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Distributed Database
A distributed database is a database in which data is stored across different physical locations. It may be stored in multiple computers located in the same physical location (e.g. a data centre); or maybe dispersed over a computer network, network of interconnected computers. Unlike Parallel computing, parallel systems, in which the processors are tightly coupled and constitute a single database system, a distributed database system consists of loosely coupled sites that share no physical components. System administrators can distribute collections of data (e.g. in a database) across multiple physical locations. A distributed database can reside on organised network servers or blockchain (database), decentralised independent computers on the Internet, on corporate intranets or extranets, or on other organisation Computer network, networks. Because distributed databases store data across multiple computers, distributed databases may improve performance at end-user worksites by all ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
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Database
In computing, a database is an organized collection of data or a type of data store based on the use of a database management system (DBMS), the software that interacts with end users, applications, and the database itself to capture and analyze the data. The DBMS additionally encompasses the core facilities provided to administer the database. The sum total of the database, the DBMS and the associated applications can be referred to as a database system. Often the term "database" is also used loosely to refer to any of the DBMS, the database system or an application associated with the database. Before digital storage and retrieval of data have become widespread, index cards were used for data storage in a wide range of applications and environments: in the home to record and store recipes, shopping lists, contact information and other organizational data; in business to record presentation notes, project research and notes, and contact information; in schools as flash c ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
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Data Integrity
Data integrity is the maintenance of, and the assurance of, data accuracy and consistency over its entire Information Lifecycle Management, life-cycle. It is a critical aspect to the design, implementation, and usage of any system that stores, processes, or retrieves data. The term is broad in scope and may have widely different meanings depending on the specific context even under the same general umbrella of computing. It is at times used as a proxy term for data quality, while data validation is a prerequisite for data integrity. Definition Data integrity is the opposite of data corruption. The overall intent of any data integrity technique is the same: ensure data is recorded exactly as intended (such as a database correctly rejecting mutually exclusive possibilities). Moreover, upon later Data retrieval, retrieval, ensure the data is the same as when it was originally recorded. In short, data integrity aims to prevent unintentional changes to information. Data integrity is no ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
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Netezza
IBM Netezza (pronounced ne-teez-a) is a subsidiary of American technology company IBM that designs and markets high-performance data warehouse appliances and advanced analytics applications for the most demanding analytic uses including enterprise data warehousing, business intelligence, predictive analytics and business continuity planning. Netezza was acquired by IBM on September 20, 2010. IBM released 4 generations of Netezza Appliances (Twinfin, Striper, Mako) where it was later reintroduced in June 2019 as a fourth generation NPS, Netezza Performance Server, part of the IBM CloudPak for Data offering (Hammerhead). History Netezza was founded in 1999 by Foster Hinshaw. In 2000 Jit Saxena joined Hinshaw as co-founder. The company was incorporated in Delaware on December 30, 1999 as Intelligent Data Engines, Inc. and changed its name to Netezza Corporation in November 2000. Netezza announced the industry's first "data warehouse appliance" in 2003 to meet the industry's need ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
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Greenplum
Greenplum is a big data technology based on MPP architecture and the Postgres open source database technology. The technology was created by a company of the same name headquartered in San Mateo, California around 2005. Greenplum was acquired by EMC Corporation in July 2010. Starting in 2012, its database management system software became known as the Pivotal Greenplum Database sold through Pivotal Software. Pivotal open sourced the core engine and continued its development by the Greenplum Database open source community and Pivotal. Starting in 2020 Pivotal was acquired by VMware and VMware continued to sponsor the Greenplum Database open source community as well as commercialize the technology under the brand name VMware Tanzu Greenplum. In November 2023, VMware was acquired by Broadcom. In May 2024, Tanzu by Broadcom made the decision to close source the Greenplum Database project. All future releases of Greenplum Database will be closed source and released as part of ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
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Amazon Aurora
Amazon Aurora is a proprietary relational database offered as a service by Amazon Web Services (AWS) since October 2014. Aurora is available as part of the Amazon Relational Database Service (RDS). History Aurora offered MySQL compatible service upon its release in 2014. It added PostgreSQL compatibility in October 2017. In August 2017, Aurora Fast Cloning (copy-on-write) feature was added allowing customers to create copies of their databases. In May 2018, Aurora Backtrack was added which allows developers to rewind database clusters without creating a new one. It became possible to stop and start Aurora Clusters in September 2018. In August 2018, Amazon began to offer a serverless version. In 2019 the developers of Aurora won the SIGMOD Systems Award for fundamentally redesigning relational database storage for cloud environments. Features Aurora automatically allocates database storage space in 10-gigabyte increments, as needed, up to a maximum of 128 terabytes. ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
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Snowflake Inc
Snowflake Inc. is an American cloud-based data storage company. Headquartered in Bozeman, Montana, it operates a platform that allows for data analysis and simultaneous access of data sets with minimal latency. It operates on Amazon Web Services, Microsoft Azure, and Google Cloud Platform. , the company had 10,618 customers, including more than 800 members of the Forbes Global 2000, and processed 4.2 billion daily queries across its platform. History Snowflake Inc. was founded in July 2012 in San Mateo, California, by Benoît Dageville, Thierry Cruanes and Marcin Żukowski. Dageville and Cruanes previously worked as data architects at Oracle Corporation; Żukowski was a co-founder of Vectorwise. Mike Speiser, a venture capitalist at Sutter Hill Ventures, which provided early funding to the company, was the company's first CEO. In June 2014, Bob Muglia, formerly of Microsoft, was named CEO. In October 2014, Snowflake came out of stealth mode; at that time it was us ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
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Cloud Database
A cloud database is a database that typically runs on a cloud computing platform and access to the database is provided as-a-service. There are two common deployment models: users can run databases on the cloud independently, using a virtual machine image, or they can purchase access to a database service, maintained by a cloud database provider. Of the databases available on the cloud, some are SQL-based and some use a NoSQL data model. Database services take care of scalability and high availability of the database. Database services make the underlying software-stack transparent to the user. Deployment models There are two primary methods to run a database on a cloud platform: ; Virtual machine image: Cloud platforms allow users to purchase virtual-machine instances for a limited time, and one can run a database on such virtual machines. Users can either upload their own machine image with a database installed on it, or use ready-made machine images that already include an op ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
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Partition (database)
A partition is a division of a logical database or its constituent elements into distinct independent parts. Database partitioning refers to intentionally breaking a large database into smaller ones for scalability purposes, distinct from network partitions which are a type of network fault between nodes. In a partitioned database, each piece of data belongs to exactly one partition, effectively making each partition a small database of its own. Database partitioning is normally done for manageability, performance or availability reasons, or for load balancing. It is popular in distributed database management systems, where each partition may be spread over multiple nodes, with users at the node performing local transactions on the partition. This increases performance for sites that have regular transactions involving certain views of data, whilst maintaining availability and security. Partitioning enables distribution of datasets across multiple disks and query loads across mu ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
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Shared-nothing Architecture
A shared-nothing architecture (SN) is a distributed computing architecture in which each update request is satisfied by a single node (processor/memory/storage unit) in a computer cluster. The intent is to eliminate contention among nodes. Nodes do not share (independently access) the same memory or storage. One alternative architecture is shared everything, in which requests are satisfied by arbitrary combinations of nodes. This may introduce contention, as multiple nodes may seek to update the same data at the same time. It also contrasts with shared-disk and shared-memory architectures. SN eliminates single points of failure, allowing the overall system to continue operating despite failures in individual nodes and allowing individual nodes to upgrade hardware or software without a system-wide shutdown. A SN system can scale simply by adding nodes, since no central resource bottlenecks the system. In databases, a term for the part of a database on a single node is a '' sha ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
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Shared-disk Architecture
A shared-disk architecture (SD) is a distributed computing architecture Architecture is the art and technique of designing and building, as distinguished from the skills associated with construction. It is both the process and the product of sketching, conceiving, planning, designing, and construction, constructi ... in which the nodes share same disk devices but each node has its own private memory. The disks have active nodes which all share memory in case of any failures. In this architecture, the disks are accessible from all the cluster nodes. This architecture has quick adaptability to the changing workloads. It uses robust optimization techniques. Multiple processors can access all disks directly via intercommunication network and every processor has local memory. It contrasts with shared-nothing architecture, in which all nodes have sole access to distinct disks, and with shared-memory, in which they also share memory. Shared-disk has two advantages over Shared-mem ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
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Shared-memory Architecture
A shared-memory architecture (SM) is a distributed computing Software architecture, architecture in which the nodes share the same memory as well as the same storage.{{Cite web , title=Memory: Shared vs Distributed - UFRC , url=https://help.rc.ufl.edu/doc/Memory:_Shared_vs_Distributed , access-date=2024-03-13 , website=help.rc.ufl.edu It contrasts with shared-nothing architecture, in which each node has distinct memory and storage, and with shared-disk architecture, in which the nodes share the same storage but not the same memory. This is distinct from the use of shared memory between different programs or threads on a single node, with or without multiprocessing. See also * Distributed database * Shared memory References Distributed computing architecture External links *The Case for Shared Nothing. ''www.linkedin.com''. * Garrod, Charlie (2023).Lecture #21: Introduction to Distributed Databases (PDF). ''Carnegie Mellon University - School of Computer Science''. ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |