DATA MANAGEMENT

The technologies, architectures, and practices needed to manage data as a critical enterprise asset. It is a broad field, within which there are specialized disciplines.

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Onsite Education

Online Learning

Research & Resources

  • Big Data Management: Work Smarter Not Harder

    Download this e-book to learn how IT organizations can manage data smarter while maintaining or even reducing costs, so that business users can get real value from data faster and more easily. more

  • Emerging Design Patterns for Data Management Cloudera white paper cover

    This Checklist Report drills into some of the emerging data platforms that modern data-driven organizations are embracing. The goal is to accelerate users’ understanding of new data platforms so they can choose/use the ones that best support the new data-driven goals of their organizations. more

  • ESG: Efficiently Offloading and Optimizing BI Workloads to Hadoop with Cloudera Navigator Optimizer Cloudera white paper cover

    This ESG Lab Review documents the recent analysis of Cloudera Navigator Optimizer with a goal of validating its ability to enable organizations to identify and offload SQL workloads from legacy data marts and costly enterprise data warehouses (EDWs) to a modern analytic database built on Hadoop, while optimizing existing workloads already on Hadoop. more

  • Modernizing the Analytic Database with Cloudera Enterprise Cloudera white paper cover

    Learn how Cloudera Enterprise provides a new kind of analytic database designed to tap into the full value of your data. As an adaptive, high-performance, analytic database, it opens up BI and exploratory analytics over more data—using the skills analysts already rely on—to derive instant value. more

  • TDWI Checklist Report | Data Management for Data Lakes in the Cloud Informatica DM checklist cover image

    A lake or cloud can breathe new life into established enterprise data architectures (data warehouses, marketing channel data, digital supply chains) or create new and different ones (analytics labs and sandboxes, ecosystems of cloud-based operational applications). This report discusses the leading data management (DM) best practices you need for data lakes to be successful when deployed in the cloud. more

  • Transforming Life Insurance with Big Data and Machine Learning Cloudera Transforming Insurance cover

    Download this white paper to learn how Cloudera provides a new paradigm for breaking data silos, so insurers can blend and analyze data from any source, in any amount, and for all types of workloads. more

  • Drive Instant Insights with a Cloudera Enterprise Operational Database Cloudera Operational Database cover

    Download this white paper to learn how Cloudera Enterprise can supply your organization with right data at the right time for improved efficiency and customer insights. more

  • Data Drives Customer Insights Cloudera Data Drives Insights cover

    Download this white paper to learn how customer insights from data can help drive customer loyalty, improve customer experience, increase revenue, and reduce cost. more

  • A Modern Data Platform for the Cloud Cloudera Modern Data Platform cover

    Download this white paper to explore common application patterns companies are employing to get more value from their data in the cloud. more

  • From Data Warehouse to Data Sharehouse White paper cover

    Data has always been at the heart of the modern enterprise. For decades, though, most IT efforts have focused on data created by enterprise applications to support internal reporting and analysis. Today, it’s clear that focusing on internal data for business insight has become dangerously inadequate. more

  • The Past, Present, and Future of Data Warehousing White paper cover

    You need a powerful, simple, and affordable data warehouse built for the cloud to store and analyze all your data in one location. In this e-book, we’ll detail key insights you can use to champion modern data warehouse technology within your organization, helping it become a data-driven enterprise. more

Upside

Webinar

  • Six Strategies for Balancing Risk with Data Value

    Managing data for value is a business-oriented focus on the potential of data. It complements the all-too-common obsession with data’s technical requirements. Data value recognizes that data is a valuable business asset and should be leveraged accordingly. If you are managing data for value, your asset portfolio of data should be protected, grown, and governed. more

  • Extending Your Data Warehouse Environment with Hadoop: Bringing Enterprise and External Data Together

    Surveys run by TDWI show that roughly a fifth of mature data warehouse environments now include Hadoop in production. Hadoop is becoming entrenched in warehousing because it can improve many components of the data warehouse architecture—from data ingestion to analytics processing to archiving—all at scale with a reasonable price. more

  • What It Takes to Be Data-Driven: Technologies and Practices for Becoming a Smarter Organization

    Gut instinct alone is not enough to enable decisions that will drive success. Most businesses today believe in the power of BI and analytics to help drive insight and value. TDWI research indicates that the vast majority of organizations are using technology such as visual analytics and BI dashboards to help them gain insight. However, gaining insight and using that insight to make decisions are often two different things. more

  • Building a Successful Data Lake in the Cloud

    Data lakes on Hadoop have come on strong in recent years because they help many types of user organizations – from Internet firms to mainstream industries – capture big data at scale and analyze or otherwise process it for business value. more

  • Location Analytics for Your Data Lake: Driving New Business Insights and Outcomes

    Location information has been a growth area in recent years in data management, as user organizations of many sizes and industries have realized how location information can inspire new business insights, practices, and outcomes. In response, many users have reworked older enterprise data environments to enrich the data with more location information. At the same time they have begun capturing data from new sources that include location information, especially from sensors, machines, devices, vehicles, and the Internet of Things (IoT). Much of this new data is being managed in data lakes, which in turn are usually deployed atop Hadoop. more

  • Location Analytics for Your Data Lake: Driving New Business Insights and Outcomes

    Location information has been a growth area in recent years in data management, as user organizations of many sizes and industries have realized how location information can inspire new business insights, practices, and outcomes. In response, many users have reworked older enterprise data environments to enrich the data with more location information. At the same time they have begun capturing data from new sources that include location information, especially from sensors, machines, devices, vehicles, and the Internet of Things (IoT). Much of this new data is being managed in data lakes, which in turn are usually deployed atop Hadoop. more

  • Ask the Expert on Data Literacy
    TDWI Members Only

    Businesses of all types and sizes are becoming more and more defined by their data. As this happens, it is equally important to improve the ability of managers, staff and even the general public, to make decisions which are well-informed by an understanding of the data behind their choices. Data literacy is the ability to understand the nature of the data we work with, and the ways in which we can interpret and communicate through our use of this important resource. more

  • IoT’s Impact on Data Warehousing: Defining IoT in Terms of Its Data Requirements

    The Internet of Things (IoT) is a computing paradigm where a widening range of physical devices—including smartphones, vehicles, shipping pallets, kitchen appliances, manufacturing robots, and anything fitted with a sensor—can transmit data about their location, state, activity, and surroundings. Depending on the device type, some may also receive data and instructions that control device behavior. more

  • Ask the Expert: Data Science
    TDWI Members Only

    It’s hard to find a topic out there hotter than Data Science right now; and can be equally hard to find one more confusing. Data Science techniques have revolutionized nearly any industry you can imagine, and in some cases created whole new ones from thin air. Despite this, much of Data Science remains couched in mystery--a magic black box that is supposed to solve all of our problems. more

  • Making Multiplatform Data Architectures Work for You: Common Use Cases and Reference Architectures

    To leverage the new wave of advanced data sources available, users and architects are turning to a multiplatform data architecture (MDA), where numerous diverse data platforms and tools are integrated in a multiplatform, distributed architecture. An MDA is typified by an extreme diversity of platform types that may include multiple brands of relational databases, NoSQL platforms, in-memory functions, and tools for data integration, analytics, and stream processing. Any of these may be on premises, in the cloud, or in hybrid combinations of the two. more

  • Get More Business Value from a Data Lake via Data-as-a-Service (DaaS)

    Data lakes are coming on strong as a modern and practical way of managing the large volumes and broad range of data types and sources that enterprises are facing today. TDWI sees data lakes managing diverse data successfully for business-driven use cases, such as omni-channel marketing, multi-module ERP, the digital supply chain, and data warehouses extended for business analytics. Yet, even in business-driven examples like these, user organizations still haven’t achieved full business value and return on investment from their data lakes. more

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    Upcoming TDWI Events

    Conferences, Leadership Summits, Seminars, and Bootcamps

    • Conference TDWI Chicago Conference Chicago

      May 6-11, 2018
      Super Early Bird Ends March 16

      Join us for our annual conference, TDWI Chicago, to discuss the latest developments in enterprise data management, analytics, and business intelligence. Dive into industry best practices with world-renowned speakers and get in-depth training in all things data.

    • Leadership Summit TDWI Chicago Leadership Summit TDWI Leadership Summit

      May 7-8, 2018
      Super Early Bird Ends March 16

      The Chicago Leadership Summit is the best time to network, strategize, and get up-to-speed on new technologies and best practices. Join fellow business analytics and IT leaders in the Windy City learn how you can better enable your data team’s success.