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Improving Data Literacy Around Data Architecture

May 26, 2022 | 2:00PM EST | USA

Data Architecture
Data Literacy is an increasing concern, as organizations look to become more data-driven. As the rise of the citizen data scientist and self-service data analytics becomes increasingly common, the need for business users to understand core Data Management fundamentals is more important than ever. At the same time, technical roles need a strong foundation in Data Architecture principles and best practices. Join this webinar to understand the key components of Data Literacy, and practical ways to implement a Data Literacy program in your organization.
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Spotlight

Securing Hadoop Data for Visual Analytics with Arcadia Data (w/narration)

Arcadia Data provides a unified visual analytics and BI platform for big data. Because it runs natively on your Hadoop cluster, neither extracts nor additional hardware are required. Robust centralized security controls deliver robust role-based access control, down to granularity of rows and columns, and all the way to endpoint access, no extracts required.

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Expert Panel: Challenges of Distributing Data

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Tackling Data Quality problems requires more than a series of tactical, one-off improvement projects. By their nature, many Data Quality problems extend across and often beyond an organization. Addressing these issues requires a holistic architectural approach combining people, process, and technology. Join Nigel Turner and Donna Burbank as they provide practical ways to control Data Quality issues in your organization.
Register Now

Expert Panel: Challenges of Distributing Data

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Data management platforms are becoming increasingly distributed. Multicloud, edge, and other distributed cloud architectures are becoming more prominent in enterprise deployments, and data management architectures will need to keep pace to support evolving requirements.
Register Now

Seven Signs You Need to Invest in a Cloud Data Fabric

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The growing demand for data and the increase in data complexity are two factors limiting data-driven innovation. There are other factors, however, and data leaders often fail to recognize the red flags. In this webinar, Fern Halper, Ph.D., TDWI’s vice president and senior director of research for advanced analytics, will be joined by Dan Potter, Qlik’s vice president of product marketing, to discuss data architecture warning signs and how to manage competing requirements for successful data analytics.
Register Now

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Graph databases provide the ability to quickly discover and integrate key relationships between enterprise data sets. Business use cases such as recommendation engines, social networks, enterprise knowledge graphs, and more provide valuable ways to leverage graph databases in your organization. This webinar will provide an overview of graph database technologies, and how they can be used for practical applications to drive business value.
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Spotlight

Securing Hadoop Data for Visual Analytics with Arcadia Data (w/narration)

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