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Profile Documents Logout
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Introduction to SAS/ACCESS Software
Introduction to SAS/ACCESS Software

... alternate way to pass statements to the DBMS. You can connect to a DBMS(s) and disconnect from it, pass an SOL SELECT query that can be stored in a SAS data view, and can execute SQL statements available to the DBMS. ...
MySQL CLUSTER
MySQL CLUSTER

1411_Lecture3
1411_Lecture3

... Introduction to LINQ Chapter 11 Lecture 3 ...
F/gs/gAQRIBUHON % % % % ARE EQUALLY DISTRIBUTED T0
F/gs/gAQRIBUHON % % % % ARE EQUALLY DISTRIBUTED T0

... Pat. No. 5,806,059, which is a continuation of application No. 08/180,674, Jan. 13, 1994, abandoned. ...
Chapter 14 Methodology - Conceptual Database Design
Chapter 14 Methodology - Conceptual Database Design

... Student should create an ER diagram similar to Figure 12.8. Some acceptable differences may be: ...
SQL
SQL

... Extended stored procedures can be used in much the same way as database stored procedures, except that extended stored procedures normally perform tasks related to the interaction of SQL Server with its operating environment. Tasks that are either too complicated or just not possible using Transact- ...
Reducing Big Data to Manageable Proportions
Reducing Big Data to Manageable Proportions

... programmers will do the same. Though specific in some instances to programming in the SAS System, these habits and perspectives have value in all other programming environments as well. DEFLATING AND COMPRESSING DATA A few fundamental ideas help us understand conditions under which we can reduce dat ...
Chapter 17: Recovery System
Chapter 17: Recovery System

... If each Xaction is consistent, and the DB starts consistent, it ends up consistent. ...
transaction
transaction

... – Locks are obtained throughout the transaction. – No lock is released until the COMMIT or ROLLBACK command is issued. – This strategy is more restrictive but easier to implement than two-phase locking. KROENKE AND AUER - DATABASE PROCESSING, 12th Edition © 2012 Pearson Prentice Hall ...
Content Analysis of Distributed Video Surveillance Data for Retrieval
Content Analysis of Distributed Video Surveillance Data for Retrieval

... also developed necessary algorithms for universal and signal computation as well as the artificial intelligence – neural networks, support vector machines [Vap63], the Kalman Filter [Kal60] or Hidden Markov Models [Bau70]. Unfortunately, there was not enough powerful hardware necessary for a practic ...
PPTX - GitHub Pages
PPTX - GitHub Pages

Data mart - KBU ComSci by : Somchai
Data mart - KBU ComSci by : Somchai

... amounts of data. Historical data is kept in a data warehouse.  For example, one can retrieve data from 3 months, 6 months, 12 months, or even older data from a data warehouse. This contrasts with a transactions system, where often only the most recent data is kept.  For example, a transaction syst ...
How do I Backup Best Practice Software?
How do I Backup Best Practice Software?

... 3rd Party Backups Important: This method is not supported by Best Practice support team – we strongly recommend using the Best Practice backup tool ‘BPSBackup.exe’ provided on installation. The Best Practice support team will be unable to provide comprehensive support to sites who are trying to rec ...
Regit Point-of-Sale
Regit Point-of-Sale

... that can be stored in the system. Regit Point-of-Sale works with or without bar code equipment. During a basic transaction, product codes are entered or scanned into the transaction and the screen instantly displays the quantity, price, and product description. When completed, the transaction is tot ...
The Relational Model
The Relational Model

... ICs are based upon the semantics of the realworld enterprise that is being described in the database relations.  We can check a database instance to see if an IC is violated, but we can NEVER infer that an IC is true by looking at an instance. ...
Romancing Your Data: The Getting-to-Know-You Phase
Romancing Your Data: The Getting-to-Know-You Phase

... Modelers and Business Analysts are the typical users of the data, and the term ‘Analyst’ will be used here broadly for ‘anyone who uses an Oracle database to solve business problems.’ An Analyst’s main interest in the database is to solve a business problem that has a data-driven solution. An Analys ...
A Comprehensive Study on Data Warehouse, OLAP and OLTP
A Comprehensive Study on Data Warehouse, OLAP and OLTP

... databases because it has some unique characteristics that help in decision making [2]. There is no any perfect and single definition of data warehouse so it can be described in many ways [1, 3]. ...
Fundamentals of Database Systems
Fundamentals of Database Systems

... aggregate functions are not updateable Views defined on multiple tables using joins are generally not updateable  WITH CHECK OPTION: must be added to the definition of a view if the view is to be updated – to allow check for updatability and to plan for an execution strategy Elmasri/Navathe, Funda ...
File
File

... Our test data of fetching 100,000 rows from a 10 columns table (rs=239 bytes, number of rows per block is 84) in a win2k-zOS system indicated that without blocking, results can be fluctuated (being that stdev vs Average is higher), and about 2-6 times slower than that using ...
database-sql - CyberInfrastructure and Geospatial Information
database-sql - CyberInfrastructure and Geospatial Information

... • Concepts of View o A “virtual table” created dynamically upon request by a user o No data actually stored; instead data from base table made available to user o Based on SQL SELECT statement on base tables or other views ...
Improving Database Performance
Improving Database Performance

... (probably transaction systems) From this point, that database becomes ‘usable’ So, what is different with the Federated Database approach 1. Firstly, the economics are different - the investment in the large, high speed processor is not necessary 2. Data is not centralised - it remains with and on t ...
Issues in Bridging DB & IR
Issues in Bridging DB & IR

... --the schema is normalized (not everything in one table) --How to rank multiple tuples which contain the keywords? ...
Teradata DBMS Features
Teradata DBMS Features

...  Query parallelism enabled by hash partitioning the data across all the AMPs defined in the system.  An AMP provides all the database services on its allocation of data blocks.  Table scans, index scans, projections, selections, joins, aggregations, sorts executes in parallel across all AMPs. ...
For M.Tech - Pragati Engineering College
For M.Tech - Pragati Engineering College

... DDL, DML, Database Access from Applications Programs, Transaction Management, Data Storage and Querying, Database Architecture, Database Users and Administrators, History of Database Systems. Introduction to Database design, ER diagrams, Beyond ER Design, Entities, Attributes and Entity sets, Relati ...
Active Data Guard vs. Storage Remote Mirroring
Active Data Guard vs. Storage Remote Mirroring

... Introduction: Data Guard and Active Data Guard Managed Standby, the precursor to Data Guard, first appeared in Oracle 7. It offered very basic archive log shipping capabilities that required complementary scripts to maintain a synchronized replica of a production database at a remote destination for ...
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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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