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Amazon cloud database and data analytics expand

AWS expands its Redshift data warehouse capabilities including managed storage and query acceleration at the re:Invent 2019 conference, alongside a new managed Cassandra database service.

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Definitions
  • 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.

  • master data management (MDM)

    Master data management (MDM) is a process that creates a uniform set of data on customers, products, suppliers and other business entities from different IT systems.

  • 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.

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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

  • 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.

  • master data management (MDM)

    Master data management (MDM) is a process that creates a uniform set of data on customers, products, suppliers and other business entities from different IT systems.

  • What Is Data Management and Why Is It Important?

    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 look at the process.

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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

  • What Is Data Management and Why Is It Important?

    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 look at the process.

  • chief data officer (CDO)

    A chief data officer (CDO) is a C-level executive who is responsible for an organization's data use and data governance.

  • data scientist

    A data scientist is a professional responsible for collecting, analyzing and interpreting extremely large amounts of data. The data scientist role is an offshoot of several traditional technical roles, including mathematician, scientist, statistician and computer professional.

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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

  • master data management (MDM)

    Master data management (MDM) is a process that creates a uniform set of data on customers, products, suppliers and other business entities from different IT systems.

  • data quality

    Data quality is a measure of the condition of data based on factors such as accuracy, completeness, consistency, reliability and whether it's up to date.

  • What Is Data Management and Why Is It Important?

    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 look at the process.

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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

  • 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.

  • data classification

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

  • Entity Relationship Diagram (ERD)

    An entity relationship diagram (ERD), also known as an entity relationship model, is a graphical representation that depicts relationships among people, objects, places, concepts or events within an information technology (IT) system.

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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

  • business intelligence (BI)

    Business intelligence (BI) is a technology-driven process for analyzing data and presenting actionable information to help executives, managers and other corporate end users make informed business decisions.

  • Data as a Service (DaaS)

    Data as a Service (DaaS) is an information provision and distribution model in which data files (including text, images, sounds, and videos) are made available to customers over a network, typically the Internet.

  • USA Patriot Act

    The USA Patriot Act is a law enacted in 2001, granting new and extended data-collection abilities to federal agencies in an effort to combat terrorism after the September 11 attacks.

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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

  • What Is Data Management and Why Is It Important?

    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 look at the process.

  • Big data

    Big data is a combination of structured, semistructured and unstructured data collected by organizations that can be mined for information and used in machine learning projects, predictive modeling and other advanced analytics applications.

  • Hadoop

    Hadoop is an open source distributed processing framework that manages data processing and storage for big data applications running in clustered systems.

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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

  • master data management (MDM)

    Master data management (MDM) is a process that creates a uniform set of data on customers, products, suppliers and other business entities from different IT systems.

  • What Is Data Management and Why Is It Important?

    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 look at the process.

  • deterministic/probabilistic data

    Deterministic and probabilistic are opposing terms that can be used to describe customer data and how it is collected. Deterministic data is also referred to as first party data. Probabilistic data is information that is based on relational patterns and the likelihood of a certain outcome.

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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

  • risk management

    Risk management is the process of identifying, assessing and controlling threats to an organization's capital and earnings.

  • compliance as a service (CaaS)

    Compliance as a Service (CaaS) is a cloud service service level agreement (SLA) that specified how a managed service provider (...

  • data protection impact assessment (DPIA)

    A data protection impact assessment (DPIA) is a process designed to help organizations determine how data processing systems, ...

SearchSecurity

  • Port Scan

    A port scan is a series of messages sent by someone attempting to break into a computer to learn which computer network services ...

  • DMZ (networking)

    In computer networks, a DMZ (demilitarized zone), also sometimes known as a perimeter network or a screened subnetwork, is a ...

  • quantum supremacy

    Quantum supremacy is the experimental demonstration of a quantum computer's dominance and advantage over classic computers by ...

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SearchDisasterRecovery

  • business continuity plan (BCP)

    A business continuity plan (BCP) is a document that consists of the critical information an organization needs to continue ...

  • disaster recovery team

    A disaster recovery team is a group of individuals focused on planning, implementing, maintaining, auditing and testing an ...

  • cloud insurance

    Cloud insurance is any type of financial or data protection obtained by a cloud service provider. 

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