This Multiplatform Data Architectures report explains in detail what MDAs are and do, with a focus on helping data professionals and their business counterparts worldwide architect, govern, and grow their MDAs for better business outcomes via well-integrated and unified distributed data from many sources.
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This Cloud Architect’s Handbook outlines 3 cloud data lake and cloud data warehouse architectures from real companies across a range of industries to show you just what’s possible with Microsoft Azure and Talend.
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Read this whitepaper to learn how to execute an API-first digital strategy, how to use APIs to leverage mobile, IoT, and social technology.
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What are Web APIs? How can companies design them and use them to extract maximum value out of their data? Download this Field Guide to Web APIs, written by Kin Lane, the API Evangelist.
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This guide reviews the 3 key capabilities to look for in a data quality tool so you can manage complexity and engage the right people in the data quality process.
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This guide shows you how to embed real-time data quality in business processes and applications so you can rein in the cost of bad data.
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This guide helps you define the problem and start to solve it. What is data quality? Why does it matter? What impact could it have on your organization?
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This TDWI checklist demonstrates how to reduce risk and disruption while implementing multi-cloud data integration and self-service data access.
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This Definitive Guide to Data Quality outlines how your organization can ensure good quality data for correct, actionable business intelligence.
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This white paper shows you how to spot bad data and debunks the 6 most common data quality myths.
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This executive summary gives you a quick overview of the risks and regulations related to data privacy, and a framework for addressing both without compromising on customer experience.
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This white paper by data governance expert Sunil Soares provides an overview of data protection and sovereignty legislation in APAC, Europe (GDPR) and North America as well as a practical approach for compliance.
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This eBook helps you understand the full capacity of what a true data lake can deliver and the four pillars required to support it.
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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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There’s a lot more to deploying Hadoop to the public cloud than simply renting machines. The right selection and set up helps you harness the features and flexibility of your cloud service to optimize your big data projects.
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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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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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To find out the state of the IoT and Big Data markets, the O’Reilly team analyzed 300 TB of text and billions of digital documents—search queries, meetups, hiring patterns, SEC filings, websites, and more.
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This handbook takes a deep dive into the IT architectures developed by 3 different enterprises for big data, real-time analytics, and ETL projects on Amazon Web Services (AWS) using Talend.
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This white paper by Bernard Marr from the Advanced Performance Institute tracks 6 key IT trends that make everyone and everything smarter—from machines to people to companies.
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The Cloud model lowers the barriers to entry—especially cost, complexity, and time-to-value—that have traditionally limited the adoption and successful use of data warehousing technology.
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Organizations today are supercharged by data, but most only analyze a fraction of what they collect. Find out how self-service analytics is building a data-driven culture across a range of companies.
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Who ever said that ESB (or Application Integration) was only made for large companies? Learn about the benefits of an open, easy to use ESB that adapts to all companies, no matter their size or needs.
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This report examines how innovative software is improving the data preparation process for IT and business users to help meet the demand for business analytics.
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