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Data companies vie to fill spots in AWS cloud data lineup

Third-party players looking to join Amazon Web Services' cloud data lineup tout hedges against cloud lock-in. The vendors must both compete and collaborate with the cloud leader.

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Definitions
  • big data

    Big data is an evolving term that describes a large volume of structured, semi-structured and unstructured data that has the potential to be mined for information and used in machine learning projects and other advanced analytics applications.

  • data catalog

    A data catalog is a metadata management tool designed to help organizations find and manage large amounts of data – including tables, files and databases – stored in their ERP, human resources, finance and e-commerce systems as well as other sources like social media feeds.

  • data modeling

    Data modeling is the process of documenting a complex software system design as an easily understood diagram, using text and symbols to represent the way data needs to flow.

Browse Data Management Topics

Integration

Find a wide selection of enterprise data integration (EDI) articles, tutorials, information and resources appropriate for business or technical backgrounds. Read tutorials about different corporate data integration methods, find out about industry trends and get personal advice from our team of EDI experts. Also, check out best practices for evaluating and deploying enterprise data integration software platforms and get tips and tricks through case studies that cover a variety of industries and specific applications, such as business intelligence data integration. Learn definitions and applications of common integration methods such as extract, transform and load (ETL), enterprise application integration (EAI), enterprise information integration (EII), enterprise data replication (EDR) and hand coding, and find out about data-as-a-service and information-as-a-service in a service-oriented architecture.

Recent Definitions

  • customer data integration (CDI)

    Customer data integration (CDI) is the process of defining, consolidating and managing customer information across an organization's business units and systems to achieve a "single version of the truth" for customer data.

  • 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.

  • master data management (MDM)

    Master data management (MDM) is a comprehensive method of enabling an enterprise to link all of its critical data to a common point of reference.

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Resources

Access a full collection of data management resources here. There's a lot going on in the data management industry beyond just technology innovations. Both business and technical professionals can benefit from these exclusive data management resources including tutorials, podcasts and articles about data management jobs, trends and the industry. Stay up-to-date on data management best practices and key industry trends that could affect organizational strategies.

Recent Definitions

  • customer data integration (CDI)

    Customer data integration (CDI) is the process of defining, consolidating and managing customer information across an organization's business units and systems to achieve a "single version of the truth" for customer data.

  • data janitor (data wrangler)

    A data janitor is an IT employee that cleans up big data sources to prepare them for data analysts and data scientists.

  • data management

    Data management is the practice of organizing and maintaining data processes to meet ongoing information lifecycle needs.

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Quality / governance

This topic section features a comprehensive collection selection of data governance and data quality management software and strategy resources, articles and templates. Get advice on data quality software management planning and implementation, data governance, data stewardship, data profiling and data cleansing from analysts and experts -- even pose specific questions to a panel of experts. Learn how other companies are managing data quality and governance through exclusive case studies that span industries. And, listen to exclusive podcasts with help and data quality management best practices straight from renowned experts.

Recent Definitions

  • data modeling

    Data modeling is the process of documenting a complex software system design as an easily understood diagram, using text and symbols to represent the way data needs to flow.

  • data quality

    Data quality is a perception or an assessment of data's fitness to serve its purpose in a given context.

  • data management

    Data management is the practice of organizing and maintaining data processes to meet ongoing information lifecycle needs.

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DBMS

A database management system (DBMS) is a critical IT infrastructure component. In this section, you’ll find news, advice and other information resources on database technology and database management issues. Learn about DBMS concepts, database best practices and the potential advantages of DBMS technology as well as database problems to watch out for. Get tips on designing enterprise database management systems, evaluating DBMS software and managing a database implementation. Stay up to date on the latest database trends and market-leading relational database technologies, such as Oracle databases, IBM DB2 and Microsoft SQL Server. Also, read about different types of database management systems, including open source databases. Get personalized advice and answers to your database questions from our panel of database experts, read book excerpts with DBMS examples and use our DBMS tutorials to help you prepare for your next database project.

Recent Definitions

  • data catalog

    A data catalog is a metadata management tool designed to help organizations find and manage large amounts of data – including tables, files and databases – stored in their ERP, human resources, finance and e-commerce systems as well as other sources like social media feeds.

  • Azure Data Studio (formerly SQL Operations Studio)

    Azure Data Studio is a Microsoft tool, originally named SQL Operations Studio, for managing SQL Server databases and cloud-based Azure SQL Database and Azure SQL Data Warehouse systems.

  • OLAP (online analytical processing)

    OLAP (online analytical processing) enables a user to easily and selectively extract and view data from different points-of-view.

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BI

Get the latest information about enterprise business intelligence (BI) software tools and market trends in articles, news and resources. Quickly learn how to develop or update a business intelligence strategy and roadmap, and find out what trends could affect an organization's business intelligence strategy. Get tutorials on business intelligence fundamentals and read many business intelligence case studies with tips, tricks and best practices from analysts, experts and end users. Find out more about where to find business intelligence jobs, training and the best certifications. And, read about related disciplines such as corporate performance management, business intelligence search, data analytics, predictive analytics, text mining, data mining, executive dashboards, performance scorecards and more.

Recent Definitions

  • Apache Hive

    Apache Hive is an open source data warehouse system for querying and analyzing large data sets that are principally stored in Hadoop files.

  • consumer privacy (customer privacy)

    Consumer privacy, also known as customer privacy, involves the handling and protection of sensitive personal information that individuals provide in the course of everyday transactions.

  • dark data

    Dark data is digital information that is not being used. Consulting and market research company Gartner Inc. describes dark data as "information assets that an organization collects, processes and stores in the course of its regular business activity, but generally fails to use for other purposes."

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ECM

Learn about the potential benefits and challenges of deploying enterprise content management systems and using enterprise content management software. Get information and expert advice on creating an enterprise content management strategy, selecting ECM software and managing ECM systems. Find resources on topics such as ECM training, ECM vendors and open source enterprise content management, plus news and best-practices guidance on unstructured data management and unstructured data analysis. Also, get answers to your ECM questions and ECM problems from our enterprise content management expert.

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Data warehouse

In this section, you’ll find news articles, case studies and other information resources on enterprise data warehousing and data warehouse management. Learn about data warehousing concepts, data warehousing best practices and data warehousing methodologies. Get expert advice on data warehousing basics, such as evaluating enterprise data warehouse software, selecting data warehouse vendors and managing a data warehouse system. Read case studies on data warehouse implementation projects, and get up to speed on technologies such as data warehousing tools and data warehouse appliance hardware. Also, get tips on data warehouse project management and answers to your questions on data warehouse architecture and data warehouse design issues, such as creating a data warehouse schema.

Recent Definitions

  • big data

    Big data is an evolving term that describes a large volume of structured, semi-structured and unstructured data that has the potential to be mined for information and used in machine learning projects and other advanced analytics applications.

  • data modeling

    Data modeling is the process of documenting a complex software system design as an easily understood diagram, using text and symbols to represent the way data needs to flow.

  • OLAP (online analytical processing)

    OLAP (online analytical processing) enables a user to easily and selectively extract and view data from different points-of-view.

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MDM

Enterprise master data management (MDM) promises to help organize data to achieve a "single view of the truth" -- but it's an emerging discipline that still presents many technical and organizational challenges. Learn how to design a master data management strategy with the expert advice in this topic section and read about the latest principles and trends in master data management (MDM) systems and best practices with a wide collection of articles, resources and tutorials. Read analyst firm studies about master data management (MDM) software and learn more about systems from vendors such as IBM and Kalido. Check out master data management (MDM) case studies or ask our expert panel for MDM advice. Also, see how companies use MDM practices like product information management (PIM) to manage catalogs or customer data integration (CDI) to reduce churn and improve customer service. And, find resources on related disciplines such as data governance for master data management projects, data quality management and enterprise data integration.

Recent Definitions

  • data catalog

    A data catalog is a metadata management tool designed to help organizations find and manage large amounts of data – including tables, files and databases – stored in their ERP, human resources, finance and e-commerce systems as well as other sources like social media feeds.

  • customer data integration (CDI)

    Customer data integration (CDI) is the process of defining, consolidating and managing customer information across an organization's business units and systems to achieve a "single version of the truth" for customer data.

  • master data management (MDM)

    Master data management (MDM) is a comprehensive method of enabling an enterprise to link all of its critical data to a common point of reference.

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Verticals

Your data management needs are often dependent on your industry, so we have dedicated a topic section to vertical data management strategies. Find resources for data management in the financial services, healthcare, manufacturing and retail industry. Explore industry-specific advice and case studies to help you design a strategy for managing data that meets the needs of your organization.

Recent Definitions

  • HIPAA (Health Insurance Portability and Accountability Act)

    HIPAA (Health Insurance Portability and Accountability Act of 1996) is United States legislation that provides data privacy and security provisions for safeguarding medical information.

  • edge analytics

    Edge analytics applies algorithms to data at the point of collection in order to trigger actions and determine what should be sent back to a central data repository and what should be discarded.

  • reference data

    Reference data, in the context of data management, are the data objects relevant to transactions, consisting of sets of values, statuses or classification schema.

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SearchCompliance

  • compliance audit

    A compliance audit is a comprehensive review of an organization's adherence to regulatory guidelines.

  • regulatory compliance

    Regulatory compliance is an organization's adherence to laws, regulations, guidelines and specifications relevant to its business...

  • Whistleblower Protection Act

    The Whistleblower Protection Act of 1989 is a law that protects federal government employees in the United States from ...

SearchSecurity

  • RSA algorithm (Rivest-Shamir-Adleman)

    The RSA algorithm is the basis of a cryptosystem -- a suite of cryptographic algorithms that are used for specific security ...

  • remote access

    Remote access is the ability to access a computer or a network remotely through a network connection.

  • IP Spoofing

    IP spoofing is the crafting of Internet Protocol (IP) packets with a source IP address that has been modified to impersonate ...

SearchHealthIT

SearchDisasterRecovery

  • virtual disaster recovery

    Virtual disaster recovery is a type of DR that typically involves replication and allows a user to fail over to virtualized ...

  • tabletop exercise (TTX)

    A tabletop exercise (TTX) is a disaster preparedness activity that takes participants through the process of dealing with a ...

  • risk mitigation

    Risk mitigation is a strategy to prepare for and lessen the effects of threats faced by a data center.

SearchStorage

  • disk array

    A disk array, also called a storage array, is a data storage system used for block-based storage, file-based storage or object ...

  • enterprise storage

    Enterprise storage is a centralized repository for business information that provides common data management, protection and data...

  • optical storage

    Optical storage is any storage type in which data is written and read with a laser. Typically, data is written to optical media, ...

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