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Analytics uses drive need for speed in working with big data

Today, analytics work is about speed. That means rapidly building clusters and transforming and querying data. Learn how users are streamlining digital business.

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  • Quantum machine learning may come knocking on analytics' door

    It was a phenomenon discovered 100 years ago. Now, as technology based on quantum mechanics emerges from labs, Accenture and others are setting their sights on quantum machine learning.

  • Database architecture design has to guard against DBMS chaos

    The proliferation of database technologies gives organizations more options to meet data processing needs. However, a strong architecture strategy is a must to avoid a DBMS free-for-all.

  • Business benefits of DevOps empower citizen developers

    The mysteries once associated with coding and application development are gradually giving way to the forces of market demand for speed and simplicity. No sooner did we get somewhat comfortable with DevOps and what it means that a new wrinkle has developed. Enter business leaders, users and low-code platforms, and in a flash, the "developer" universe is a bit more crowded.

    The December issue of Business Information opens with our editor's note and insight into the impetus behind this latest development, known as BizDevOps. Low-code and no-code platforms as well as modular technologies are smashing the slow, monolithic approach to app development and allowing businesspeople -- citizen developers -- to work with development and operations teams to produce custom apps more frequently and release them into the world a lot faster to remain competitive. Yet, the business benefits of DevOps can be too much of a good thing.

    Along those lines, our cover story examines a nemesis that haunts most businesses -- app sprawl. Ironically, the method that makes app development easier and faster can actually help stall the sprawl. Several companies using citizen developers tell us the advantages of implementing low-code platforms with a slant toward business and customer needs. In another feature, we show how the business benefits of DevOps and microservices in mobile app development grease the skids for companies in the throes of their digital transformation.

    Also in this issue, a well-known DevOps aficionado likens developing software to riding a skateboard, industry foot-soldiers sound off on the challenges of microservices, nontechnical developers earn their citizenship, traditional software developer jobs get less traditional, cloud communications technologies play a key role in digital-first companies and developer help wanted ads expand the definition of DevOps.

Definitions
  • data management

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

  • data governance (DG)

    Data governance (DG) is the overall management of the availability, usability, integrity and security of data used in an enterprise. A sound data governance program includes a governing body or council, a defined set of procedures and a plan to execute those procedures.

  • Google Cloud Spanner

    Google Cloud Spanner is a distributed relational database service that runs on Google Cloud.

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

  • data integration

    Data integration is the process of retrieving data from multiple source systems and combining it in such a way that it can yield consistent, comprehensive, current and correct information for business reporting and analysis.

  • data ingestion

    Data can be ingested in real time or in batches. When data is ingested in real time, each data item is imported as it is emitted by the source. When data is ingested in batches, data items are imported in discrete chunks at periodic intervals.

  • data preparation

    Data preparation is the process of aggregating and structuring data so that it can be used in business intelligence and analytics applications.

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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

  • data management

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

  • data scientist

    A data scientist is a professional responsible for collecting, analyzing and interpreting large amounts of data to identify ways to help a business improve operations and gain a competitive edge over rivals.

  • JAR file (Java Archive)

    A Java Archive, or JAR file, contains all of the various components that make up a self-contained, executable Java application, deployable Java applet or, most commonly, a Java library to which any Java Runtime Environment can link.

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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 management

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

  • Data Protection Bill 2017

    The Data Protection Bill 2017 is legislation that will replace the Data Protection Act of 1998. It is designed to balance the privacy needs of United Kingdom (UK) and European Union (EU) citizens with the interests of business.

  • data citizen

    A data citizen is an employee who relies on data to make decisions and perform job responsibilities. In both a government context and a data context, citizenship offers both rights and responsibilities.

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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

  • Microsoft Azure Cosmos DB

    Azure Cosmos DB is a Microsoft cloud database that supports multiple ways of storing and processing data. As such, it is classified as a multimodel database.

  • Microsoft SQL Server

    Microsoft SQL Server is a relational database management system, or RDBMS, that supports a wide variety of transaction processing, business intelligence and analytics applications in corporate IT environments

  • Oracle

    Oracle is one of the largest vendors in the enterprise IT market and the shorthand name of its flagship product, a relational database management system (RDBMS) that's formally called Oracle Database.

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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.

  • 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.

  • data gravity

    Data gravity is an attribute of data that is manifest in the way software and services are drawn to it relative to its mass (the amount of data).

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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

  • Google Cloud Spanner

    Google Cloud Spanner is a distributed relational database service that runs on Google Cloud.

  • smart city

    A smart city is a municipality that uses information and communication technologies to increase operational efficiency, share information with the public and improve both the quality of government services and citizen welfare.

  • semantic technology

    Semantic technology is a set of methods and tools that provide advanced means for categorizing and processing data, as well as for discovering relationships within varied 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 management

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

  • metadata management

    Metadata management is the oversight of data associated with data assets to ensure that information can be integrated, accessed, shared, linked, analyzed and maintained to best effect across an organization.

  • golden record

    A golden record is a single, well-defined version of all the data entities in an organizational ecosystem. Sometimes it's called the "single version of the truth," where "truth" is understood to mean the reference to which data users can turn when they want to ensure that they have the correct version of a piece of information.

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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

  • internal audit (IA)

    An internal audit (IA) is an organizational initiative to monitor and analyze its own business operations in order to determine ...

  • pure risk (absolute risk)

    Pure risk, also called absolute risk, is a category of threat that is beyond human control and has only one possible outcome if ...

  • risk assessment

    Risk assessment is the identification of hazards that could negatively impact an organization's ability to conduct business.

SearchSecurity

  • biometrics

    Biometrics is the measurement and statistical analysis of people's unique physical and behavioral characteristics.

  • principle of least privilege (POLP)

    The principle of least privilege (POLP), an important concept in computer security, is the practice of limiting access rights for...

  • identity management (ID management)

    Identity management (ID management) is the organizational process for identifying, authenticating and authorizing individuals or ...

SearchHealthIT

SearchDisasterRecovery

  • business continuity and disaster recovery (BCDR)

    Business continuity and disaster recovery (BCDR) are closely related practices that describe an organization's preparation for ...

  • business continuity plan (BCP)

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

  • call tree

    A call tree -- sometimes referred to as a phone tree -- is a telecommunications chain for notifying specific individuals of an ...

SearchStorage

SearchSolidStateStorage

  • hybrid hard disk drive (HDD)

    A hybrid hard disk drive is an electromechanical spinning hard disk that contains some amount of NAND Flash memory.

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