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TDWI Upside - Where Data Means Business

Executive Perspective: The Power of Graph Databases

In business, it’s critical to establish and nurture customer relationships. In the world of data analytics, relationships are just as important. Alicia Frame, lead product manager for data science at Neo4j, a graph database vendor, explains how this technology helps enterprises maximize data relationships.

Modernizing Your Data Team and Its Best Practices

As you modernize your tools and platforms for data management to keep pace with evolving business requirements, take time to modernize your data team.

Platform Architecture and Data Architecture Are Different but Related

Many people (even experienced data pros) confuse related architectures, weakening data-driven solution designs and their business use cases.

Executive Q & A: Bursting Data to the Cloud

With so much data to store and analyze, no wonder hybrid cloud solutions are gaining favor. Haoyuan (H.Y.) Li, the founder and CEO of Alluxio, offers his perspective and best practices.

Can the New Thing Replace the Old Thing?

This is an important question to ask about many new IT systems and tools. The answer depends on many factors -- including forming the question properly.

Benefits and Best Practices for Data Virtualization in the Real World

Ralph Aloe, director of enterprise information management at Prudential Financial, Inc., explains how his enterprise put data virtualization to use, including how the technology fits in with their data fabric, benefits they enjoyed, and lessons they learned.

Self-Service Ingestion: The Key to Creating a Unified, Scalable, Cloud Data Lake

Self-service ingestion helps enterprises capture, enrich, and process data smoothly and free up data and IT pros to focus on higher-value tasks.

Executive Perspective: Solving the Big Challenges of Big Data

As your enterprise data volumes grow, you face significant changes. Ted Dunning, HPE's Data Fabric chief technology officer, explains the expected -- and unexpected -- challenges you'll face and how your data management practices will change accordingly.

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