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Simple Databases
Simple Databases

... Installing SQLite3 on a Mac • On a recent OS you don’t have to, it is already there ...
PPT_ch08-is333 - Ms. Raghad Altikriti
PPT_ch08-is333 - Ms. Raghad Altikriti

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DATABASE MGMT SYSTEM (BCS 1423)
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... To understand the functionality of the transactions that will run on the database and to analyze the important transactions. • Attempt to identify performance criteria, such as: – transactions that run frequently and will have a significant impact on performance; – transactions that are critical to ...
Application of Python in Big Data
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... To analyze such a large volume of data, big data analytics is typically performed using specialized software tools and applications for predictive analytics, data mining, text mining, forecasting and data optimization. Collectively these processes are separate but highly integrated functions of high ...
Design and Implementation of Reflective SQL
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... and iteration to the query languages [1, 2, 5, 19]; (3) de ning new models and languages that can express database schema-independent queries by allowing table and column names themselves to be treated as data ...
The Third Manifesto - Computer Science Department
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Building a Spatial Database in PostgreSQL
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DATA WAREHOUSE - OIC
DATA WAREHOUSE - OIC

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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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