|
Data Preparation
Data preparation is the act of manipulating (or pre-processing) raw data (which may come from disparate data sources) into a form that can be readily and accurately analysed, e.g. for business purposes. Data preparation is the first step in data analytics projects and can include many discrete tasks such as loading data or data ingestion, data fusion, data cleaning, data augmentation, and data delivery. The issues to be dealt with fall into two main categories: * systematic errors involving large numbers of data records, probably because they have come from different sources; * individual errors affecting small numbers of data records, probably due to errors in the original data entry. Data specification The first step is to set out a full and detailed specification of the format of each data field and what the entries mean. This should take careful account of: * most importantly, consultation with the users of the data * any available specification of the system which wil ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Raw Data
Raw data, also known as primary data, are ''data'' (e.g., numbers, instrument readings, figures, etc.) collected from a source. In the context of examinations, the raw data might be described as a raw score (after test scores). If a scientist sets up a computerized thermometer which records the temperature of a chemical mixture in a test tube every minute, the list of temperature readings for every minute, as printed out on a spreadsheet or viewed on a computer screen are "raw data". Raw data have not been subjected to processing, "cleaning" by researchers to remove outliers, obvious instrument reading errors or data entry errors, or any analysis (e.g., determining central tendency aspects such as the average or median result). As well, raw data have not been subject to any other manipulation by a software program or a human researcher, analyst or technician. They are also referred to as ''primary'' data. Raw data is a relative term (see data), because even once raw data have ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
List Of File Formats
This is a list of file formats used by computers, organized by type. Filename extension is usually noted in parentheses if they differ from the file format's name or abbreviation. Many operating systems do not limit filenames to one extension shorter than 4 characters, as was common with some operating systems that supported the File Allocation Table (FAT) file system. Examples of operating systems that do not impose this limit include Unix-like systems, and Microsoft Windows Windows NT, NT, Windows 95, 95-Windows 98, 98, and Windows Me, ME which have no three character limit on extensions for 32-bit or 64-bit applications on file systems other than pre-Windows 95 and Windows NT 3.5 versions of the FAT file system. Some filenames are given extensions longer than three characters. While MS-DOS and NT always treat the suffix after the last period in a file's name as its extension, in UNIX-like systems, the final period does not necessarily mean that the text after the last period i ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Data Transmission
Data communication, including data transmission and data reception, is the transfer of data, signal transmission, transmitted and received over a Point-to-point (telecommunications), point-to-point or point-to-multipoint communication channel. Examples of such channels are copper wires, optical fibers, wireless communication using radio spectrum, storage media and computer buses. The data are represented as an electromagnetic signal, such as an electrical voltage, radiowave, microwave, or infrared signal. ''Analog transmission'' is a method of conveying voice, data, image, signal or video information using a continuous signal that varies in amplitude, phase, or some other property in proportion to that of a variable. The messages are either represented by a sequence of pulses by means of a line code (''baseband transmission''), or by a limited set of continuously varying waveforms (''passband transmission''), using a digital modulation method. The passband modulation and cor ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Data Mining
Data mining is the process of extracting and finding patterns in massive data sets involving methods at the intersection of machine learning, statistics, and database systems. Data mining is an interdisciplinary subfield of computer science and statistics with an overall goal of extracting information (with intelligent methods) from a data set and transforming the information into a comprehensible structure for further use. Data mining is the analysis step of the " knowledge discovery in databases" process, or KDD. Aside from the raw analysis step, it also involves database and data management aspects, data pre-processing, model and inference considerations, interestingness metrics, complexity considerations, post-processing of discovered structures, visualization, and online updating. The term "data mining" is a misnomer because the goal is the extraction of patterns and knowledge from large amounts of data, not the extraction (''mining'') of data itself. It also is a buzzwo ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Data Editing
Data editing is defined as the process involving the review and adjustment of collected survey data. Data editing helps define guidelines that will reduce potential bias and ensure consistent estimates leading to a clear analysis of the data set by correct inconsistent data using the methods later in this article. The purpose is to control the quality of the collected data. Data editing can be performed manually, with the assistance of a computer or a combination of both. Editing methods Editing methods refer to a range of procedures and processes which are used for detecting and handling errors in data. Data editing is used with the goal to improve the quality of statistical data produced. These modifications can greatly improve the quality of analytics created by aiming to detect and correct errors. Examples of different techniques to data editing such as micro-editing, macro-editing, selective editing, or the different tools used to achieve data editing such as graphical editing a ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Alteryx
Alteryx, Inc. is an American computer software company based in Irvine, California, with offices worldwide. The company's products are used for data science and analytics. History SRC LLC, the predecessor to Alteryx, was founded in 1997 by Dean Stoecker, Olivia Duane Adams and Ned Harding. SRC developed the first online data engine for delivering demographic-based mapping and reporting shortly after being founded. In 1998, SRC released Allocate, a data engine incorporating geographically organized U.S. Census data that allows users to manipulate, analyze and map data. Solocast was developed in 1998, which was software that allowed customers to do customer segmentation analysis. In 2000, SRC LLC entered into a contract with the U.S. Census Bureau that resulted in a modified version of its Allocate software being included on CD-ROMs of Census Data sold by the Bureau. In 2006, the software product Alteryx was released, which was a unified spatial and non-spatial data environm ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Trifacta
Trifacta is a privately owned software company headquartered in San Francisco with offices in Bangalore, Boston, Berlin and London. The company was founded in October 2012 and primarily develops data wrangling software for data exploration and self-service data preparation on cloud and on-premises data platforms. Its platform, also named Trifacta, is "designed for analysts to explore, transform, and enrich raw data into clean and structured formats." Trifacta utilizes techniques in machine learning, data visualization, human-computer interaction, and parallel processing so non-technical users can work with large datasets. History The company was developed from a joint research project with Ph.D. and UC Berkeley Professor Joe Hellerstein, Ph.D. and University of Washington and former Stanford professor Jeffrey Heer, and Stanford Ph.D. Sean Kandel. The company created a software application that combines visual interaction with intelligent inference for the process of data tran ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Paxata
Paxata is a privately owned software company headquartered in Redwood City, California. It develops self-service data preparation software that gets data ready for data analytics software. Paxata's software is intended for business analysts, as opposed to technical staff. It is used to combine data from different sources, then check it for data quality issues, such as duplicates and outliers. Algorithms and machine learning automate certain aspects of data preparation and users work with the software through a user-interface similar to Excel spreadsheets. The company was founded in January 2012 and operated in stealth mode until October 2013. It received more than $10 million in venture funding before being acquired by DataRobot. History Paxata was founded in January 2012. It initially raised $2 million in venture capital. The company came out of stealth mode in October 2013. Simultaneously with its public release, Paxata announced an $8 million funding round led by Accel Part ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Extract, Transform, Load
Extract, transform, load (ETL) is a three-phase computing process where data is ''extracted'' from an input source, ''transformed'' (including cleaning), and ''loaded'' into an output data container. The data can be collected from one or more sources and it can also be output to one or more destinations. ETL processing is typically executed using software applications but it can also be done manually by system operators. ETL software typically automates the entire process and can be run manually or on recurring schedules either as single jobs or aggregated into a batch of jobs. A properly designed ETL system extracts data from source systems and enforces data type and data validity standards and ensures it conforms structurally to the requirements of the output. Some ETL systems can also deliver data in a presentation-ready format so that application developers can build applications and end users can make decisions. The ETL process is often used in data warehousing. ETL sys ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Business Application
Business software (or a business application) is any software or set of computer programs used by business users to perform various business functions. These business applications are used to increase productivity, measure productivity, and perform other business functions accurately. Overview Much business software is developed to meet the needs of a specific business, and therefore is not easily transferable to a different business environment, unless its nature and operation are identical. Due to the unique requirements of each business, off-the-shelf software is unlikely to completely address a company's needs. However, where an on-the-shelf solution is necessary, due to time or monetary considerations, some level of customization is likely to be required. Exceptions do exist, depending on the business in question, and thorough research is always required before committing to bespoke or off-the-shelf solutions. Some business applications are interactive, i.e., they have a ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Data Ingestion
Data ( , ) are a collection of discrete or continuous values that convey information, describing the quantity, quality, fact, statistics, other basic units of meaning, or simply sequences of symbols that may be further interpreted formally. A datum is an individual value in a collection of data. Data are usually organized into structures such as tables that provide additional context and meaning, and may themselves be used as data in larger structures. Data may be used as variables in a computational process. Data may represent abstract ideas or concrete measurements. Data are commonly used in scientific research, economics, and virtually every other form of human organizational activity. Examples of data sets include price indices (such as the consumer price index), unemployment rates, literacy rates, and census data. In this context, data represent the raw facts and figures from which useful information can be extracted. Data are collected using techniques such as me ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
