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• Oracle RMAN tutorial: Get started with database backup

  In this tutorial, find out how to use Oracle RMAN for different types of database backups and learn which commands admins must know to get the most out of the tool. Continue Reading

• heat map (heatmap)

  A heat map is a two-dimensional representation of data in which various values are represented by colors. Continue Reading

• C++

  C++ is an object-oriented programming (OOP) language that is viewed by many as the best language for creating large-scale applications. C++ is a superset of the C language. Continue Reading

• dimension

  In data warehousing, a dimension is a collection of reference information that supports a measurable event, such as a customer transaction. Continue Reading

• disambiguation

  Disambiguation is the process of determining a word's meaning -- or sense -- within its specific context. 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

• consumer privacy (customer privacy)

  Consumer privacy, also known as customer privacy, involves the handling and protection of the sensitive personal information provided by customers in the course of everyday transactions.Continue Reading

• ACID (atomicity, consistency, isolation, and durability)

  In transaction processing, ACID (atomicity, consistency, isolation, and durability) is an acronym and mnemonic device used to refer to the four essential properties a transaction should possess to ensure the integrity and reliability of the data ...Continue Reading

• snowflaking (snowflake schema)

  In data warehousing, snowflaking is a form of dimensional modeling in which dimensions are stored in multiple related dimension tables.Continue Reading

• data virtualization

  Data virtualization is an umbrella term used to describe an approach to data management that allows an application to retrieve and manipulate data without requiring technical details about the data.Continue Reading

• conformed dimension

  In data warehousing, a conformed dimension is a dimension that has the same meaning to every fact with which it relates.Continue Reading

• dimension table

  In data warehousing, a dimension table is a database table that stores attributes describing the facts in a fact table.Continue Reading

• 8 ways to drive business value with advanced analytics

  It can be difficult to get buy-in for analytical operations. These eight bottom-line benefits of data analytics -- with real-world examples -- can win over execs.Continue Reading

• 15 ways AI influences the data management landscape

  AI, NLP and machine learning advancements have become core to data management processes. Ask tool vendors how they use -- or fail to use -- AI in these 15 areas.Continue Reading

• How to create a data quality management process in 5 steps

  Data quality requires accurate and complete data that fits task-based needs. These five steps establish a data quality management process to ensure data fits its purpose.Continue Reading

• Hadoop

  Hadoop is an open source distributed processing framework that manages data processing and storage for big data applications in scalable clusters of computer servers.Continue Reading

• social analysis

  Social analysis is the practice of systematically examining a social problem, issue or trend, often with the aim of prompting changes in the situation being analyzed.Continue Reading

• text mining (text analytics)

  Text mining is the process of exploring and analyzing large amounts of unstructured text data aided by software that can identify concepts, patterns, topics, keywords and other attributes in the data.Continue Reading

• data replication

  Data replication is the process of copying data from one location to another.Continue Reading

• data lakehouse

  A data lakehouse is a data management architecture that combines the key features and the benefits of a data lake and a data warehouse.Continue Reading

• How to approach data mesh implementation

  Data mesh takes a decentralized approach to data management, setting it apart from data lakes and warehouses. Organizations can transition to data mesh with progressive steps.Continue Reading

• customer analytics (customer data analytics)

  Customer analytics, also called customer data analytics, is the systematic examination of a company's customer information and behavior to identify, attract and retain the most profitable customers.Continue Reading

• data pipeline

  A data pipeline is a set of network connections and processing steps that moves data from a source system to a target location and transforms it for planned business uses.Continue Reading

• Essential skills for data-centric developers

  To become more data-driven, organizations need data-centric developers. Developers can learn a mix of technical and interpersonal skills to be an attractive candidate for the job.Continue Reading

• Data steward responsibilities fill data quality role

  Data stewards tie together data operations. From quality to governance to boosting collaboration, data stewards are valuable members of any data effort.Continue Reading

• cloud disaster recovery (cloud DR)

  Cloud disaster recovery (cloud DR) is a combination of strategies and services intended to back up data, applications and other resources to public cloud or dedicated service providers.Continue Reading

• Enhance data governance with distributed data stewardship

  Data stewardship and distributed stewardship models bring different tools to data governance strategies. Organizations need to understand the differences to choose the best fit.Continue Reading

• backup as a service (BaaS)

  Backup as a service (BaaS) is an approach to backing up data that involves purchasing backup and recovery services from an online data backup provider.Continue Reading

• Data lakes: Key to the modern data management platform

  Data lakes influence the modern data management platform at all levels. Organizations can gain faster insights, save costs, improve governance and boost self-service data access.Continue Reading

• data integration

  Data integration is the process of combining data from multiple source systems to create unified sets of information for both operational and analytical uses.Continue Reading

• transcription error

  A transcription error is a type of data entry error commonly made by human operators or by optical character recognition (OCR) programs.Continue Reading

• MongoDB

  MongoDB is an open source NoSQL database management program.Continue Reading

• Data stewardship: Essential to data governance strategies

  As data governance gets increasingly complicated, data stewards are stepping in to manage security and quality. Without one, organizations lose speed, quality info and opportunity.Continue Reading

• data warehouse

  A data warehouse is a repository of data from an organization's operational systems and other sources that supports analytics applications to help drive business decision-making.Continue Reading

• Examples of real-time analytics for businesses

  Organizations use real-time analytics and automation to be more efficient and effective, whether it's in retail, healthcare, manufacturing or other verticals.Continue Reading

• What is cloud backup and how does it work?

  Cloud backup, also known as online backup or remote backup, is a strategy for sending a copy of a physical or virtual file or database to a secondary, off-site location for preservation in case of equipment failure, site catastrophe or human ...Continue Reading

• Fine-tune a social media emergency plan with ISO 22329:2021

  Social media and its effective management are major interests for emergency management professionals. Find out how ISO's recent standard can help guide a social media strategy.Continue Reading

• asset turnover ratio

  The asset turnover ratio is a measurement that shows how efficiently a company is using its owned resources to generate revenue or sales.Continue Reading

• Decision intelligence changes operations across industries

  Decision intelligence speeds up the process of delivering data to decision-makers efficiently, improving operations across industries including retail, healthcare and trucking.Continue Reading

• Effective business continuity requires evolution and a plan

  Investment in business continuity is one of the best ways to get an organization back on its feet during and after an incident. Updated plans are critical to avoid a crisis.Continue Reading

• Developing an emergency communications plan: A template for business continuity professionals

  Communicating details in a crisis is a vital part of BC and resilience planning. Follow the steps below and the associated template to prepare an emergency communication plan.Continue Reading

• database replication

  Database replication is the frequent electronic copying of data from a database in one computer or server to a database in another -- so that all users share the same level of information.Continue Reading

• Why BCDR teams should consider EMP disaster recovery plans

  An EMP event could be a major game changer depending on where it happens and who is affected. EMP disaster recovery might not seem urgent, but it never hurts to be prepared.Continue Reading

• DataOps

  DataOps is an Agile approach to designing, implementing and maintaining a distributed data architecture that will support a wide range of open source tools and frameworks in production.Continue Reading

• Comparing DBMS vs. RDBMS: Key differences

  A relational database management system is the most popular type of DBMS for business uses. Find out how RDBMS software differs from other DBMS technologies.Continue Reading

• data observability

  Data observability is a process and set of practices that aim to help data teams understand the overall health of the data in their organization's IT systems.Continue Reading

• Cloud-to-Cloud Backup (C2C Backup)

  C2C backup (cloud-to-cloud backup) is the practice of copying data stored on one cloud service to another cloud service. The backup stored on the second cloud service serves the same purpose as an off-site backup.Continue Reading

• virtual disaster recovery

  Virtual disaster recovery is a type of DR that typically involves replication and enables a user to fail over to virtualized workloads.Continue Reading

• network disaster recovery plan

  A network disaster recovery plan is a set of procedures designed to prepare an organization to respond to an interruption of network services during a natural or humanmade catastrophe.Continue Reading

• Full vs. incremental vs. differential: Comparing backup types

  Evaluate full vs. incremental vs. differential backup, as well as newer types of backup, in synthetic and incremental-forever, to determine what's best for your organization.Continue Reading

• Data tenancy maturity model boosts performance and security

  A data tenancy maturity model can boost an organization's data operations and help improve the protection of customer data. Improvement is tracked through tiers of data tenancy.Continue Reading

• What is a data warehouse analyst?

  Data warehouse analysts help organizations manage the repositories of analytics data and use them effectively. Here's a look at the role and its responsibilities.Continue Reading

• Data observability benefits entire data pipeline performance

  Data observability benefits include improving data quality and identifying issues in the pipeline process, but also has challenges organizations must solve for success.Continue Reading

• OPAC (Online Public Access Catalog)

  An OPAC (Online Public Access Catalog) is an online bibliography of a library collection that is available to the publicContinue Reading

• operational intelligence (OI)

  Operational intelligence (OI) is an approach to data analysis that enables decisions and actions in business operations to be based on real-time data as it's generated or collected by companies.Continue Reading

• Data analytics pipeline best practices: Data classification

  Data analytics pipelines collect a variety of data categories requiring efficient data organization. These data classification best practices can help improve pipeline performance.Continue Reading

• named entity

  In data mining, a named entity is a phrase that clearly identifies one item from a set of other items that have similar attributes.Continue Reading

• Data science quiz: Test your knowledge

  Interested in becoming a data scientist? This short quiz will test what you know about the data science process, required skills and how data scientists do their jobs.Continue Reading

• Create a flood business continuity plan to stay afloat

  In the event of a flood, don't settle for watered-down action plans. Download our free flood business continuity plan template to create a flood-specific recovery strategy.Continue Reading

• Data analytics pipeline best practices: Data governance

  Data analytics pipelines bring a plethora of benefits, but ensuring successful data initiatives also means following best practices for data governance in analytics pipelines.Continue Reading

• primary key (primary keyword)

  A primary key, also called a primary keyword, is a column in a relational database table that's distinctive for each record.Continue Reading

• citizen data scientist

  A citizen data scientist is an individual who does some data science work for an organization but doesn't hold the title of data scientist or have a formal background in advanced analytics, statistics or related disciplines.Continue Reading

• foreign key

  A foreign key is a column or columns of data in one table that refers to the unique data values -- often the primary key data -- in another table.Continue Reading

• How to reap the benefits of data integration, step by step

  A new book lays out a strong case for data integration and guides readers in how to carry out this essential process.Continue Reading

• Why a HIPAA disaster recovery plan is critical

  Disaster recovery is a complex and high-stakes operation. When healthcare data is in the mix, a good DR plan is even more crucial. Do you have a HIPAA disaster plan in place?Continue Reading

• What are some SAP HANA backup options available today?

  When backing up SAP HANA databases, having the right tools for the organization is critical. Data snapshots are one option, but not the only one available.Continue Reading

• How to build an effective DataOps team

  More organizations are turning to DataOps to bolster their data management operations. Learn how to build a team with the right people to ensure DataOps success.Continue Reading

• Use ISO/TS 22317:2021 to shape your business impact analysis

  ISO/TS 22317:2021 is a useful tool for BCDR practitioners and other personnel tasked with executing a BIA, which can often be a highly complex activity.Continue Reading

• data catalog

  A data catalog is a software application that creates an inventory of an organization's data assets to help data professionals and business users find relevant data for analytics uses.Continue Reading

• Key roles and responsibilities of the modern chief data officer

  Chief data officer roles and responsibilities are expanding beyond data strategy, as they are increasingly tasked with cultivating a data-driven culture.Continue Reading

• Natural language processing augments analytics and data use

  Natural language processing brings new tools to organizations to democratize data across the userbase in a simple, easy manner, but faces challenges with the nuances of language.Continue Reading

• The evolution of the chief data officer role

  Chief data officers are taking on additional responsibilities beyond data management as they strive to transform organizations' data culture and focus on value creation.Continue Reading

• How self-service BI capabilities improve data use

  Organizations can be more efficient problem solvers and enable users with self-service BI capabilities that bring more data and tools to their fingertips.Continue Reading

• Get the most out of Azure Site Recovery DRaaS

  For Azure users, the Site Recovery DRaaS tool provides reliable and accessible disaster recovery. Testing and good management are critical to get the most out of the service.Continue Reading

• 10 trends shaping the chief data officer role

  As data use increases and organizations turn to business intelligence to optimize information, these 10 chief data officer trends are shaping the role.Continue Reading

• DBMS keys: 8 types of keys defined

  Here's a guide to primary, super, foreign and candidate keys, what they're used for in relational database management systems and the differences among them.Continue Reading

• operational resilience

  Operational resilience is a business's ability to respond to and overcome adverse circumstances during operation that might cause financial loss or disrupt business services.Continue Reading

• organization resilience

  Organizational resilience is an organization's ability to anticipate issues ahead of time and develop a plan for handling identified problems.Continue Reading

• Free business impact analysis (BIA) template with instructions

  If you need to perform a business impact analysis, this guide and our free, downloadable template will assist you in your business continuity planning.Continue Reading

• How to evaluate and optimize data warehouse performance

  Organizations build data warehouses to satisfy their information management needs. Data warehouse optimization can help ensure that these warehouses achieve their full potential.Continue Reading

• A free business continuity plan template and guide

  A business continuity plan is critical for an organization when an unplanned event occurs. Follow this template and BC planning guidelines to get on the right path to resilience.Continue Reading

• 7 best practices for successful data governance programs

  A comprehensive, companywide data governance program strengthens data infrastructure, improves compliance initiatives, supports strategic intelligence and boosts customer loyalty.Continue Reading

• MicroStrategy

  MicroStrategy is an enterprise business intelligence (BI) application and software vendor.Continue Reading

• 3 considerations for a data compliance management strategy

  A data compliance management strategy is key for organizations to protect data the right way. Different positions have responsibility to ensure industry regulations are met.Continue Reading

• Sound business process architecture requires key traits

  Business processes require a coherent enterprise-level architecture. In this excerpt from his new book, Roger Burlton identifies key traits business processes should share.Continue Reading

• Data Dredging (data fishing)

  Data dredging -- sometimes referred to as data fishing -- is a data mining practice in which large data volumes are analyzed to find any possible relationships between them.Continue Reading

• 5 key elements of data tenancy

  Data tenancy is a key piece of any data protection scheme and can be crafted around five building blocks to provide safe, secure data access to users.Continue Reading

• What is data vaulting and how does it shape modern backups?

  Data vaulting methods, such as air gapping and active archives, help isolate and protect data backups from malicious deletion or accidental data loss.Continue Reading

• operational data store (ODS)

  An operational data store (ODS) is a type of database that's often used as an interim logical area for a data warehouse.Continue Reading

• multidimensional database (MDB)

  A multidimensional database (MDB) is a type of database that is optimized for data warehouse and online analytical processing (OLAP) applications.Continue Reading

• Self-service data preparation: What it is and how it helps users

  Using self-service tools to properly prepare data simplifies analytics and visualization tasks for business users and speeds complex modeling processes for data scientists.Continue Reading

• processing in memory (PIM)

  Processing in memory, or PIM (sometimes called processor in memory), refers to the integration of a processor with Random Access Memory (RAM) on a single chip.Continue Reading

• Tableau dashboard tips and tricks from an expert author

  In this excerpt from his new book on using Tableau CRM, data expert Mark Tossell takes readers step by step through best practices for dashboard creation.Continue Reading

• sharding

  Sharding is a type of database partitioning that separates large databases into smaller, faster, more easily managed parts.Continue Reading

• Box backup tips, options and considerations

  Backing up Box data? Look at your organization's retention policies, compliance requirements and complementary tools to form a solid Box backup strategy.Continue Reading

• Predictive analytics in marketing: Achieving success

  The use of predictive analytics in marketing is transforming how companies sell to customers, but the learning curve can be steep. Here's what you need to know to be successful.Continue Reading

• How to restore a Kubernetes cluster from an etcd snapshot

  In case of an event that leads to the loss of a Kubernetes cluster, it's important to be restore-ready. Here's how to restore a cluster from an etcd snapshot with commands.Continue Reading

• 5-step predictive analytics process cycle

  A viable predictive model that yields valuable outcomes requires a methodical team approach to goal-setting, data integrity and model development, deployment and validation.Continue Reading

• Predictive analytics in healthcare: 12 valuable use cases

  Predictive analytics' increasingly invasive presence in a host of healthcare applications yields more personalized patient care, earlier interventions and reduced hospital costs.Continue Reading

• What is embedded analytics, and how does it benefit BI?

  Here are the benefits of data managers using embedded analytics capabilities to use interactive dashboards and reporting techniques within existing business applications.Continue Reading

• tree structure

  A tree data structure is an algorithm for placing and locating files (called records or keys) in a database.Continue Reading