Introduction to Spatial Databases
... How is a SDBMS different from a GIS ? SDBMS focusses on Efficient storage, querying, sharing of large spatial datasets Provides simpler set based query operations Example operations: search by region, overlay, nearest neighbor, distance, adjacency, perimeter etc. Uses spatial indices and query opti ...
... How is a SDBMS different from a GIS ? SDBMS focusses on Efficient storage, querying, sharing of large spatial datasets Provides simpler set based query operations Example operations: search by region, overlay, nearest neighbor, distance, adjacency, perimeter etc. Uses spatial indices and query opti ...
Introduction to Spatial Databases
... How is a SDBMS different from a GIS ? SDBMS focusses on Efficient storage, querying, sharing of large spatial datasets Provides simpler set based query operations Example operations: search by region, overlay, nearest neighbor, distance, adjacency, perimeter etc. Uses spatial indices and query opti ...
... How is a SDBMS different from a GIS ? SDBMS focusses on Efficient storage, querying, sharing of large spatial datasets Provides simpler set based query operations Example operations: search by region, overlay, nearest neighbor, distance, adjacency, perimeter etc. Uses spatial indices and query opti ...
Creating a Data Warehouse using SQL Server
... publishers, authors, titles, stores, sales, and more. If we are to believe that this is the database of a book distribution company then some of the tables really do not belong in the database, e.g. the table "roysched" that shows how much royalty individual authors receive on their books. Likewise ...
... publishers, authors, titles, stores, sales, and more. If we are to believe that this is the database of a book distribution company then some of the tables really do not belong in the database, e.g. the table "roysched" that shows how much royalty individual authors receive on their books. Likewise ...
Document
... A model free from all modification anomalies is said to be in DKNF. Remember, these normalization guidelines are cumulative. For a database to be in 3NF, it must first fulfill all the criteria of a 2NF and 1NF database. What is De-normalization? De-normalization is the process of attempting to optim ...
... A model free from all modification anomalies is said to be in DKNF. Remember, these normalization guidelines are cumulative. For a database to be in 3NF, it must first fulfill all the criteria of a 2NF and 1NF database. What is De-normalization? De-normalization is the process of attempting to optim ...
Teradata - dbmanagement.info
... store lots of data With Oracle, the process of choosing partitioning methods and partitioning keys is the balancing of query access path, performance, and data load requirements You specifically manage the partitioning constraints and their relationship to disk storage With Teradata, the hash ...
... store lots of data With Oracle, the process of choosing partitioning methods and partitioning keys is the balancing of query access path, performance, and data load requirements You specifically manage the partitioning constraints and their relationship to disk storage With Teradata, the hash ...
ppt
... Firm deadline - The task has zero value if it completed after the deadline. Soft deadline - The task has diminishing value if it is completed after the deadline. The wide variance of execution times for read and write operations on ...
... Firm deadline - The task has zero value if it completed after the deadline. Soft deadline - The task has diminishing value if it is completed after the deadline. The wide variance of execution times for read and write operations on ...
Accelerating Business Intelligence with Oracle TimesTen In
... • Compressed data remains available for online access • Space reduction of over 5x on sample customer data ...
... • Compressed data remains available for online access • Space reduction of over 5x on sample customer data ...
btgrubu.com
... • Design databases to meet technical and business requirements • Understand the impact of changes to applications • Develop new applications that leverage existing data assets • Locate and explain data that our company uses to make decisions • Reuse designs and design patterns • Train people that ar ...
... • Design databases to meet technical and business requirements • Understand the impact of changes to applications • Develop new applications that leverage existing data assets • Locate and explain data that our company uses to make decisions • Reuse designs and design patterns • Train people that ar ...
Institutionen för datavetenskap Migration process evaluation and design Henrik Bylin
... The Butterfly methodology is a gateway free approach to migrate legacy data. Often organizations want to keep their old legacy systems operational and use gateways between them and newer systems to exchange data. In this way there is no actual permanent migration of the data. The old system and its ...
... The Butterfly methodology is a gateway free approach to migrate legacy data. Often organizations want to keep their old legacy systems operational and use gateways between them and newer systems to exchange data. In this way there is no actual permanent migration of the data. The old system and its ...
Multi-Dimensional Clustering: a new data layout
... users access data from this database using subsets of dimensions. These access patterns can be considered as selecting regions from the large multidimensional cube. Most commercial database systems now include primary clustering indexes in their repertoire [3, 5]. In this scheme, an index composed o ...
... users access data from this database using subsets of dimensions. These access patterns can be considered as selecting regions from the large multidimensional cube. Most commercial database systems now include primary clustering indexes in their repertoire [3, 5]. In this scheme, an index composed o ...
Full PDF - International Journal of Research in Computer
... challenge since these data consists lots of arbitrary values while data entry. Apart from that identification of duplication of data requires efficient algorithms. Data de-duplication is the process of identifying the duplicate data using different methods and eliminates applying pointers to the dat ...
... challenge since these data consists lots of arbitrary values while data entry. Apart from that identification of duplication of data requires efficient algorithms. Data de-duplication is the process of identifying the duplicate data using different methods and eliminates applying pointers to the dat ...
Database Security and Auditing
... • Must be a standardized, well-documented, and securely managed process • In Oracle10g, use the CREATE USER statement: – Part of the a Data Definition Language (DDL) – Account can own different objects ...
... • Must be a standardized, well-documented, and securely managed process • In Oracle10g, use the CREATE USER statement: – Part of the a Data Definition Language (DDL) – Account can own different objects ...
- Courses - University of California, Berkeley
... • Generally, end-users of database data probably do not want to learn SQL in order to access the information in the database • Instead, they would prefer to use a familiar PC or Web interface that uses the graphical conventions and behaviors that they are familiar with • Today we will look at PC –st ...
... • Generally, end-users of database data probably do not want to learn SQL in order to access the information in the database • Instead, they would prefer to use a familiar PC or Web interface that uses the graphical conventions and behaviors that they are familiar with • Today we will look at PC –st ...
Query Answering Under Exact View Assumption in Local As View
... A problem of query answering under Exact View Assumption was analyzed in [Abiteboul & Duschka, 1998]. In that article it was proofed that the problem is coNP-hard for conjunctive queries and views defined as conjunctive queries. The problems is in coNP for view as union of conjunctive queries and DA ...
... A problem of query answering under Exact View Assumption was analyzed in [Abiteboul & Duschka, 1998]. In that article it was proofed that the problem is coNP-hard for conjunctive queries and views defined as conjunctive queries. The problems is in coNP for view as union of conjunctive queries and DA ...
Workload Management for an Operational Data
... During these hours the load is mostly CRM app access into relatively large volumes of historical customer, order and historical user satisfaction information and Analytics access using Business Objects. To ensure high customer satisfaction, CRM access is crucial and should never be blocked by any ot ...
... During these hours the load is mostly CRM app access into relatively large volumes of historical customer, order and historical user satisfaction information and Analytics access using Business Objects. To ensure high customer satisfaction, CRM access is crucial and should never be blocked by any ot ...
A data-oriented transaction execution engine and supporting tools
... Semi-automated physical design. DORA applies logical-only partitioning which makes it highly flexible to modify. This tool, given a workload, tries to balance the load across the system and minimize the non-partitioning aligned accesses. The user inputs a workload as a set of transactions with their ...
... Semi-automated physical design. DORA applies logical-only partitioning which makes it highly flexible to modify. This tool, given a workload, tries to balance the load across the system and minimize the non-partitioning aligned accesses. The user inputs a workload as a set of transactions with their ...
Oracle Database Collectors
... of operational security policies Who, When, Where can data be accessed? ...
... of operational security policies Who, When, Where can data be accessed? ...
mysql_T1
... • The db table scope columns determine which users can access which databases from which hosts. The privilege columns determine which operations are allowed. A privilege granted at the database level applies to the database and to all its tables • The host table is used in conjunction with the db ta ...
... • The db table scope columns determine which users can access which databases from which hosts. The privilege columns determine which operations are allowed. A privilege granted at the database level applies to the database and to all its tables • The host table is used in conjunction with the db ta ...
Slide 8-30 PHP Source 1.
... A database is a set of data organized into one or more computer files. Relational databases store data in tables Before you can start to work with a MySQL database, you must install a copy of MySQL on your personal computer or Web server, create a database instance for your script and create your in ...
... A database is a set of data organized into one or more computer files. Relational databases store data in tables Before you can start to work with a MySQL database, you must install a copy of MySQL on your personal computer or Web server, create a database instance for your script and create your in ...
The SAS System in a Data Warehouse Environment
... A data warehouse is a physical separation of an organization's on-line transaction processing (OLTP) systems from its decision support svsteJns (DSS1. It includes a repository of information that is built using data from the distributed. and often departmentally isolated. systems of enterprise-wide ...
... A data warehouse is a physical separation of an organization's on-line transaction processing (OLTP) systems from its decision support svsteJns (DSS1. It includes a repository of information that is built using data from the distributed. and often departmentally isolated. systems of enterprise-wide ...
ppt
... Access translates QBE to SQL SQL performs data manipulations based on Relational Algebra Access queries create a dynaset (“live” view of table) • changes made in data by query is reflected in underlying tables ...
... Access translates QBE to SQL SQL performs data manipulations based on Relational Algebra Access queries create a dynaset (“live” view of table) • changes made in data by query is reflected in underlying tables ...
Distributed
... record and then sends a no or yes msg to coordinator. If coordinator gets unanimous yes votes, force-writes a commit log record and sends commit msg to all subs. Else, force-writes abort log rec, and sends abort msg. Subordinates force-write abort/commit log rec based on msg they get, then send ...
... record and then sends a no or yes msg to coordinator. If coordinator gets unanimous yes votes, force-writes a commit log record and sends commit msg to all subs. Else, force-writes abort log rec, and sends abort msg. Subordinates force-write abort/commit log rec based on msg they get, then send ...
Kroenke-Auer-DBP-e11-PPT
... • Forward engineering is the process of applying data model changes to an existing database. • Results of forward engineering should be tested before using it on an operational database. • Some tools will show the SQL that will execute during the forward engineering process: – If so, that SQL should ...
... • Forward engineering is the process of applying data model changes to an existing database. • Results of forward engineering should be tested before using it on an operational database. • Some tools will show the SQL that will execute during the forward engineering process: – If so, that SQL should ...