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Extremely large or complex datasets
Big data primarily refers to data sets that are too large or complex to be dealt with by traditional data-processing software. Data with many entries
Big_data
Unit of information
data Data (computer science) Data acquisition Data analysis Data bank Data cable Data center Data curation Data domain Data element Data farming Data
Data
Cloud-based service
Big Data Scoring is a cloud-based service that lets consumer lenders improve loan quality and acceptance rates through the use of big data. The company
Big_Data_Scoring
Ethics of mass data analytics
Big data ethics, also known simply as data ethics, refers to systemizing, defending, and recommending concepts of right and wrong conduct in relation to
Big_data_ethics
Field of study to extract knowledge from data
February 2013). "Data Science and its Relationship to Big Data and Data-Driven Decision Making". Big Data. 1 (1): 51–59. doi:10.1089/big.2013.1508. ISSN 2167-6461
Data_science
Chinese provincial government strategy
Big Data Guizhou (Chinese: 贵州大数据) is a provincial strategy launched in 2014 to establish Guizhou as China's national big data hub. In 2014, Chen Min'er
Big_Data_Guizhou
Research institute at the University of Oxford
The Big Data Institute (BDI), part of the Li Ka Shing Centre for Health Information and Discovery, is an interdisciplinary research institute at the University
Big_Data_Institute
American electronic music project
Big Data is an American electronic music project created by producer Alan Wilkis. Big Data is best known for the single "Dangerous", featuring Joywave
Big_Data_(music_project)
2013 single by Big Data featuring Joywave
"Dangerous" is the debut single by American electronic music project Big Data, from their debut EP 1.0 (2013) and their debut studio album 2.0 (2015).
Dangerous_(Big_Data_song)
Disciplines of managing data as a resource
computing and big data analytics, have further refined data management, making it a cornerstone of modern business operations. As of 2025[update], data management
Data_management
Repository of data stored in a raw format
transactions and enforced data quality like a data warehouse. Azure Data Lake "The growing importance of big data quality". The Data Roundtable. 21 November
Data_lake
Scientific journal
of Big Data is a scientific journal that publishes open-access original research on big data. Published by SpringerOpen since 2014, it examines data capture
Journal_of_Big_Data
big data: Contents A B C D E F G H I J K L M N O P Q R S T U V W X Y Z Alpine Data Labs, analytics interface working with Apache Hadoop and big data Azure
List_of_big_data_companies
and interpret data in large volumes, even for big data analysis. The components of the data analysis framework are the steps the data follows to be finally
Data_analysis
Origins and events of data
approach, data lineage can be categorized into three types: Those involving software packages for structured data, programming languages and Big data systems
Data_lineage
Aspect of computer science
Big data maturity models (BDMM) are the artifacts used to measure big data maturity. These models help organizations to create structure around their big
Big_data_maturity_model
Capability that enables an organization to ensure high data quality
requirements. The importance of this discipline has grown with the rise of big data, cloud computing, and artificial intelligence, where consistent standards
Data_governance
Amount of diversified time series generated at a high speed by industrial equipment
Industrial big data refers to a large amount of diversified time series generated at a high speed by industrial equipment, known as the Internet of things
Industrial_big_data
Visual representation of data
Thomas (2015), "Visualizing Big Data with augmented and virtual reality: challenges and research agenda.", Journal of Big Data, 2 (22) 22, doi:10.1186/s40537-015-0031-2
Data and information visualization
Data_and_information_visualization
term "big data" is about machines and "small data" is about people. This is to say that eyewitness observations or five pieces of related data could be
Small_data
Evidence that auditors use to verify accuracy
significant change with the emergence of Artificial Intelligence, Big Data, and audit data analytics. As the field of accounting is transforming, technologies
Audit_evidence
American audience measurement service
accreditation for Big Data + Panel". Axios. Retrieved December 30, 2025. Blancaflor, Saleah (January 22, 2025). "Nielsen Big Data + Panel TV Measurement
Nielsen_Media_Research
Software company
company specializing in data integrity tools, and also providing big data, high-speed sorting, ETL, data integration, data quality, data enrichment, and location
Precisely_(company)
Software engineering approach to designing and developing information systems
the massive increase in data volumes, velocity, and variety led to the term big data to describe the data itself, and data-driven tech companies like
Data_engineering
Process of analyzing large data sets
Data mining is the process of extracting and finding patterns in massive data sets involving methods at the intersection of machine learning, statistics
Data_mining
Combining data from multiple sources
The decision to integrate data tends to arise when the volume, complexity (that is, big data) and need to share existing data explodes. It has become the
Data_integration
Swedish computer scientist
scientist and entrepreneur, specializing in distributed systems, big data and data management. He is a co-founder and CEO of Databricks and an adjunct
Ali_Ghodsi
Artificial intelligence in IT operations
of artificial intelligence, machine learning, and big data analytics to automate and enhance data center management. It helps organizations manage complex
AIOps
Integration of software development and operations
why DataOps is essential for big data success" on June 19, 2014. The term DataOps was later popularized by Andy Palmer of Tamr and Steph Locke. DataOps
DevOps
Access control paradigm
also be applied to Big Data systems like Hadoop. Policies similar to those used previously can be applied when retrieving data from data lakes. As of Windows
Attribute-based access control
Attribute-based_access_control
American technology company (1986–2016)
Face of Big Data, a globally crowdsourced media project focusing on the ability to collect, analyze, triangulate and visualize vast amounts of data in real-time
EMC_Corporation
2010s social media data misuse
advertising on Facebook? Medusa studied an article about the influence of "big data" on elections and tells what's wrong with it" [Дональд Трамп правда победил
Facebook–Cambridge Analytica data scandal
Facebook–Cambridge_Analytica_data_scandal
British National Institutes of Health project
Big Data to Knowledge (BD2K) is a project of the National Institutes of Health for knowledge extraction from big data. BD2K was founded in 2013 in response
Big_Data_to_Knowledge
Collection of data
A data set (or dataset) is a collection of data. In the case of tabular data, a data set corresponds to one or more database tables, where every column
Data_set
The Oracle Big Data Appliance consists of hardware and software from Oracle Corporation sold as a computer appliance. It was announced in 2011, and is
Oracle_Big_Data_Appliance
Centralized storage of knowledge
Unlike data warehouses, data lakes stores data is structured, semi-structured and unstructured format that makes them usable for machine learning and big data
Data_warehouse
Ideology created by big data
Dataism is a term that has been used to describe the mindset or philosophy created by the emerging significance of big data. It was first used by David
Dataism
Discrete, discontinuous representation of information
code Big data Binary number Comparison of analog and digital recording Computer data storage Data Data dictionary Data modeling Data remanence Data stream
Digital_data
Discovery, interpretation, and communication of meaningful patterns in data
statistics, and mathematics. According to International Data Corporation, global spending on big data and business analytics (BDA) solutions is estimated
Analytics
Preventing personal identity from being revealed
used in fields of communications, multimedia, biometrics, big data, cloud computing, data mining, internet, social networks, and audio–video surveillance
De-identification
List of projects maintained by the Apache Software Foundation
Java-based domain specific language CarbonData: an indexed columnar data format for fast analytics on big data platform, e.g., Apache Hadoop, Apache Spark
List of Apache Software Foundation projects
List_of_Apache_Software_Foundation_projects
British quantitative finance research and technology firm
research and technology firm. The firm makes use of machine learning, big data, and other technologies to predict movements in the financial markets.
G-Research
German computer scientist (born 1959)
University of Leipzig. His research areas are database systems, data integration and Big Data. Rahm studied computer science at Kaiserslautern University
Erhard_Rahm
Ability to seamlessly add computer resources to a given node
computing is necessary in order to build a robust and scalable cloud, big data, map reduce, or distributed storage system and is often associated with
Hyperscale_computing
Openly accessible data
initiatives Data.gov, Data.gov.uk and Data.gov.in. Open data can be linked data—referred to as linked open data. One of the most important forms of open data is
Open_data
Collection and manipulation of items of data to produce meaningful information
flowchart of a data processing system combining manual and computerized processing to handle accounts receivable, billing, and general ledger Big data Computation
Data_processing
in those fields. Apache Mahout Apache MXNet Apache SINGA BigDL Caffe CatBoost Chainer Data Analytics Acceleration Library Deeplearning4j Dlib Encog Flux
List_of_data_science_software
Field of research
Critical data studies is the exploration of and engagement with social, cultural, and ethical challenges that arise when working with big data. It is through
Critical_data_studies
Internet adage
Josef (2018). "Rethinking the Geoweb and Big Data: Mixed Methods and Brandolini's Law". Thinking Big Data in Geography: New Regimes, New Research. University
Brandolini's_law
Multinational technology company headquartered in Germany
artificial intelligence, big data analytics, rendering, and cloud computing. Services include a platform for processing large data sets. Formed in 2019 through
Northern_Data
Components of an environment handling and processing types of data
attempt to scrape a user's data. The rise of data ecosystems is part and parcel with the development of big data. Big data is an emerging trend in science
Data_ecosystem
Digitally encoded information
into a series of packets. Data streaming has become ubiquitous. Most data transmitted over the Internet is transmitted as a data stream. Using a mobile phone
Data_stream
Type of information sanitization
popularity of big data processing involving the widespread sharing and combining of data. Structured data: Databases Unstructured data: PDF files - Anonymization
Data_anonymization
American software company
unstructured data gathered from online interactions prompted Teradata to form the "Petabyte club" in 2011 for its heaviest big data users. The rise of big data resulted
Teradata
Big data table format
format for large analytic tables. Iceberg enables the use of SQL tables for big data while making it possible for engines like Spark, Trino, Flink, Presto,
Apache_Iceberg
American journalist and author (born 1968)
and society. He is best known for his work at The Economist and the book Big Data: A Revolution that Will Transform How We Work, Live and Think, coauthored
Kenneth_Cukier
Software platform for collecting and managing data
advertising campaigns. They may use big data and artificial intelligence algorithms to process and analyze large data sets about users from various sources
Data_management_platform
Austrian nonprofit research organization
systems, system analysis and big data science in Austria. The CSH was founded in 2015 as a joint initiative to foster big data science for the benefit of
Complexity_Science_Hub
American software company
units (GPUs) and central processing units (CPUs) to query and visualize big data. The company was founded in 2013 by Todd Mostak and Thomas Graham and is
HEAVY.AI
Broad category of manufacturing
include big data processing capabilities, industrial connectivity devices and services, and advanced robotics. Smart manufacturing leverages big data analytics
Smart_manufacturing
Recording of information in a storage medium
Data storage is the recording (storing) of information (data) in a storage medium. Handwriting, phonographic recording, magnetic tape, and optical discs
Data_storage
Data that is continuously generated by different sources
downloaded. Big data is forcing many organizations to focus on storage costs, which brings interest to data lakes and data streams. A data lake refers
Streaming_data
State of qualitative or quantitative pieces of information
Retrieved 18 April 2020. NIST Big Data Public Working Group, Definitions and Taxonomies Subgroup (October 2019). "NIST Big Data Interoperability Framework:
Data_quality
Computer scientist
systems, big data, and cloud computing. He is best known for proposing Virtual Distributed File System (VDFS), and creating an open-source data orchestration
Haoyuan_Li
Misuse of data analysis
Data dredging, also known as data snooping or p-hacking, is the misuse of data analysis to find patterns in data that can be presented as statistically
Data_dredging
Organization of collected data
contemporary era of big data, the curation of data has become increasingly prominent, particularly for software processing high-volume and complex data systems.
Data_curation
Approach to security that focuses on the data itself rather than of networks
applications. Data-centric security is evolving rapidly as enterprises increasingly rely on digital information to run their business and big data projects
Data-centric_security
Annual computing event in Asia established 2014
The International Conference on Big Data and Smart Computing (BigComp) is an annual conference on the themes of big data and smart computing. Founded in
International Conference on Big Data and Smart Computing
International_Conference_on_Big_Data_and_Smart_Computing
2019 book by Caroline Criado Perez
The book describes the adverse effects on women caused by gender bias in big data collection. The book received both the Royal Society Insight Investment
Invisible Women: Exposing Data Bias in a World Designed for Men
Invisible_Women:_Exposing_Data_Bias_in_a_World_Designed_for_Men
Data collector and vendor to third parties
A data broker is an individual or company that specializes in collecting personal data (such as income, ethnicity, political beliefs, or geolocation data)
Data_broker
NSA data storage facility
administrative space. Utah portal United States portal Politics portal Big data Cyberethics Electronic Communications Privacy Act FISA Amendments Act of
Utah_Data_Center
Cloud-based data-warehousing company
intelligence (AI) data platform company founded in San Mateo, California, and headquartered in Menlo Park. It operates a platform that supports data analysis and
Snowflake_Inc.
UC Berkeley research lab
AMPLAB was a University of California, Berkeley lab focused on big data analytics located in Soda Hall. The name stands for the Algorithms, Machines and
AMPLab
Website
The Big Cartoon DataBase (or BCDB for short) was an online database of information about animated cartoons, animated feature films, animated television
The_Big_Cartoon_DataBase
Distributed data processing framework
provides a software framework for distributed storage and processing of big data using the MapReduce programming model. Hadoop was originally designed for
Apache_Hadoop
American legal scholar
predictive policing, big data surveillance, and juries. Ferguson has written about the US Department of Justice's problematic funding of big data surveillance
Andrew_Guthrie_Ferguson
Database class for storage and retrieval of modeled data
companies like social media platforms. NoSQL databases are popular in big data and real-time web applications due to their simple design, ability to scale
NoSQL
California. In Sept. 2013, Tidemark won the Big Data Startup Challenge and earned a spot in the Big Data 50. Founded by Christian Gheoghe with co-founders
Tidemark
Information technology companies of Malaysia
Harvard Business School (HBS) Executive Education to launch a customised Big Data Analytics (BDA) program, with Malaysia Digital Economy Corporation (MDEC)
The Center of Applied Data Science
The_Center_of_Applied_Data_Science
Distributed query engine
is a distributed query engine for big data using the SQL query language. Its architecture allows users to query data sources such as Hadoop, Cassandra
Presto_(SQL_query_engine)
Type of data in finance
insights into investment opportunities. Alternative data sets are often categorized as big data, which means that they may be very large and complex
Alternative_data_(finance)
Data produced as a by-product of online activity
(2013). The individual and big data. Feliciter, 59(6), 47 Rob, Kitchin (2014-08-26). The data revolution : big data, open data, data infrastructures & their
Data_exhaust
American computer scientist
(IEEE ICWS/SCC/CLOUD/MS/BigDataCongress/SERVICES), to honor a very promising young big data researcher each year in the IEEE Big Data Congress and co-located
Peter_Chen
YARN-native platform
YARN-native platform that unifies stream and batch processing. It processes big data-in-motion in a way that is scalable, performant, fault-tolerant, stateful
Apache_Apex
Food security research organisation
Retrieved 6 October 2021. "CGIAR Platform for Big Data in Agriculture". CGIAR Platform for Big Data in Agriculture. 10 December 2020. Retrieved 6 October
CGIAR
when or by whom a crime may occur in the future and respond accordingly. Big data analytical tools are used to identify patterns in crime, allowing authorities
Surveillance issues in smart cities
Surveillance_issues_in_smart_cities
American technology company
Draženko (2018-10-21). "Schema on read modeling approach as a basis of big data analytics integration in EIS". Enterprise Information Systems. pp. 1180–1201
Dynatrace
Class of parallel computing applications
typically terabytes or petabytes in size and typically referred to as big data. Computing applications that devote most of their execution time to computational
Data-intensive_computing
predictive analytics). Data technology has been used to manage big data sets, build solutions for data management and integrate data from various sources
Data_technology
Order of bytes in a computer word
computing, endianness is the order in which bytes within a word data type are transmitted over a data communication medium or addressed in computer memory, counting
Endianness
Computer memory type used for data preservation
5D optical data storage is an experimental nanostructured glass for permanently recording digital data using a femtosecond laser writing process. It is
5D_optical_data_storage
Form of activism
for the purpose of using big data in similar ways that corporations currently do, namely to monetize data. However, here big data is used to help solve social
Data_activism
South Korean data analytics company
Good Data Corporation (Korean: 굿데이터코퍼레이션) is a South Korean big data analytics company established in 2013 as Cherry Picker Co., Ltd. It was rebranded
Good_Data_Corporation
Class of computational model
era of big data, artificial intelligence, and machine learning, where they offer valuable insights and predictions based on the available data. These
Data-driven_model
Study of survey methods
social media, apps, and other forms of digital data. There have been three Big Data Meets Survey Science (BigSurv) conferences in 2018, 2020, 2023, and a
Survey_methodology
Information without a formal data model
optimization. The emergence of Big Data in the late 2000s led to a heightened interest in the applications of unstructured data analytics in contemporary fields
Unstructured_data
2000s shift in human communication
late 1990s are knowledge societies informed by Big Data analysis. Decision-making informed by big data analysis has improved both efficiency and productivity
Social_data_revolution
San Francisco-based software company
and Google's BigQuery platform. In February 2021, the company reported having more than 5,000 customers. Databricks announced the Data Intelligence Platform
Databricks
Identifying an anonymized person from deanomized data
warn that re-identification is becoming gradually easier because of "big data"—the abundance and constant collection and analysis of information along
Data_re-identification
Refers to a person who analyses and documents business processes
competitive focus. Operations focus – business analysts are able to use big data to analyze the way in which a business's operations are impacting the ability
Business_analyst
travel, tourism, insurance
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travel, tourism, insurance