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Informatica
Informatica is an American software development company founded in 1993. It is headquartered in Redwood City, California. Its core products include Enterprise Cloud Data Management and Data Integration. It was co-founded by Gaurav Dhillon and Diaz Nesamoney. Amit Walia is the company's CEO. History On 29 April 1999, its Initial public offering on the NASDAQ stock exchange listed its shares under the stock symbol INFA. On 7 April 2015, Permira and Canada Pension Plan Investment Board announced that a company controlled by the Permira funds and CPPIB would acquire Informatica for approximately US$5.3 billion. On 6 August 2015, the acquisition was completed and Microsoft and Salesforce Ventures invested in the company as part of the deal. The company's stock ceased trading on the NASDAQ under the ticker symbol INFA effective on the same date. On 27 October 2021, Informatica again became publicly traded with the INFA stock symbol, this time listed on the NYSE, opening at $27.55 ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Redwood City, California
Redwood City is a city on the San Francisco Peninsula in Northern California's Bay Area, approximately south of San Francisco, and northwest of San Jose. Redwood City's history spans its earliest inhabitation by the Ohlone people to being a port for lumber and other goods. The county seat of San Mateo County in the heart of Silicon Valley, Redwood City is home to several global technology companies including Oracle, Electronic Arts, Evernote, Box, and Informatica. The city's population was 84,292 according to the 2020 census. The Port of Redwood City is the only deepwater port on San Francisco Bay south of San Francisco. According to the United States Census Bureau, the city has an area of , of which is land and (44.34%) is water. A major watercourse draining much of Redwood City is Redwood Creek, to which several significant river deltas connect, the largest of which is Westpoint Slough. History The earliest known inhabitants of the area which was to become Redwoo ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Russell 1000
The Russell 1000 Index is a stock market index that tracks the highest-ranking 1,000 stocks in the Russell 3000 Index, which represent about 93% of the total market capitalization of that index. , the stocks of the Russell 1000 Index had a weighted average market capitalization of $608.1 billion and a median market capitalization of $15.1 billion. , components ranged in market capitalization from $1.8 billion to $1.4 trillion. The index, which was launched on January 1, 1984, is maintained by FTSE Russell, a subsidiary of the London Stock Exchange Group. The ticker symbol is ^RUI. There are several exchange-traded funds and mutual funds that track the index. Record values Annual returns Top sectors by weight *Technology *Consumer Discretionary * Health Care *Industrials *Financial services Top 10 holdings *Apple () *Microsoft () *Amazon () *Alphabet (Class A) () * Tesla () *Alphabet (Class C) () * Meta () *Nvidia () *Berkshire Hathaway () *UnitedHealth Group () (as of Dece ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Data Virtualization
Data virtualization is an approach to data management that allows an application to retrieve and manipulate data without requiring technical details about the data, such as how it is formatted at source, or where it is physically located, and can provide a single customer view (or single view of any other entity) of the overall data. Unlike the traditional extract, transform, load ("ETL") process, the data remains in place, and real-time access is given to the source system for the data. This reduces the risk of data errors, of the workload moving data around that may never be used, and it does not attempt to impose a single data model on the data (an example of heterogeneous data is a federated database system). The technology also supports the writing of transaction data updates back to the source systems. [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Big Data
Though used sometimes loosely partly because of a lack of formal definition, the interpretation that seems to best describe Big data is the one associated with large body of information that we could not comprehend when used only in smaller amounts. In it primary definition though, Big data refers to data sets that are too large or complex to be dealt with by traditional data-processing application software. Data with many fields (rows) offer greater statistical power, while data with higher complexity (more attributes or columns) may lead to a higher false discovery rate. Big data analysis challenges include capturing data, data storage, data analysis, search, sharing, transfer, visualization, querying, updating, information privacy, and data source. Big data was originally associated with three key concepts: ''volume'', ''variety'', and ''velocity''. The analysis of big data presents challenges in sampling, and thus previously allowing for only observations and sampling. ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Data Exchange
Data exchange is the process of taking data structured under a ''source'' schema and transforming it into a ''target'' schema, so that the target data is an accurate representation of the source data.A. Doan, A. Halevy, and Z. Ives.Principles of data integration, Morgan Kaufmann,s 2012 pp. 276 Data exchange allows data to be shared between different computer programs. It is similar to the related concept of data integration except that data is actually restructured (with possible loss of content) in data exchange. There may be no way to transform an instance given all of the constraints. Conversely, there may be numerous ways to transform the instance (possibly infinitely many), in which case a "best" choice of solutions has to be identified and justified. Single-domain data exchange In some domains, a few dozen different source and target schema (proprietary data formats) may exist. An "exchange" or "interchange format" is often developed for a single domain, and then necessar ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Cloud Computing
Cloud computing is the on-demand availability of computer system resources, especially data storage ( cloud storage) and computing power, without direct active management by the user. Large clouds often have functions distributed over multiple locations, each of which is a data center. Cloud computing relies on sharing of resources to achieve coherence and typically uses a "pay as you go" model, which can help in reducing capital expenses but may also lead to unexpected operating expenses for users. Value proposition Advocates of public and hybrid clouds claim that cloud computing allows companies to avoid or minimize up-front IT infrastructure costs. Proponents also claim that cloud computing allows enterprises to get their applications up and running faster, with improved manageability and less maintenance, and that it enables IT teams to more rapidly adjust resources to meet fluctuating and unpredictable demand, providing burst computing capability: high computing p ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Complex Event Processing
Event processing is a method of tracking and analyzing (processing) streams of information (data) about things that happen (events), and deriving a conclusion from them. Complex event processing, or CEP, consists of a set of concepts and techniques developed in the early 1990s for processing real-time events and extracting information from event streams as they arrive. The goal of complex event processing is to identify meaningful events (such as opportunities or threats) in real-time situations and respond to them as quickly as possible. These events may be happening across the various layers of an organization as sales leads, orders or customer service calls. Or, they may be news items, text messages, social media posts, stock market feeds, traffic reports, weather reports, or other kinds of data. An event may also be defined as a "change of state," when a measurement exceeds a predefined threshold of time, temperature, or other value. Analysts have suggested that CEP will give ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Data Masking
Data masking or data obfuscation is the process of modifying sensitive data in such a way that it is of no or little value to unauthorized intruders while still being usable by software or authorized personnel. Data masking can also be referred as anonymization, or tokenization, depending on different context. The main reason to mask data is to protect information that is classified as personally identifiable information, or mission critical data. However, the data must remain usable for the purposes of undertaking valid test cycles. It must also look real and appear consistent. It is more common to have masking applied to data that is represented outside of a corporate production system. In other words, where data is needed for the purpose of application development, building program extensions and conducting various test cycles. It is common practice in enterprise computing to take data from the production systems to fill the data component, required for these non-production en ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Data Quality
Data quality refers to the state of qualitative or quantitative pieces of information. There are many definitions of data quality, but data is generally considered high quality if it is "fit for tsintended uses in operations, decision making and planning". Moreover, data is deemed of high quality if it correctly represents the real-world construct to which it refers. Furthermore, apart from these definitions, as the number of data sources increases, the question of internal data consistency becomes significant, regardless of fitness for use for any particular external purpose. People's views on data quality can often be in disagreement, even when discussing the same set of data used for the same purpose. When this is the case, data governance is used to form agreed upon definitions and standards for data quality. In such cases, data cleansing, including standardization, may be required in order to ensure data quality. Definitions Defining data quality is difficult due to the ma ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Public Company
A public company is a company whose ownership is organized via shares of stock which are intended to be freely traded on a stock exchange or in over-the-counter markets. A public (publicly traded) company can be listed on a stock exchange (listed company), which facilitates the trade of shares, or not (unlisted public company). In some jurisdictions, public companies over a certain size must be listed on an exchange. In most cases, public companies are ''private'' enterprises in the ''private'' sector, and "public" emphasizes their reporting and trading on the public markets. Public companies are formed within the legal systems of particular states, and therefore have associations and formal designations which are distinct and separate in the polity in which they reside. In the United States, for example, a public company is usually a type of corporation (though a corporation need not be a public company), in the United Kingdom it is usually a public limited company (plc), i ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Data Replication
Replication in computing involves sharing information so as to ensure consistency between redundant resources, such as software or hardware components, to improve reliability, fault-tolerance, or accessibility. Terminology Replication in computing can refer to: * ''Data replication'', where the same data is stored on multiple storage devices * ''Computation replication'', where the same computing task is executed many times. Computational tasks may be: ** ''Replicated in space'', where tasks are executed on separate devices ** ''Replicated in time'', where tasks are executed repeatedly on a single device Replication in space or in time is often linked to scheduling algorithms. Access to a replicated entity is typically uniform with access to a single non-replicated entity. The replication itself should be transparent to an external user. In a failure scenario, a failover of replicas should be hidden as much as possible with respect to quality of service. Computer scientis ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Business-to-business
Business-to-business (B2B or, in some countries, BtoB) is a situation where one business makes a commercial transaction with another. This typically occurs when: * A business is sourcing materials for their production process for output (e.g., a food manufacturer purchasing salt), i.e. providing raw material to the other company that will produce output. * A business needs the services of another for operational reasons (e.g., a food manufacturer employing an accountancy firm to audit their finances). * A business re-sells goods and services produced by others (e.g., a retailer buying the end product from the food manufacturer). B2B is often contrasted with business-to-consumer (B2C). In B2B commerce, it is often the case that the parties to the relationship have comparable negotiating power, and even when they do not, each party typically involves professional staff and legal counsel in the negotiation of terms, whereas B2C is shaped to a far greater degree by economic impli ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
