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Actian Vector
Actian Vector (formerly known as VectorWise) is an SQL relational database management system designed for high performance in analytical database applications. It published record breaking results on the Transaction Processing Performance Council's TPC-H benchmark for database sizes of 100 GB, 300 GB, 1 TB and 3 TB on non-clustered hardware. Vectorwise originated from the X100 research project carried out within the Centrum Wiskunde & Informatica (CWI, the Dutch National Research Institute for Mathematics and Computer Science) between 2003 and 2008. It was spun off as a start-up company in 2008, and acquired by Ingres Corporation in 2011. It was released as a commercial product in June, 2010, initially for 64-bit Linux platform, and later also for Windows. Starting from 3.5 release in April 2014, the product name was shortened to "Vector". In June 2014, Actian Vortex was announced as a clustered massive parallel processing version of Vector, in Hadoop with storage in HDFS. Actia ...
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Actian Corporation
Actian is an American software company headquartered in Santa Clara, California that provides analytics-related software, products, and services. The company sells database software and technology, cloud engineered systems, and data integration solutions. Timeline * 1980: Relational Technology, Inc. was founded to commercialize Ingres (developed at UC Berkeley). * 1988: RTI went public, raising $28 million on their IPO. * 1989: Changed name to Ingres Corporation. * 1990: ASK Computer Systems acquires Ingres Corporation. * 1994: Computer Associates (CA) acquires the ASK Group. * 2005: Ingres Corporation spun out of CA, with private equity firm Garnett & Helfrich Capital as largest shareholder. * 2010: Ingres acquires VectorWise. * 2011: Changed name to Actian. * 2012: Actian acquires Versant Corporation. * 2013: Actian acquires Pervasive Software and ParAccel. * 2018: Actian was acquired by HCL Technologies and Sumeru Equity Partners for $330 million. * 2021: HCL Tec ...
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Database Administration
Database administration is the function of managing and maintaining database management systems (DBMS) software. Mainstream DBMS software such as Oracle, IBM Db2 and Microsoft SQL Server need ongoing management. As such, corporations that use DBMS software often hire specialized information technology personnel called database administrators or DBAs. Responsibilities * Installation, configuration and upgrading of Database server software and related products. * Evaluate Database features and Database related products. * Establish and maintain sound backup and recovery policies and procedures. * Take care of the Database design and implementation. * Implement and maintain database security (create and maintain users and roles, assign privileges). * Database tuning and performance monitoring. * Application tuning and performance monitoring. * Setup and maintain documentation and standards. * Plan growth and changes ( capacity planning). * Work as part of a team and pr ...
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Massively Parallel
Massively parallel is the term for using a large number of computer processors (or separate computers) to simultaneously perform a set of coordinated computations in parallel. GPUs are massively parallel architecture with tens of thousands of threads. One approach is grid computing, where the processing power of many computers in distributed, diverse administrative domains is opportunistically used whenever a computer is available.''Grid computing: experiment management, tool integration, and scientific workflows'' by Radu Prodan, Thomas Fahringer 2007 pages 1–4 An example is BOINC, a volunteer-based, opportunistic grid system, whereby the grid provides power only on a best effort basis.''Parallel and Distributed Computational Intelligence'' by Francisco Fernández de Vega 2010 pages 65–68 Another approach is grouping many processors in close proximity to each other, as in a computer cluster. In such a centralized system the speed and flexibility of the interconnect ...
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Azure Data Lake
Azure Data Lake is a scalable data storage and analytics service. The service is hosted in Azure, Microsoft's public cloud. History Azure Data Lake service was released on November 16, 2016. It is based on COSMOS, which is used to store and process data for applications such as Azure, AdCenter, Bing, MSN, Skype and Windows Live. COSMOS features a SQL-like query engine called SCOPE upon which U-SQL was built. Storage Data Lake Storage is a cloud service to store structured, semi-structured or unstructured data produced from applications including social networks, relational data, sensors, videos, web apps, mobile or desktop devices. A single account can store trillions of files where a single file can be greater than a petabyte in size. Analytics Data Lake Analytics is a parallel on-demand job service. The parallel processing system is based on Microsoft Dryad. Dryad can represent arbitrary Directed Acyclic Graphs (DAGs) of computation. Data Lake Analytics provides a ...
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The Wall Street Journal
''The Wall Street Journal'' (''WSJ''), also referred to simply as the ''Journal,'' is an American newspaper based in New York City. The newspaper provides extensive coverage of news, especially business and finance. It operates on a subscription model, requiring readers to pay for access to most of its articles and content. The ''Journal'' is published six days a week by Dow Jones & Company, a division of News Corp. As of 2023, ''The'' ''Wall Street Journal'' is the List of newspapers in the United States, largest newspaper in the United States by print circulation, with 609,650 print subscribers. It has 3.17 million digital subscribers, the second-most in the nation after ''The New York Times''. The newspaper is one of the United States' Newspaper of record, newspapers of record. The first issue of the newspaper was published on July 8, 1889. The Editorial board at The Wall Street Journal, editorial page of the ''Journal'' is typically center-right in its positio ...
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Moore’s Law
Moore's law is the observation that the number of transistors in an integrated circuit (IC) doubles about every two years. Moore's law is an observation and projection of a historical trend. Rather than a law of physics, it is an empirical relationship. It is an experience-curve law, a type of law quantifying efficiency gains from experience in production. The observation is named after Gordon Moore, the co-founder of Fairchild Semiconductor and Intel and former CEO of the latter, who in 1965 noted that the number of components per integrated circuit had been doubling every year, and projected this rate of growth would continue for at least another decade. In 1975, looking forward to the next decade, he revised the forecast to doubling every two years, a compound annual growth rate (CAGR) of 41%. Moore's empirical evidence did not directly imply that the historical trend would continue, nevertheless, his prediction has held since 1975 and has since become known as a ''law' ...
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Central Processing Unit
A central processing unit (CPU), also called a central processor, main processor, or just processor, is the primary Processor (computing), processor in a given computer. Its electronic circuitry executes Instruction (computing), instructions of a computer program, such as arithmetic, logic, controlling, and input/output (I/O) operations. This role contrasts with that of external components, such as main memory and I/O circuitry, and specialized coprocessors such as graphics processing units (GPUs). The form, CPU design, design, and implementation of CPUs have changed over time, but their fundamental operation remains almost unchanged. Principal components of a CPU include the arithmetic–logic unit (ALU) that performs arithmetic operation, arithmetic and Bitwise operation, logic operations, processor registers that supply operands to the ALU and store the results of ALU operations, and a control unit that orchestrates the #Fetch, fetching (from memory), #Decode, decoding and ...
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International Conference On Very Large Data Bases
International Conference on Very Large Data Bases or VLDB conference is an annual conference held by the non-profit ''Very Large Data Base Endowment Inc.'' While named after very large databases, the conference covers the research and development results in the broader field of database management. The mission of VLDB Endowment is to "promote and exchange scholarly work in databases and related fields throughout the world." The VLDB conference began in 1975 and is now closely associated with SIGMOD SIGMOD is the Association for Computing Machinery's Special Interest Group on Management of Data, which specializes in large-scale data management problems and databases. The annual ACM SIGMOD Conference, which began in 1975, is considered one of ... and SIGKDD. Venues See also * XLDB References External links VLDB Endowment Inc. {{Authority control Computer science conferences ...
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Carnegie Mellon School Of Computer Science
The School of Computer Science (SCS) at Carnegie Mellon University in Pittsburgh, Pennsylvania is a degree-granting school for computer science established in 1988, making it one of the first of its kind in the world. It has been consistently ranked among the best computer science programs in the world. As of 2024 U.S. News & World Report ranks the graduate program as tied for No. 1 with Massachusetts Institute of Technology, Stanford University and University of California, Berkeley. Researchers from Carnegie Mellon School of Computer Science have made fundamental contributions to the fields of algorithms, artificial intelligence, computer networks, distributed systems, parallel processing, programming languages, computational biology, robotics, language technologies, human–computer interaction and software engineering. History In July 1965, Allen Newell, Herbert A. Simon, and Alan J. Perlis, in conjunction with the faculty from the Graduate School of Industrial Adminis ...
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MonetDB
MonetDB is an open-source column-oriented relational database management system (RDBMS) originally developed at the Centrum Wiskunde & Informatica (CWI) in the Netherlands. It is designed to provide high performance on complex queries against large databases, such as combining tables with hundreds of columns and millions of rows. MonetDB has been applied in high-performance applications for online analytical processing, data mining, geographic information system (GIS), Resource Description Framework (RDF), text retrieval and sequence alignment processing. History Data mining projects in the 1990s required improved analytical database support. This resulted in a CWI spin-off called Data Distilleries, which used early MonetDB implementations in its analytical suite. Data Distilleries eventually became a subsidiary of SPSS in 2003, which in turn was acquired by IBM in 2009. MonetDB in its current form was first created in 2002 by doctoral student Peter Boncz and professor ...
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B-tree
In computer science, a B-tree is a self-balancing tree data structure that maintains sorted data and allows searches, sequential access, insertions, and deletions in logarithmic time. The B-tree generalizes the binary search tree, allowing for nodes with more than two children. Unlike other self-balancing binary search trees, the B-tree is well suited for storage systems that read and write relatively large blocks of data, such as databases and file systems. History While working at Boeing Research Labs, Rudolf Bayer and Edward M. McCreight invented B-trees to efficiently manage index pages for large random-access files. The basic assumption was that indices would be so voluminous that only small chunks of the tree could fit in the main memory. Bayer and McCreight's paper ''Organization and maintenance of large ordered indices'' was first circulated in July 1970 and later published in '' Acta Informatica''. Bayer and McCreight never explained what, if anything, the ''B ...
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Column-oriented DBMS
Data orientation is the representation of tabular data in a linear memory model such as in-disk or in-memory. The two most common representations are column-oriented (columnar format) and row-oriented (row format). The choice of data orientation is a trade-off and an architectural decision in databases, query engines, and numerical simulations. As a result of these tradeoffs, row-oriented formats are more commonly used in Online transaction processing (OLTP) and column-oriented formats are more commonly used in Online analytical processing (OLAP). Examples of column-oriented formats include Apache ORC, Apache Parquet, Apache Arrow, formats used by BigQuery, Amazon Redshift and Snowflake. Predominant examples of row-oriented formats include CSV, formats used in most relational databases, the in-memory format of Apache Spark, and Apache Avro. Description Tabular data is two dimensional — data is modeled as rows and columns. However, computer systems represent d ...
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