Database virtualization
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About
Collen netshifhefhe also known as Flamesbeatz by his fans.....was born in the city of gold Gauteng at katlehong ext1 ....and shift to the south side in Limpopo thoyandou at a village of tshakhuma near mutsindoni......where he started having this feeling of becoming an artist, beatmaker and a producer of a note....at his young age....laterly he developed a group of musicians and it didn't work out the way he planed but he didn't give up lately he become a leader of the g-rappers at his hood then the used to call him a hero then he went back to his roots where things started to be going well.....he performed with a lot of rappers at k1 such as touchline and TFL featuring lot of upcoming artist...hence he was used 2 listen to underground music and new waves where his love was all abt hip hop music since day one.....lil Wayne and Eminem are the major deal fr him and where else jay z,Kanye west,big and Nas also got their spot into his career.......
His music ain't different frm theirs I'f you listen to it carefully You definitely state dart the boy gotta lotta love and respect towards the industry….he worked with plenty artist local and international such as Timmy smalls.wesbeatz.ntrs Lyon.mizzy d,teepee dot com.lord h.gratitude and etc international artist such as TR Butler (USA)and Fixauthor (Cameroon)
PROFILE
Name:Collen netshifhefhe
Born:22/06/199*
Located: katlehong ext1
Genre:hip hop and R&B
Label: independent
Publisher:Risa
Since:2011 Flamesbeatzsa
Virtual data partitioning
The act of partitioning data stores as a database grows has been in use for several decades. There are two primary ways that data has been partitioned inside legacy data management systems:
- Shared-data databases: an architecture that assumes all database cluster nodes share a single partition. Inter-node communications are used to synchronize update activities performed by different nodes on the cluster. Shared-data data management systems are limited to single-digit node clusters.
- Shared-Nothing databases: an architecture in which all data is segregated to internally managed partitions with clear, well-defined data location boundaries. Shared-nothing databases require manual partition management.
In virtual partitioning, logical data is abstracted from physical data by autonomously creating and managing large numbers of data partitions (100s to 1000s). Because they are autonomously maintained, the resources required to manage the partitions are minimal. This kind of massive partitioning results in:
- Partitions that are small, efficiently managed, and load-balanced.
- Systems that do not require re-partitioning events to define additional partitions, even when the hardware is changed.
“Shared-data” and “shared-nothing” architectures allow scalability through multiple data partitions and cross-partition querying and transaction processing without full partition scanning.
Horizontal data partitioning
Partitioning database sources from consumers is a fundamental concept. With greater numbers of database sources, inserting a horizontal data virtualization layer between the sources and consumers helps address this complexity. Rick van der Lans, the author of multiple books on SQL and relational databases, has defined data virtualization as "the process of offering data consumers a data access interface that hides the technical aspects of stored data, such as location, storage structure, API, access language, and storage technology."[1]
Advantages
- Added flexibility and agility for existing computing infrastructure.
- Enhanced database performance.
- Pooling and sharing computing resources, either splitting them (multi-tenancy) or combining them (clustering).
- Simplification of administration and management.
- Increased fault tolerance.