Getting Started with APIs
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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Content Types
Talend Products
A Field Guide to Web APIs
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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Choosing the Right Data Quality Tools
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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How to Manage Modern Data Quality
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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Data Quality: An Enterprise Necessity
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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The Cloud Data Integration Primer
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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The Definitive Guide to Data Quality
This Definitive Guide to Data Quality outlines how your organization can ensure good quality data for correct, actionable business intelligence.
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Debunking Data Quality Myths
This white paper shows you how to spot bad data and debunks the 6 most common data quality myths.
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Executive Summary: A Practical Guide to Data Privacy Compliance and Governance
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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GDPR, CCPA and Beyond: 16 Practical Steps to Global Data Privacy Compliance with Talend
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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Build a True Data Lake with a Cloud Data Warehouse
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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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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O’Reilly Report: Moving Hadoop to the Cloud
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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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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O’Reilly Report: The Internet of Things Market
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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How Leading Enterprises Achieve Business Transformation with Talend and AWS
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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6 Key Trends for IT Decision-Makers in 2017 and Beyond
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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Why Your Next Data Warehouse Should Be in the Cloud
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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Self-Service Analytics
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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Democratizing the ESB
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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Improving Data Preparation for Business Analytics
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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