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Enterprise data lakes hold the key to actionable insights

Technological pillars of sound business decisions, AI, machine learning and advanced analytics depend on the quantity, quality and integrity of information in data lakes.

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Definitions
  • feature engineering

    Feature engineering is the process that takes raw data and transforms it into features that can be used to create a predictive model using machine learning or statistical modeling, such as deep learning.

  • NoSQL (Not Only SQL database)

    NoSQL is an approach to database design that can accommodate a wide variety of data models, including key-value, document, columnar and graph formats.

  • Google BigQuery

    Google BigQuery is a cloud-based big data analytics web service for processing very large read-only data sets.

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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

  • feature engineering

    Feature engineering is the process that takes raw data and transforms it into features that can be used to create a predictive model using machine learning or statistical modeling, such as deep learning.

  • data preparation

    Data preparation is the process of gathering, combining, structuring and organizing data so it can be used in business intelligence (BI), analytics and data visualization applications.

  • 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.

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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

  • data analytics (DA)

    Data analytics (DA) is the process of examining data sets in order to find trends and draw conclusions about the information they contain.

  • What is data governance and why does it matter?

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

  • data governance policy

    A data governance policy is a documented set of guidelines for ensuring that an organization's data and information assets are managed consistently and used properly.

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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

  • NoSQL (Not Only SQL database)

    NoSQL is an approach to database design that can accommodate a wide variety of data models, including key-value, document, columnar and graph formats.

  • SQL (Structured Query Language)

    SQL (Structured Query Language) is a standardized programming language that's used to manage relational databases and perform various operations on the data in them.

  • 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.

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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 delivering actionable information that helps executives, managers and workers make informed business decisions.

  • data mining

    Data mining is the process of sorting through large data sets to identify patterns and establish relationships to solve problems through data analysis.

  • HIPAA (Health Insurance Portability and Accountability Act)

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

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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

  • 3Vs (volume, variety and velocity)

    The 3Vs (volume, variety and velocity) are three defining properties or dimensions of big data.

  • predictive modeling

    Predictive modeling, also called predictive analytics, is a mathematical process that seeks to predict future events or outcomes by analyzing patterns that are likely to forecast future results.

  • Google BigQuery

    Google BigQuery is a cloud-based big data analytics web service for processing very large read-only data sets.

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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.

  • 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.

  • 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.

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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

  • 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.

  • HIPAA (Health Insurance Portability and Accountability Act)

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

  • pop-up shop

    A pop-up shop is a temporary retail space that is typically used to introduce a new product line, test a new market or generate awareness for a product or cause.

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SearchCompliance

SearchSecurity

  • cyber attack

    A cyber attack is any attempt to gain unauthorized access to a computer, computing system or computer network with the intent to ...

  • backdoor (computing)

    A backdoor is a means to access a computer system or encrypted data that bypasses the system's customary security mechanisms.

  • post-quantum cryptography

    Post-quantum cryptography, also called quantum encryption, is the development of cryptographic systems for classical computers ...

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SearchDisasterRecovery

  • risk mitigation

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

  • call tree

    A call tree is a layered hierarchical communication model that is used to notify specific individuals of an event and coordinate ...

  • Disaster Recovery as a Service (DRaaS)

    Disaster recovery as a service (DRaaS) is the replication and hosting of physical or virtual servers by a third party to provide ...

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