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Remotely administered over 100 production databases, at various
Remotely administered over 100 production databases, at various

... Queensland Department of Public Works (2008) (as a consultant for Dialog Information Technology) Role: Business Analyst – Online Analytical Processing Skills Used: Data warehousing, Data Cube, Data Analysis, financial modeling Achievements: Designed, developed and implemented OLAP financial reports ...
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... Analyse design processes and solutions against student developed criteria Explore techniques for acquiring, storing and validating quantitative and qualitative data (ACTDIP036) Different methods of manipulation, storage and transmission of data (ACTDIK035) Validate algorithms and programs using comm ...
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Introduction to MS Access - San Francisco State University

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PPTX - University of Connecticut
PPTX - University of Connecticut

dba - Birkbeck, University of London
dba - Birkbeck, University of London

... ‘workstation' rooms providing a range of application software under MS Windows 2003 (including word-processing, spreadsheet, database management, statistical analysis, graphics, and programming languages).  Promotion and support of learning technology (including central support for the WebCT / Blac ...
The Role of a DBA on an Agile Project
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... If your project uses continuous integration, the integration server is likely tearing down, rebuilding and redeploying the application with each source code check-in. The database objects should be included in these steps. With each check-in, tear down and rebuild as many of the application’s databa ...
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Don't Bring a Spreadsheet to a Database Fight: Case for Microsoft Access

... when it is actually updated. At that moment values can be checked and based on the results, changes can be cancelled, users can be prompted to confirm the changes, or other values can be changed as a result of the update. The possibilities for what one can accomplish using events and associated acti ...
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... processes across multiple locations. Distributed database management systems (DDBMS) are designed to meet the information requirements of such multi-location organizations. A DDBMS manages the storage and processing of logically related data over interconnected computer systems in which both data an ...
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... cooperation with a person who does have expertise in that domain, and who is aware of what data must be stored within the system. https://store.theartofservice.com/the-database-design-toolkit.html ...
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Clusterpoint

Clusterpoint is a privately held European technology company developing and supporting Clusterpoint database software platform. Company was co-founded by software engineers with expertise in Big data computing. Founders were dissatisfied with complexity, scalability and performance limitations of relational database architecture. The first version of the product was released in 2006. Company is venture capital backed.Clusterpoint database is a document-oriented database server platform for storage and processing of XML and JSON data in a distributed fashion on large clusters of commodity hardware. Database architecture blends ACID-compliant OLTP transactions, full-text search and analytics in the same code, delivering high availability and security.Clusterpoint database enables to perform transactions in a distributed document database model in the same way as in a SQL database. Users can perform secure real-time updates, free text search, analytical SQL querying and reporting at high velocity in very large distributed databases containing XML and JSON document type data. Transactions are implemented without database consistency issues plaguing most of NoSQL databases and can safely run at high-performance speed previously available only with relational databases. Real time Big data analytics, replication, loadsharing and high-availability are standard features of Clusterpoint database software platform.Clusterpoint database enables web-style free text search with natural language keywords and programmable relevance sorting of results. Constant and predictable search response time with latency in milliseconds and high quality of search results are achieved using policy-based inverted indexation and unique relevance ranking method. Database also supports essential SQL query, that can be combined with free text search in a single REST API.For most of its history Clusterpoint was servicing business customers as an enterprise software vendor.In January 2015 Clusterpoint changed the licensing policy to free software license version. From February 2015 Clusterpoint database is available as a cloud service (DBAAS). The latest Clusterpoint database production version is 3.0, released in February, 2015.
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