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Big Data Storage for Big Data Analytics
Big Data Storage for Big Data Analytics

... Scale-out NAS Single NameSpace, Global NameSpace File System NAS gateway to SAN and Scale-out SAN Object-based Storage ...
Lecture 2 - The University of Texas at Dallas
Lecture 2 - The University of Texas at Dallas

CS331: Database Programming: Architectures and Issues
CS331: Database Programming: Architectures and Issues

... Extend query language with programming features (e.g., SQL-99, PL/SQL). Extend programming language with database ...
PRACTICAL 5
PRACTICAL 5

... MySQL is a widely used relational database management system, where data is stored in a series of related tables. MySQL has been developed on the client/server model and written in C++. MySQL is an interactive program that allows you to connect to a MySQL server, run queries and view results (it can ...
Chapter 4 - personal.kent.edu
Chapter 4 - personal.kent.edu

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Analyzing Performance of Hierarchical Queries in XED
Analyzing Performance of Hierarchical Queries in XED

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DISTRIBUTED DBMS ARCHITECTURE
DISTRIBUTED DBMS ARCHITECTURE

... If a number of databases already exist, and the design task involves integrating them into one database - the bottom-up approach is suitable for this type of environment. The starting point of bottom-up design is the individual local conceptual schemas. The process consists of integrating local sche ...
Data Exploration
Data Exploration

... A bivariate map: (1) rate of unemployment in 1997, either above or below the national average, and (2) rate of income change, 1996–1998, either above or below the national average. ...
dsmDB: A Distributed Shared Memory Approach for Building
dsmDB: A Distributed Shared Memory Approach for Building

... avoiding disk I/O. IMDBs were originally designed for specific classes of applications (e.g., telecommunication), but have been recently used in more general contexts (e.g., web servers, trading systems, content caches). In most cases, applications are limited by the memory capacity of the server ru ...
Object Oriented & Object Relational Databases
Object Oriented & Object Relational Databases

... Includes all the modeling concepts of ER Additionally includes oo concepts of – subclass, superclass, specialization and generalization, attribute and relationship inheritance ...
Distributed Database Design
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... Providing persistent storage Providing storage structures for efficient query processing Providing backup and recovery Providing multiple interfaces Representing complex relationships among data Enforcing integrity constraints Drawing inferences and actions Webster University ...
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select

... polygon to select features that fall inside or are intersected by the graphic • Examples: selecting restaurants within a onemile radius of a hotel, selecting land parcels that intersect a proposed highway, or finding owners of land parcels within a proposed nature reserve ...
Slides - SIGOPS
Slides - SIGOPS

... No change to the DBMS Portable: from Postgres to MySQL with 86 lines One-key: no change to applications Multi-user keys: annotations and login/logout ...
The rise of immutable data stores Some innovators are abandoning long-held database
The rise of immutable data stores Some innovators are abandoning long-held database

... systems of engagement. “Using document stores in business model transformation” considered the flexibility, capacity, and search and retrieval capability of document stores in applications such as Codifyd’s faceted search in web-scale e-commerce catalogs. “The promise of graph databases in public he ...
14. Lorel
14. Lorel

... execution begins at top of query plan each node in the plan requests a tuple at a time from its children and performs some operation on the tuple(s). pass result tuples up to parent. ...
Crystal Reports
Crystal Reports

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Visual Basic Database Access
Visual Basic Database Access

... • SQL Server database file extension: mdf • Default database folder: – A SQL Server file: testSQL08.mdf – C:\Program Files\Microsoft SQL Server\MSSQL.1\MSSQL\Data\testSQL08.mdf ...
Slide 2 - Villanova University
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... Embedded Approach: e.g embedded SQL (for C, C++, etc.), SQLJ (for Java) Procedure Call Approach: e.g. JDBC for Java, ODBC (Open Databse Connectivity) for other programming languages as API’s ...
A Complete Cross Platform Database Migration Guide
A Complete Cross Platform Database Migration Guide

... A migration is required when you wish to move an existing application system to another technology and/or platform. Migration includes moving objects, data and application code from one device to another—preferably without disrupting or disabling the active applications and then redirecting all inpu ...
mdean-rdfdbm
mdean-rdfdbm

... Expose each data source with an OWL representation of its native data model Use SWRL to represent structural transformations, unit conversions, etc. Support cross-product of producers and consumers Gold standard in terms of output quality ...
A metadata driven approach to performing complex heterogeneous
A metadata driven approach to performing complex heterogeneous

... Several approaches exist for migrating a software system such as Forward Migration Method and the Reverse Migration Method [2]. The Forward Migration Method migrates the database before the software, whereas the Reverse Migration Method migrates the software application first and the database migrat ...
Data and Database Administration
Data and Database Administration

... Describe problems and techniques for data security Describe problems and techniques for data recovery Describe database tuning issues and list areas where changes can be done to tune the database Describe importance and measures of data quality Describe importance and measures of data availability ...
ATLAS Distributed Computing - Indico
ATLAS Distributed Computing - Indico

... PanDA server which dynamically defines jobs from a task definition. The main goal is to make PanDA task-oriented.  Tables of the new JEDI complement the existing PanDA tables. New relations between the existing PanDA and the new set of JEDI tables are put in place. The transition from the current P ...
Teaching Scheme Business Information Technology/Software
Teaching Scheme Business Information Technology/Software

... methods of measuring database Reading: Elmasri(Appendix B) performance. B+-Tree Indexing 1(SMcK) Oracle — Controlling storage This lecture discusses a popular type of index structure. Why parameters is an index necessary? What is a multi-level index? What is This class will investigate Oracle’s a B+ ...
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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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