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• relational database

  A relational database is a type of database that organizes data points with defined relationships for easy access. Continue Reading

• Graph database vs. relational database: Key differences

  Graph databases offer plenty of advantages for enterprises, but relational databases still top the market. Both emphasize relationships between data, but how do they compare? Continue Reading

• data mesh

  Data mesh is a decentralized data management architecture for analytics and data science. Continue Reading

• RDBMS (relational database management system)

  A relational database management system (RDBMS) is a collection of programs and capabilities that enable IT teams and others to create, update, administer and otherwise interact with a relational database. Continue Reading

• data de-identification

  Data de-identification is decoupling or masking data, to prevent certain data elements from being associated with the individual. Continue Reading

• Definitions to Get Started

  • What is data visualization?
  • What is customer data integration (CDI)?
  • What is data restoration?
  • What is data analytics (DA)?

  • What is a backup storage device?
  • What is off-site backup?
  • What is an entity relationship diagram (ERD)?
  • What is data as a service (DaaS)?

  View All Definitions

• differential backup

  A differential backup is a data backup that copies all the files that have changed since the last full backup was performed.Continue Reading

• R programming language

  The R programming language is an open source scripting language for predictive analytics and data visualization.Continue Reading

• Agent vs. agentless backup: Which is the best option?

  In the debate between agent-based and agentless backups, agentless tends to win out. However, factors such as environment and hypervisor capabilities can impact that decision.Continue Reading

• database (DB)

  A database is a collection of information that is organized so that it can be easily accessed, managed and updated.Continue Reading

• What is data management and why is it important? Full guide

  Data management is the process of ingesting, storing, organizing and maintaining the data created and collected by an organization, as explained in this in-depth guide.Continue Reading

• Managing databases in a hybrid cloud: 10 key considerations

  To manage hybrid cloud database environments, consider business and application goals, consistency, configuration management, synchronization, latency, security and stability.Continue Reading

• web analytics

  Web analytics is the process of analyzing the behavior of visitors to a website by tracking, reviewing and reporting the data generated by their use of the site and its components, such as its webpages, images and videos.Continue Reading

• Windows file share witness (FSW)

  A Windows file share witness is a file share that is available to all nodes in a high-availability cluster.Continue Reading

• hashing

  Hashing is the process of transforming any given key or a string of characters into another value.Continue Reading

• disaster recovery (DR) test

  A disaster recovery test is the examination of each step in a disaster recovery plan to ensure that an organization can recover data, restore business critical applications and continue operations after an interruption of services.Continue Reading

• ISO/TS 22317 (International Organization for Standardization Technical Standard 22317)

  ISO/TS 22317 is the first formal standard to address the business impact analysis process.Continue Reading

• operational efficiency

  Operational efficiency refers to an organization's ability to reduce waste of time, effort and material while still producing a high-quality service or product.Continue Reading

• ensemble modeling

  Ensemble modeling is the process of running two or more related but different analytical models and then synthesizing the results into a single score or spread.Continue Reading

• Druva

  Druva is a cloud data protection and management software company based in Sunnyvale, Calif.Continue Reading

• Digital Personal Data Protection Act, 2023

  India's Digital Personal Data Protection Act, 2023 (DPDPA) is a comprehensive privacy and data protection law that recognizes the right of individuals, referred to as "data principals," to protect their personal data during the processing of that ...Continue Reading

• data protection authorities

  Data protection authorities (DPAs) are public authorities responsible for enforcing data protection laws and regulations within a specific jurisdiction.Continue Reading

• data anonymization

  Data anonymization describes various techniques to remove or block data containing personally identifiable information (PII).Continue Reading

• Develop a backup KPI to improve performance

  Key performance indicators help ensure that IT teams meet the needs of the business. A backup KPI demonstrates effective data protection to both customers and management.Continue Reading

• database administrator (DBA)

  A database administrator (DBA) is the information technician responsible for directing and performing all activities related to maintaining and securing a successful database environment.Continue Reading

• association rules

  Association rules are if-then statements that show the probability of relationships between data items within large data sets in various types of databases.Continue Reading

• The 5 components of a DataOps architecture

  Reaping the benefits of DataOps requires good architecture. Use five core components to design a DataOps architecture that best fits organizational needs.Continue Reading

• disaster recovery (DR)

  Disaster recovery (DR) is an organization's ability to respond to and recover from an event that negatively affects business operations.Continue Reading

• business analytics

  Business analytics (BA) is a set of disciplines and technologies for solving business problems using data analysis, statistical models and other quantitative methods.Continue Reading

• logistic regression

  Logistic regression, also known as a logit model, is a statistical analysis method to predict a binary outcome, such as yes or no, based on prior observations of a data set.Continue Reading

• data processing

  Data processing refers to essential operations executed on raw data to transform the information into a useful format or structure that provides valuable insights to a user or organization.Continue Reading

• Hadoop Distributed File System (HDFS)

  The Hadoop Distributed File System (HDFS) is the primary data storage system Hadoop applications use.Continue Reading

• disaster recovery (DR) site

  A disaster recovery (DR) site is a facility an organization can use to recover and restore its technology infrastructure and operations when its primary data center becomes unavailable.Continue Reading

• query

  A query is a question or a request for information expressed in a formal manner.Continue Reading

• business continuity

  Business continuity is an organization's ability to maintain critical business functions during and after a disaster has occurred.Continue Reading

• Data protection vs. security vs. privacy: Key differences

  Data protection, privacy and security might look alike but their differences can make or break a comprehensive compliance program to collect, manage, access, erase and secure data.Continue Reading

• data classification

  Data classification is the process of organizing data into categories that make it easy to retrieve, sort and store for future use.Continue Reading

• columnar database

  A columnar database (column-oriented) is a database management system (DBMS) that stores data on disk in columns instead of rows.Continue Reading

• noisy data

  Noisy data is a data set that contains extra meaningless data. Almost all data sets will contain a certain amount of unwanted noise.Continue Reading

• data protection as a service (DPaaS)

  Data protection as a service (DPaaS) involves managed services that safeguard an organization's data.Continue Reading

• Data Protection Act 2018 (DPA 2018)

  The Data Protection Act 2018 (DPA 2018) is a legislative framework in the United Kingdom governing the processing of personal data.Continue Reading

• schema

  In computer programming, a schema (pronounced SKEE-mah) is the organization or structure for a database, while in artificial intelligence (AI), a schema is a formal expression of an inference rule.Continue Reading

• Google Analytics

  Google Analytics is a web analytics service that provides numerous analytical tools for marketing purposes.Continue Reading

• spatial data

  Spatial data is any type of data that directly or indirectly references a specific geographical area or location.Continue Reading

• Vector vs. graph vs. relational database: Which to choose?

  Vector databases enhance the use of generative AI. Organizations should consider how vector capabilities stack up vs. graph and relational databases before deciding which to use.Continue Reading

• data minimization

  Data minimization aims to reduce the amount of collected data to only include necessary information for a specific purpose.Continue Reading

• serverless database

  A serverless database is a type of cloud database that is fully managed for an organization by a cloud service provider and runs on demand as needed to support applications.Continue Reading

• warm site

  A warm site is a type of facility an organization uses to recover its technology infrastructure when its primary data center goes down. A warm site features an equipped data center but no customer data.Continue Reading

• RFM analysis (recency, frequency, monetary)

  RFM analysis is a marketing technique used to quantitatively rank and group customers based on the recency, frequency and monetary total of their recent transactions to identify the best customers and perform targeted marketing campaigns.Continue Reading

• 11 core elements of a successful data protection strategy

  Your organization's data protection strategy might not include all 11 core elements and associated activities, but the important thing is to have a comprehensive strategy in place.Continue Reading

• Generative AI capabilities increase data analytics value

  GenAI can enhance data analytics uses. Automation and synthetic data let data analysts generate better quality insights more quickly and cost-efficiently than ever before.Continue Reading

• big data management

  Big data management is the organization, administration and governance of large volumes of both structured and unstructured data.Continue Reading

• big data

  Big data is a combination of structured, semi-structured and unstructured data that organizations collect, analyze and mine for information and insights.Continue Reading

• data modeling

  Data modeling is the process of creating a simplified visual diagram of a software system and the data elements it contains, using text and symbols to represent the data and how it flows.Continue Reading

• raw data (source data or atomic data)

  Raw data is the data originally generated by a system, device or operation, and has not been processed or changed in any way.Continue Reading

• data engineer

  A data engineer is an IT professional whose primary job is to prepare data for analytical or operational uses.Continue Reading

• Cloud DBA: How cloud changes database administrator's role

  Cloud databases change the duties and responsibilities of database administrators. Here's how the job of a cloud DBA differs from what an on-premises one does.Continue Reading

• flat file

  A flat file is a collection of data stored in a two-dimensional database in which similar yet discrete strings of information are stored as records in a table.Continue Reading

• Microsoft SQL Server

  Microsoft SQL Server is a relational database management system (RDBMS) that supports a wide variety of transaction processing, business intelligence (BI) and data analytics applications in corporate IT environments.Continue Reading

• Data management trends: GenAI, governance and lakehouses

  The top data management trends of 2023 -- generative AI, data governance, observability and a shift toward data lakehouses -- are major factors for maximizing data value in 2024.Continue Reading

• Oracle E-Business Suite

  Oracle E-Business Suite is one of Oracle Corporation's major product lines. Oracle E-Business Suite applications run on top of the vendor's flagship Oracle Database software.Continue Reading

• asynchronous replication

  Asynchronous replication is a store-and-forward approach to data backup and protection.Continue Reading

• data exploration

  Data exploration is the first step in data analysis involving the use of data visualization tools and statistical techniques to uncover data set characteristics and initial patterns.Continue Reading

• decision-making process

  A decision-making process is a series of steps one or more individuals take to determine the best option or course of action to address a specific problem or situation.Continue Reading

• star schema

  A star schema is a database organizational structure optimized for use in a data warehouse or business intelligence that uses a single large fact table to store transactional or measured data, and one or more smaller dimensional tables that store ...Continue Reading

• edge analytics

  Edge analytics is an approach to data collection and analysis in which an automated analytical computation is performed on data at a sensor, network switch or other device instead of waiting for the data to be sent back to a centralized data store.Continue Reading

• data warehouse as a service (DWaaS)

  Data warehouse as a service (DWaaS) is an outsourcing model in which a cloud service provider configures and manages the hardware and software resources a data warehouse requires, and the customer provides the data and pays for the managed service.Continue Reading

• What is data governance and why does it matter?

  Data governance is the process of managing the availability, usability, integrity and security of the data in enterprise systems, based on internal standards and policies that also control data usage.Continue Reading

• Free business continuity testing template for IT pros

  Business continuity testing can be a major challenge for any organization. This free template offers ways to incorporate testing into the business continuity management process.Continue Reading

• data mining

  Data mining is the process of sorting through large data sets to identify patterns and relationships that can help solve business problems through data analysis.Continue Reading

• crisis management plan (CMP)

  A crisis management plan (CMP) outlines how an organization should respond to a critical situation that if left unaddressed, could negatively affect its profitability, reputation or ability to operate.Continue Reading

• data sampling

  Data sampling is a statistical analysis technique used to select, manipulate and analyze a representative subset of data points to identify patterns and trends in the larger data set being examined.Continue Reading

• self-service analytics

  Self-service analytics is a type of business intelligence (BI) that enables business users to access, manipulate, analyze and visualize data, as well as generate reports based on their discoveries.Continue Reading

• data loss

  Data loss is the intentional or unintentional destruction of information.Continue Reading

• Best practices for a strong disaster recovery testing strategy

  Testing is a critical part of the disaster recovery planning process. Without proper testing, IT teams might miss crucial updates or make avoidable missteps in a recovery.Continue Reading

• in-memory analytics

  In-memory analytics is an approach to querying data residing in a computer's random access memory (RAM) as opposed to querying data stored on physical drives.Continue Reading

• Google Bigtable

  Google Bigtable is a distributed, column-oriented data store created by Google Inc. to handle very large amounts of structured data associated with the company's Internet search and Web services operations.Continue Reading

• encryption key management

  Encryption key management is the practice of generating, organizing, protecting, storing, backing up and distributing encryption keys.Continue Reading

• What is the link between sustainability and business continuity?

  At first glance, business continuity planning and sustainability efforts might seem separate. But at their core, both aim to create a resilient organization.Continue Reading

• hybrid backup

  A hybrid backup is typically when organizations use both on-premises storage and the public cloud as data backup destinations, depending on specific requirements and use cases.Continue Reading

• Top 12 data observability use cases

  Experts identify 12 top data observability use cases and examine how they influence all aspects of data management and governance operations.Continue Reading

• MPP database (massively parallel processing database)

  An MPP database is a database that is optimized to be processed in parallel for many operations to be performed by many processing units at a time.Continue Reading

• data protection management (DPM)

  Data protection management (DPM) is the administration, monitoring and management of backup processes to ensure backup tasks run on schedule and data is securely backed up and recoverable.Continue Reading

• big data engineer

  A big data engineer is an information technology (IT) professional who is responsible for designing, building, testing and maintaining complex data processing systems that work with large data sets.Continue Reading

• fact table

  In data warehousing, a fact table is a database table in a dimensional model. The fact table stores quantitative information for analysis.Continue Reading

• disaster recovery team

  A disaster recovery team is a group of individuals focused on planning, implementing, maintaining, auditing and testing an organization's business continuity and disaster recovery procedures.Continue Reading

• Tutorial: Use Linux rsync backup to protect files

  Rsync is a file transfer utility designed to move data from one Linux network host to another, which has made it a popular option for backing up critical data.Continue Reading

• synchronous replication

  Synchronous replication is the process of copying data over a network to create multiple current copies of the data.Continue Reading

• 5V's of big data

  The 5 V's of big data -- velocity, volume, value, variety and veracity -- are the five main and innate characteristics of big data.Continue Reading

• advanced analytics

  Advanced analytics is a broad category of inquiry that can be used to help drive changes and improvements in business practices.Continue Reading

• network load balancing (NLB)

  Network load balancing (NLB) is a feature in multiple versions of the Microsoft Windows Server operating system (OS), Amazon Web Services (AWS) and other cloud service providers that distribute network traffic among multiple servers or virtual ...Continue Reading

• fault tolerance

  Fault tolerance is the capability of a system to deliver uninterrupted service despite one or more of its components failing.Continue Reading

• emergency communications plan (EC plan)

  An emergency communications plan (EC plan) is a document that provides guidelines, contact information and procedures for how information should be shared during all phases of an unexpected occurrence that requires immediate action.Continue Reading

• call tree

  A call tree is a layered hierarchical communication model used to notify specific individuals of an event and coordinate recovery if necessary.Continue Reading

• How often should you back up your data? Answers vary

  Backup strategy and frequency is unique for just about every organization. You must balance backup management abilities with the amount of loss your business can tolerate.Continue Reading

• natural disaster recovery

  Natural disaster recovery is the process of recovering data and resuming business operations following a natural disaster.Continue Reading

• OLAP (online analytical processing)

  OLAP (online analytical processing) is a computing method that enables users to easily and selectively extract and query data in order to analyze it from different points of view.Continue Reading

• data reduction

  Data reduction lowers the amount of capacity required to store data.Continue Reading

• Business continuity maturity model: An at-a-glance guide

  Business continuity maturity models are effective tools to improve disaster recovery processes and define an organization's desired level of BC preparedness.Continue Reading

• How to use a SWOT analysis for IT disaster recovery planning

  A disaster recovery IT SWOT analysis can identify the good and the bad aspects of a DR plan, as well as highlight potential risks and opportunities for improvement.Continue Reading

• process intelligence (business process intelligence)

  Process intelligence is data that has been systematically collected to analyze the individual steps within a business process or operational workflow.Continue Reading