Full Resource Library

2017 Gartner Magic Quadrant for Data Quality Tools

Data quality is both an essential part of the data integration process, and a cooperative endeavor between IT and business. We believe placement in the leaders’ quadrants for both data quality and data integration validates our position as the next generation leader for cloud and big data integration.

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A 16 Step Data Governance Plan for GDPR Compliance

Whether personal data comes from an online form, a business partner, an internal CRM or HR system, or your data lake, if it concerns an EU resident, it falls under GDPR. This white paper by data governance expert Sunil Soares provides a practical approach for compliance.

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Data Lakes: Purposes, Practices, Patterns, and Platforms

TDWI surveyed top data management professionals to discover 12 priorities for a successful data lake implementation. With the right tools, a data lake enables self-service data access and extends programs for data warehousing, analytics, data integration, and more data-driven solutions.

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Hadoop and Data Lakes

How widespread is usage of Hadoop and data lakes? What use cases are having the most impact? What’s holding big data back? Download the new research study from BARC to help plan your big data proof-of-concept or strategic initiative.

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TDWI: Governing Big Data and Hadoop

Get ready to take operational analytics and a 360-degree view of customers to a whole new level with big data. This new Checklist Report from TDWI covers governance best practices and tools for self-service access to big data, new data exploration and discovery, metadata management for big data, and more.

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Hadoop in the Enterprise

Can Hadoop today be considered enterprise software? Find out in this Wayne Eckerson's report how Hadoop is being deployed today and whether it’s yet time to move from test bed to production.

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