(L, T, P) = 2 (0, 0, 3) - Suresh Gyan Vihar University
... Introduction, issues in mobile computing, overview of wireless telephony: cellular concept, GSM: airinterface, channel structure, location management: HLR-VLR, hierarchical, handoffs, channel allocation in cellular systems, CDMA, GPRS. Wireless Networking, Wireless LAN Overview: MAC issues, IEEE 802 ...
... Introduction, issues in mobile computing, overview of wireless telephony: cellular concept, GSM: airinterface, channel structure, location management: HLR-VLR, hierarchical, handoffs, channel allocation in cellular systems, CDMA, GPRS. Wireless Networking, Wireless LAN Overview: MAC issues, IEEE 802 ...
In-database Analytical Systems
... Spotfire establishes a database connection to the database engine that is hosting the disk-based data warehouse. (The example we are using is a data warehouse. In practice, Spotfire can establish a database connection to any Teradata, Oracle’s Exadata, SQL Server or SSAS database.) The data remains ...
... Spotfire establishes a database connection to the database engine that is hosting the disk-based data warehouse. (The example we are using is a data warehouse. In practice, Spotfire can establish a database connection to any Teradata, Oracle’s Exadata, SQL Server or SSAS database.) The data remains ...
Chapter 6 Physical Design
... used in a query or report. Instead, attributes from different tables are accessed in a query or report. This makes a DBMS to consume many resources and spend considerable amount of time to execute a query based on multiple tables. ...
... used in a query or report. Instead, attributes from different tables are accessed in a query or report. This makes a DBMS to consume many resources and spend considerable amount of time to execute a query based on multiple tables. ...
CHAPTER SLIDES\tmp ch11
... records based on criteria – Structured Query Language (SQL) Copyright © 2010 Pearson Education, Inc. Publishing as Prentice Hall ...
... records based on criteria – Structured Query Language (SQL) Copyright © 2010 Pearson Education, Inc. Publishing as Prentice Hall ...
The Approach (HadoopDB)
... Unfortunately Map Reduce was not originally designed to perform structured data analysis lacks invaluable DBMS features for structured data analysis workloads Lacks the benefits of modeling and loading data before processing • causes an order of magnitude slower performance than parallel databases ...
... Unfortunately Map Reduce was not originally designed to perform structured data analysis lacks invaluable DBMS features for structured data analysis workloads Lacks the benefits of modeling and loading data before processing • causes an order of magnitude slower performance than parallel databases ...
PPT
... number of tuples in each relation Physical file organization information How relation is stored (sequential / hash / …) Physical location of relation operating system file name or disk addresses of blocks containing records of the relation ...
... number of tuples in each relation Physical file organization information How relation is stored (sequential / hash / …) Physical location of relation operating system file name or disk addresses of blocks containing records of the relation ...
Content types, views
... Control how they are entered and validated Change the way they are displayed ...
... Control how they are entered and validated Change the way they are displayed ...
Advanced Database Applications
... the user. These rules ensure that sensitive data can never be ‘passed on’ to another user without the necessary clearance. ...
... the user. These rules ensure that sensitive data can never be ‘passed on’ to another user without the necessary clearance. ...
pyPgSQL FAQ
... Q: Large Object support doesn’t work with Python 2.2. What gives? A: It’s a Python bug. Please upgrade to Python 2.2.2. Q: Why isn’t cursor.rowcount working as expected? A: By default, PgSQL uses PostgreSQL Portals (i.e. cursors). As a result of this, PgSQL doesn’t know how many rows resulted from t ...
... Q: Large Object support doesn’t work with Python 2.2. What gives? A: It’s a Python bug. Please upgrade to Python 2.2.2. Q: Why isn’t cursor.rowcount working as expected? A: By default, PgSQL uses PostgreSQL Portals (i.e. cursors). As a result of this, PgSQL doesn’t know how many rows resulted from t ...
Data Integration in the Life Sciences
... domains, data integration at some level is necessary. When discussing the different approaches to data integration, a number of key issues need to be addressed: • Accessing the original data sources • Handling redundant as well as missing data • Normalizing analytical data from different data ...
... domains, data integration at some level is necessary. When discussing the different approaches to data integration, a number of key issues need to be addressed: • Accessing the original data sources • Handling redundant as well as missing data • Normalizing analytical data from different data ...
formerly Compaq NonStop™ ISG Navigator
... Data Objects) and DAO (Data Access Objects), ADO provides a new common data access object for use across all applications and tools (including Visual Basic® development system, C/C++, and Java tools). Microsoft products— such as Active Server Pages, which is used to develop scripts for Internet and ...
... Data Objects) and DAO (Data Access Objects), ADO provides a new common data access object for use across all applications and tools (including Visual Basic® development system, C/C++, and Java tools). Microsoft products— such as Active Server Pages, which is used to develop scripts for Internet and ...
Apache Hadoop Community Spotlight: Apache Pig
... built to work in the Hadoop world, where data may or may not be structured or have known schemas. The Pig platform is built to provide a pipeline of operations. It is often used to do extract, transform, load (ETL) operations by pulling data from various sources and then doing the transformations in ...
... built to work in the Hadoop world, where data may or may not be structured or have known schemas. The Pig platform is built to provide a pipeline of operations. It is often used to do extract, transform, load (ETL) operations by pulling data from various sources and then doing the transformations in ...
PDF
... and retain subscribers. VoLTE provides guaranteed quality of service and fast call-setup time. It also supports new services such as call forwarding, call holding, conferencing, and combined voice, video, and chat. These capabilities help to ward off the threat from over-the-top (OTT) providers. At ...
... and retain subscribers. VoLTE provides guaranteed quality of service and fast call-setup time. It also supports new services such as call forwarding, call holding, conferencing, and combined voice, video, and chat. These capabilities help to ward off the threat from over-the-top (OTT) providers. At ...
PPT - MIT Database Group
... Store duplicate copies of data Use different physical orderings Improves ad-hoc query performance Due to ability to directly operate on sorted, compressed data Supports fail-over / redundancy ...
... Store duplicate copies of data Use different physical orderings Improves ad-hoc query performance Due to ability to directly operate on sorted, compressed data Supports fail-over / redundancy ...
Scaling to Infinity - North Carolina Oracle User Group NCOUG
... using referential-integrity constraint mechanisms in application code as well as databases ...
... using referential-integrity constraint mechanisms in application code as well as databases ...
IOSR Journal of Computer Engineering (IOSR-JCE)
... 2. Positive or “whitelist” input validation is also recommended as it helps protect against XSS, but is not a complete defense as many applications require special characters in their input. Such validation should, as much as possible, validate the length, characters, format, and business rules on t ...
... 2. Positive or “whitelist” input validation is also recommended as it helps protect against XSS, but is not a complete defense as many applications require special characters in their input. Such validation should, as much as possible, validate the length, characters, format, and business rules on t ...
A data-oriented transaction execution engine and supporting tools
... 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 expected execution frequencies. Then, the tool suggests a partitioning scheme to reduce the need of re-partitioning at run ...
... 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 expected execution frequencies. Then, the tool suggests a partitioning scheme to reduce the need of re-partitioning at run ...
PHP SQL functions
... PHP mySQL functions • We are using here the new version of PHP mySQL function, starting with mysqli_ • The interface is object-oriented, but can also be accessed in a non-object-oriented way. This is known as the procedural style, in the documentation. • You should use the online documentation at h ...
... PHP mySQL functions • We are using here the new version of PHP mySQL function, starting with mysqli_ • The interface is object-oriented, but can also be accessed in a non-object-oriented way. This is known as the procedural style, in the documentation. • You should use the online documentation at h ...
Introduction to Spatial Databases
... Spatial Data Types and Post-relational Databases Post-relational DBMS Support user defined abstract data types Spatial data types (e.g. polygon) can be added Choice of post-relational DBMS Object oriented (OO) DBMS Object relational (OR) DBMS A spatial database is a collection of spatial data types ...
... Spatial Data Types and Post-relational Databases Post-relational DBMS Support user defined abstract data types Spatial data types (e.g. polygon) can be added Choice of post-relational DBMS Object oriented (OO) DBMS Object relational (OR) DBMS A spatial database is a collection of spatial data types ...
Introduction to Spatial Databases
... Spatial Data Types and Post-relational Databases Post-relational DBMS Support user defined abstract data types Spatial data types (e.g. polygon) can be added Choice of post-relational DBMS Object oriented (OO) DBMS Object relational (OR) DBMS A spatial database is a collection of spatial data types ...
... Spatial Data Types and Post-relational Databases Post-relational DBMS Support user defined abstract data types Spatial data types (e.g. polygon) can be added Choice of post-relational DBMS Object oriented (OO) DBMS Object relational (OR) DBMS A spatial database is a collection of spatial data types ...