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Beyond RDBMS: a rough guide to NoSQL databases
Beyond RDBMS: a rough guide to NoSQL databases

... ▪ What types of questions do you need to ask your database and how long can you wait for answers? ▪ What choice did you make around CAP and what are your durability needs? ▪ Does all your data fit in RAM? − You can have a TB of RAM in a box if your wallet is big enough ▪ Do you want to scale horizon ...
XML Framework
XML Framework

... XML has grown to become an open platform for manufacturers to share information internally and with their business partners. XML has become the key to extended ERP as it provides manufacturers with the tools they need to integrate various internal applications—ERP, supply chain and more—as well as e ...
Metadata checklist for authors delivering metadata for graphs
Metadata checklist for authors delivering metadata for graphs

... *Link to the original delivery (e.g. on CIRCA): *Unit: Mt of CO2-equivalent *Methodology: EEA, Greenhouse gas emission trends and projections in Europe ...
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Lec. notes

... • ER design is subjective. There are often many ways to model a given scenario! Analyzing alternatives can be tricky, especially for a large enterprise. Common choices include: • Entity vs. attribute, entity vs. relationship, binary or nary relationship, whether or not to use ISA hierarchies • Ensur ...
Both thefdcghvhjkj - Department of Physics, Computer Science and
Both thefdcghvhjkj - Department of Physics, Computer Science and

... approach. Zhang & Scofield (1994) used neural network groups in the development of a rainfall estimation expert system. Zhang & Fulcher (1996b) developed GAT - a neural network Group based Adaptive Tolerance tree - to recognize human faces. A neural network group model for rainfall estimation was su ...
Weighted Average Cost of Capital (WACC)
Weighted Average Cost of Capital (WACC)

... So, although two companies have the same business risk, if they have different gearing levels then the equity beta will be different. Definition: Undiversifiable risk “Risk which is common to an entire class of assets or liabilities. The value of investments may decline over a given time period simp ...
Implementing a Taxonomy
Implementing a Taxonomy

... Implementing a Taxonomy – White Paper. December 2002. v 1.0 ...
Ray Smith, PHE - Practical lessons from Payment by
Ray Smith, PHE - Practical lessons from Payment by

... • Government analysts have identified a considerable level of unexplained variance (chance/luck) in some outcome data, which cannot be adjusted for. If performance is significantly affected by chance/luck, the outcome data is unlikely to be a robust reflection of provider input. ...
Introduction to GIS - University of Vermont
Introduction to GIS - University of Vermont

... operators? •What’s the difference between “new selection,” “select from current selection,” and “add to current selection?” •How do these methods relate to AND and OR queries? •What can we do with selections once the query is run? ...
Customer Segmentation based on Neural Network with Clustering
Customer Segmentation based on Neural Network with Clustering

... by eliminating features that are either redundant or possess little predictive information. If we extract as much information as possible from a given data set while using the smallest number of features, not only can we save a great amount of computing time and cost, but also we can build a model t ...
Project Description Userspace Deduplication File System using FUSE
Project Description Userspace Deduplication File System using FUSE

... components. This layer includes the FUSE file system interface and will provide support for all of the required VFS API functions. There are generally three types of calls that can be made into this layer: data write operations, data read operations, and metadata operations. Your design should consi ...
PPT - MIT
PPT - MIT

... Customers and their partners/suppliers/customers can connect their IT systems and expose only the data that is intended to be exposed. – TCPA is designed so that platform identities and Integrity Metrics can be proven reliably to previously unknown parties. – Secure online discovery of platforms and ...
Cisco - Cisco Sourcefire AMP
Cisco - Cisco Sourcefire AMP

... Elastic Search is the ability to use the indicators generated by Behavioral IoCs to monitor and search for threats across an environment ...
Microsoft SQL Server 2005 Database Encryption Step-by-Step
Microsoft SQL Server 2005 Database Encryption Step-by-Step

... Msg 15282, Level 16, State 1, Line 1 A key with name 'PasswordFieldSymmetricKey' or user defined unique identifier already exists or you do not have permissions to create it. In the above CREATE SYMMETRIC KEY t-sql statement one important point is the algorithm parameter that is specified in the com ...
relational databases SQL example: create, describe, insert, select
relational databases SQL example: create, describe, insert, select

... • a table can be thought of as a spreadsheet, where the fields are columns in the spreadsheet, and the records are rows • records can have “unique” fields, which are called keys • if a record does not have a value for a particular field, then a NULL value is entered • “relational” databases consist ...
XML-OLAP: A Multidimensional Analysis
XML-OLAP: A Multidimensional Analysis

... An online analytical processing (OLAP) system is a powerful data analysis tool for decision-making [11]. It provides an analysis from multiple perspectives or dimensions for a large amount of data residing in a data warehouse. Data warehouses are commonly organized with one large fact table and mult ...
Security Architecture Vulnerabilities, Threats, and Countermeasures
Security Architecture Vulnerabilities, Threats, and Countermeasures

... (that is, one with more than one CPU) harnesses the power of more than one processor to complete the execution of a single application. For example, a database server might run on a system that contains three processors. If the database application receives a number of separate queries simultaneousl ...
Optimization Techniques for Processing Large Files in an OpenVMS
Optimization Techniques for Processing Large Files in an OpenVMS

... set up a disk for that purpose and define a system-wide logical pointing to the work area. The logical should be ...
Hibernatification!
Hibernatification!

... • Subscription based website which aggregates and organizes state regulatory data and other data in an easy-to-use format. • We employ many different loaders which download data from state agencies and from other sources. • We have a huge database (10 GBs of data at last count?) of information which ...
Gonito.net – open platform for research competition, cooperation
Gonito.net – open platform for research competition, cooperation

... This paper presents the idea of applying an open source, web-based platform – Gonito.net – for hosting challenges for researchers in the field of natural language processing. Researchers are encouraged to compete in well-defined tasks by developing tools and running them on provided test data. The r ...
PowerPoint **
PowerPoint **

... • The exchange of data blocks between the host system and storage is governed by the SCSI protocol. • The SCSI protocol is implemented in a client/server model. • The SCSI protocol is responsible for block exchange but does not define how data blocks will be placed on disk. • Multiple instances of S ...
Top 10 Analytics Trends in India to watch out for in 2017
Top 10 Analytics Trends in India to watch out for in 2017

... thereby giving organizations options to develop their own algorithms, while leveraging the existing ones, in case of customized needs giving them better control. In contrast to legacy data platforms, open source projects tend to evolve much quickly in response to the ever-changing business environme ...
Generalized Multidimensional Association Rules 1 Introduction
Generalized Multidimensional Association Rules 1 Introduction

... Ei 2 E . Cm (1  m  k ) is categorical attribute (denoted as C -type attribute) and Dn (1  n  l) is quantitative value attribute with an unbounded domain (denoted as D-type attribute). We call a transaction database with N attributes N -dimensional transaction database, or multidimensional transa ...
Development and Evaluation of a Multimedia Collocation Retrieval System for
Development and Evaluation of a Multimedia Collocation Retrieval System for

... language, based on the mass supply of multimedia contents currently available on the web[2,3]. Our definition of multimedia collocation is based on the text data combined with speech and video information recorded synchronous to the text data; namely, collocation in the multimedia context. We argue ...
document-centric XML - McGraw Hill Higher Education
document-centric XML - McGraw Hill Higher Education

... underlying many relational databases. • As a result, storing your XML data in a SQL database can be more complicated than retrieving XML results back from a database. • The most difficult part can be identifying a workable mapping from the nested data structures in XML documents to flat relational t ...
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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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