparency, and improve customer experiences. Read what DQ purchase and usage trends across UK and US companies reveal about DQ goals and drivers.

abstract report on data backup  data quality solution,enterprise information management,enterprise information management strategy,enterprise information management definition,enterprise information management framework,enterprise information management software,data quality maturity,data quality software,open source data quality software,data quality,data quality tools,customer data quality,data quality metrics,data quality management,data quality objectives 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 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 unified view of the data terrain necessary to support big data and the real-time needs of innovative companies.

abstract report on data backup  big data,innovation,data management,data platforms,data ecosystems Read More

Meet PCI DSS Compliance Requirements for Test Data with Data Masking


Whether you’re working toward your first or your next payment card industry (PCI) data security standard (DSS) audit, you know compliance is measured on a sliding scale. But full compliance can’t be achieved with just one policy or technology. Using data masking, a technology that alters sensitive information while preserving realism, production data can be eliminated from testing and development environments. Learn more.

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Data Integration: Creating a Trustworthy Data Foundation for Business Intelligence


Organizations combine their historical data with current data from operational systems to satisfy business intelligence analysis and government reporting requirements. This paper discusses the importance of data integration and helps you identify key challenges of integrating data. It also provides an overview of data warehousing and its variations, as well as summarizes the benefits and approaches to integrating data.

abstract report on data backup  data integration,data integration software,data integration tools,customer data integration,data integration services,crm data integration,data integration solution,data integration tool,data integration solutions,what is data integration,data integration architecture,enterprise data integration,data integration companies,data integration company,data integration system Read More

Data Evolution: Why a Comprehensive Data Management Platform Supersedes the Data Integration Toolbox


Today’s organizations have incredible amounts of information to be managed, and in many cases it is quickly spiraling out of control. To address the emerging issues around managing, governing, and using data, organizations have been acquiring quite a toolbox of data integration tools and technologies. One of the core drivers for these tools and technologies has been the ever-evolving world of the data warehouse.

abstract report on data backup  data warehouse, data integration tools, data integration toolbox, big data management, data exploration tools, master data management, data management platform Read More

The World in Crisis: A Report on the Impact on Global Outsourcing Relations


As companies come to grips with current fiscal realities, choices may result more from reaction than the use of sound judgment. Removing vital resources and reducing services can create an even lower return on investment (ROI) than existed before downsizing. Outsourcing may offer a solution. Learn about the effects that the present financial situation will have on the outsourcing community, including buyers and suppliers.

abstract report on data backup  World in Crisis: A Report on the Impact on Global Outsourcing Relations As companies come to grips with current fiscal realities, choices may result more from reaction than the use of sound judgment. Removing vital resources and reducing services can create an even lower return on investment (ROI) than existed before downsizing. Outsourcing may offer a solution. Learn about the effects that the present financial situation will have on the outsourcing community, including buyers and suppliers. Read More

The Necessity of Data Warehousing


An explanation of the origins of data warehousing and why it is a crucial technology that allows businesses to gain competitive advantage. Issues regarding technology selection and access to historical 'legacy' data are also discussed.

abstract report on data backup  languages were needed to abstract some of the required coding, but 4GL's were still in their infancy. Most operational data is stored in what is referred to as an OLTP (On-Line Transaction Processing) system. These systems are specifically designed for high levels of transaction volume with many concurrent users. If the database is relational, it has probably been normalized (the process of organizing data in accordance with the rules of a relational database). If the database is non-relational, custom Read More

The Value of Big Data


As the use of big data grows, the need for data management will also grow. Many organizations already struggle to manage existing data. Big data adds complexity, which will only increase the challenge. This white paper looks at what big data is, the value of big data, and new data management capabilities and processes, required to capture the promised long-term value.

abstract report on data backup  big data,data management,analytics,SAP Read More

A Solution to Data Capture and Data Processing Challenges


Organizations are relying more and more on customer information to drive business processes. You probably spend a lot of time trying to make sure you get the right information to the right people at the right time—but is your data capture process as efficient as it could be? Learn about the issues surrounding data capture and data processing, and about a solution designed to help you address specific processing problems.

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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 decisions. Faulty data also hinders the successful integration of data from a variety of data sources. But with a sound data quality methodology in place, you can integrate data while improving its quality and facilitate a master data management application—at low cost.

abstract report on data backup  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

Informatica PowerCenter 5 Enables Enterprise Data Integration


Informatica Corporation’s Informatica PowerCenter 5 is a platform for integrating data to be deployed in e-Business applications, analytic applications and data warehouses, including a wide range of data sources, from enterprise resource planning (ERP) systems such as SAP R/3 and PeopleSoft, to web logs and Siebel applications. Market validation of its offerings is shown in a record Q4 of 2000, with a 150% increase in revenue over the previous year.

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