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OLAP - Computer Science
OLAP - Computer Science

... OLAP is the dynamic synthesis, analysis, and consolidation of large volumes of multi-dimensional data. OLAP is the term that describes a technology that uses multidimensional view of aggregate data to provide quick access to strategic information for the purposes of advanced analysis. OLAP enables u ...
Data Warehousing and Business Intelligence
Data Warehousing and Business Intelligence

... the various source data necessary for the operation of the data warehouse. Data Acquisition is performed between several components of the warehouse, including operational and external data sources to data warehouse, data warehouse to data mart, and data mart to individual marts. Early in the Data A ...
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... 1. Application issues query, intercepted by proxy and rewritten. 2. If necessary, adjust column encryption level. 3. Proxy sends encrypted query to DBMS for execution. 4. Encrypted result returned, proxy decrypts, returns to application. ...
Energy Consumption Management In Cloud Computing And
Energy Consumption Management In Cloud Computing And

... execution in a timely manner. The interconnection of switches and servers requires different cabling solutions depending on the supported bandwidth, physical and quality characteristics of the link. The quality of signal transmission in a given cable determines a tradeoff between transmission rate a ...
Brocade 2007 - More than Fibre Channel SANs
Brocade 2007 - More than Fibre Channel SANs

... especially in heterogeneous environments. Brocade DMM, which runs on the AP7420 application platform from the Rhapsody acquisition (see above), migrates block data in heterogeneous environments over a SAN. It does this either online (maintaining user access) or offline (for faster migrations) and is ...
Market Demand Sample Report
Market Demand Sample Report

... segment potential and customer size demographics. These three data slices give you insight into total market potential and your market share by customer type and size. ...
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Sell Side

... KY3P revolves around five key elements. The first is the aggregation of company profiles (financial information, products, and people). It also stores and organizes external audit reports from third parties, notifies clients of the latest industry events, and provides standard and simplified questio ...
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File Processing

... address pointers  Links generated when data is entered  Efficient but not flexible  Ad hoc design  Query dependent on specific DBMS (may support SQL) ...
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... architectures where each request is simultaneously sent to multiple server instances and client selects first successful, quorum, or other strategy, thereby boosting service availability ...
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... Indeed, the same base data, e.g., the movement of goods in a (real) warehouse, may often find its way into three cubes of different types, e.g., warehouse flow, warehouse inventory, and warehouse flow in year-to-date. Measures A measure has two components: a numerical property of a fact, e.g., the s ...
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... Since no one type of NoSQL database neither satisfies all business requirements, innovators and venture capitalists will continue to invest in newer NoSQL iterations and variations. This will just add to the confusion over the next four or five years while all this slowly sorts out. Thus, while the ...
PDL Back-up Policy - Panjab Digital Library
PDL Back-up Policy - Panjab Digital Library

... offer some type of snapshot capability. Software vendors with volume management capabilities, such as Microsoft and Veritas, also provide snapshot functionality. INCREMENTAL CAPTURE - Vendors in this category can replace existing backup technologies or co-exist with them. Incremental capture solutio ...
Moving Object Databases — Dynamic Flight Route
Moving Object Databases — Dynamic Flight Route

... object’s correct location, database need to be updated frequently. This means capacity gets overflow eventually. So, new data types need to be used to make the system stable. The solution is to unite spatial and temporal data. It’s called spatio-temporal data. Also, this type of database is called m ...
Multimedia Systems: ADCS 3
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... are frequently used are stored on disk drives, but are eventually migrated to tape if they are not used for a certain period of time, typically a few months. • If a user does reuse a file which is on tape, it is automatically moved back to disk storage. ...
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Due (Data) Diligence: Study Data Review for Acquisitions
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... FDA has emphasized that submission of standardized study data and documentation packages expedites review and helps get drugs to patients faster. The FDA has supported efficient use of standardized data and documentation by training staff in data standards, creating tools that leverage standardized ...
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Practial Applications of DataMining

... for intruding and attacking networks have prompted intrusion detection to become a critical component of network administration. The following are areas in which data mining technology may be applied or further developed for intrusion detection: 1. Development of data mining algorithms for intrusion ...
Parallel Query Processing
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... above should be furnished within seven working days on being satisfied that the transaction is suspicious. The information in respect of immoveable property transactions referred to in (g) above should be furnished to FIU-IND every quarter by the 15th day of the month succeeding the quarter. All oth ...
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Using R with databases

... Data within R and data stored in relational databases both have a defined type or structure. It is important to understand the various data types and how to map values properly. R has a very limited set of base data types including: characters, numeric (integers and doubleprecision floating point va ...
Aim 4 application/vnd.openxmlformats-officedocument
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... CFDs, CTANE works well when a given relation is large, but it does not scale well with the arity of the relation. Fast CFD is far more efficient than CTANE when the arity of the relation is large; better still, leveraging optimization based on closed-items et mining, Fast CFD also scales well with t ...
News advisory: HP Unveils Fastest, Simplest Path to Virtualization
News advisory: HP Unveils Fastest, Simplest Path to Virtualization

... turn data into business insight by augmenting existing enterprise data warehouse environments to scale analytics at high speed. The new HP ConvergedSystem offerings are hyper-efficient systems designed to meet enterprise-grade requirements. Based on best practice configurations, they deliver riskfre ...
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Business intelligence

Business intelligence (BI) is the set of techniques and tools for the transformation of raw data into meaningful and useful information for business analysis purposes. BI technologies are capable of handling large amounts of unstructured data to help identify, develop and otherwise create new strategic business opportunities. The goal of BI is to allow for the easy interpretation of these large volumes of data. Identifying new opportunities and implementing an effective strategy based on insights can provide businesses with a competitive market advantage and long-term stability.BI technologies provide historical, current and predictive views of business operations. Common functions of business intelligence technologies are reporting, online analytical processing, analytics, data mining, process mining, complex event processing, business performance management, benchmarking, text mining, predictive analytics and prescriptive analytics.BI can be used to support a wide range of business decisions ranging from operational to strategic. Basic operating decisions include product positioning or pricing. Strategic business decisions include priorities, goals and directions at the broadest level. In all cases, BI is most effective when it combines data derived from the market in which a company operates (external data) with data from company sources internal to the business such as financial and operations data (internal data). When combined, external and internal data can provide a more complete picture which, in effect, creates an ""intelligence"" that cannot be derived by any singular set of data.
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