Home
 > search for

Featured Documents related to »  single data repository


Single Version of the Truth
Today's enterprise is no longer a single, vertically integrated organization. Globalization, outsourcing, and off-shoring have created an environment where end

single data repository  common view, even a single system of record, where key data is captured and stored concurrently versus sequentially. (See figure 1 below.) ( click here for larger verison ) Information Nirvana—Linking the Chain through the SVoT A key enabler for a virtual digital enterprise is an open environment for real time information sharing. This should ensure that all participants have access to product, customer, supplier, and other data that forms the fabric of the supply network. Ideally this information Read More...
Software Test Tools
Tools exist to support software testing at all stages of a project. Some vendors offer an integrated suite that will support testing and development throughout a project's life, from gatheri...
Start evaluating software now
Country:

 Security code
Already have a TEC account? Sign in here.
 
Don't have a TEC account? Register here.

Documents related to » single data repository


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

single data repository  in providing the proverbial single customer view. The ability to keep data cleansed and to monitor changes in data quality over time to improve the process is a critical success factor of CDI. Vendor Positioning The following represents a general listing of vendors within the CDI industry and their product functionality. This list is in no way comprehensive, and organizations should use this as a general guide rather than a potential vendor short list. Siperian Hub is a complete, integrated software Read More...
A Definition of Data Warehousing
There is a great deal of confusion over the meaning of data warehousing. Simply defined, a data warehouse is a place for data, whereas data warehousing

single data repository  years later. However, a single-subject data warehouse is typically referred to as a data mart, while data warehouses are generally enterprise in scope. Also, data warehouses can be volatile. Due to the large amount of storage required for a data warehouse, (multi-terabyte data warehouses are not uncommon), only a certain number of periods of history are kept in the warehouse. For instance, if three years of data are decided on and loaded into the warehouse, every month the oldest month will be rolled Read More...
1010data Big Data Warehouse
Designed originally to solve Big Data analytics problems for companies like the New York Stock Exchange, the 1010data platform is a unique approach to data

single data repository  analytics and provides a single repository for critical information assets. Read More...
The Evolution of a Real-time Data Warehouse
Real-time data warehouses are common in some organizations. This article reviews the basic concepts of a real-time data warehouse and it will help you determine

single data repository  different sources to one single site. Consider a real-time data warehouse as an enterprise data warehouse—this repository will be accessible for all business units across the organization. Some Players in the Real-time Data Warehouse Field There are several vendors in the data warehouse space. Some are big and offer very robust solutions. Others vendors are innovative and offer very state-of-the-art solutions. Here are some data warehouse vendors to consider when planning a real-time data warehouse Read More...
Appliance Power: Crunching Data Warehousing Workloads Faster and Cheaper than Ever
Appliances are taking up permanent residence in the data warehouse (DW). The reason: they are preconfigured, support quick deployment, and accelerate online

single data repository  Power: Crunching Data Warehousing Workloads Faster and Cheaper than Ever Appliances are taking up permanent residence in the data warehouse (DW). The reason: they are preconfigured, support quick deployment, and accelerate online analytical processing (OLAP) queries against large, multidimensional data sets. Discover the core criteria you should use to evaluate DW appliances, including performance, functionality, flexibility, scalability, manageability, integration, and extensibility. 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

single data repository  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. 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

single data repository  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...
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

single data repository  redundancy increases from the single additional unit required at low densities to a doubling of CRAC units at densities greater than 10 kW per rack. Row-oriented architecture provides redundancy at the row level. This requires an additional or N+1 CRAC unit for each row. Even though the row CRAC units are smaller and less expensive than room units, this is a significant penalty at light loads of 1-2 kW per rack. However, for higher density this penalty is eliminated and the N+1 approach is sustained up Read More...
10 Errors to Avoid When Building a Data Center
In the white paper ten errors to avoid when commissioning a data center, find out which mistakes to avoid when you're going through the data center...

single data repository  Errors to Avoid When Building a Data Center Proper data center commissioning can help ensure the success of your data center design and build project. But it's also a process that can go wrong in a number of different ways. In the white paper Ten Errors to Avoid when Commissioning a Data Center , find out which mistakes to avoid when you're going through the data center commissioning process. From bringing in the commissioning agent too late into the process, to not identifying clear roles for Read More...
MSI Data


single data repository  Data Read More...
Distilling Data: The Importance of Data Quality in Business Intelligence
As an enterprise’s data grows in volume and complexity, a comprehensive data quality strategy is imperative to providing a reliable business intelligence

single data repository  PowerCenter to create a single platform for data integration and data quality. Users can leverage Informatica's parallel processing–based partitioning option to run data quality and integration processes in parallel for high performance. Informatica's Data Explorer profiles individual columns, relationships within tables, and across tables, in order to identify data quality issues. Datanomic 's dn:Director provides a family of processors , which constitute a complete set of data quality functions. This Read More...
Data Center Projects: Advantages of Using a Reference Design
It is no longer practical or cost-effective to completely engineer all aspects of a unique data center. Re-use of proven, documented subsystems or complete

single data repository  Center Projects: Advantages of Using a Reference Design It is no longer practical or cost-effective to completely engineer all aspects of a unique data center. Re-use of proven, documented subsystems or complete designs is a best practice for both new data centers and for upgrades to existing data centers. Adopting a well-conceived reference design can have a positive impact on both the project itself, as well as on the operation of the data center over its lifetime. Reference designs simplify and Read More...
Data Center Projects: Project Management
In data center design projects, flawed management frequently leads to delays, expense, and frustration. Effective project management requires well-defined

single data repository  (repeated here) as a single bar spanning all phases. In practice, the responsibilities that comprise project management can be delegated, combined, split, subordinated, or outsourced in a variety of ways among the end user, the primary equipment supplier (APC in this case) or a third-party service provider. Figure 6 shows the breakdown of project management activity in the process that APC uses when it is engaged in a customer project as a supplier of hardware and services. While specific to the way Read More...

Recent Searches
A B C D E F G H I J K L M N O P Q R S T U V W X Y Z Others