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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What is Data Governance (and Why Do You Need It)?
Data governance establishes processes that ensure data quality and security across an organization. Learn why it’s important and how to get started.
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Pillars to GDPR Success: Data Access and Portability (5 of 5)
The GDPR gave consumers more rights to own their own data, and part of those provisions require organizations to provide access at any time. The final pillar of our 5 Pillars to GDPR Compliance philosophy is providing data access and portability, as a means to respect the data subject’s rights.
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Pillars to GDPR Success: Self-Service Curation and Certification (4 of 5)
With the rollout of General Data Protection Regulation (GDPR), fostering accountability across different teams gives more accurate data. A single platform that also enables employees with outside skill sets to easily access and input data can help.
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Pillars to GDPR Success: Anonymize and Pseudonymize for Data Protection with Data Masking (3 of 5)
Data protection is the main goal of General Data Protection Regulation (GDPR) compliance, and can be achieved two ways. Anonymization makes data relating to identity completely anonymous, while pseudonymization replaces identities with a pseudonym.
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Pillars to GDPR Success: Data Capture and Integration (2 of 5)
The General Data Protection Regulation (GDPR) requires organizations to host employee and customer data in one place. Data capture and integration is the collection of data and then transfer into a company’s systems for storage and company use.
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Pillars to GDPR Success: Data Classification and Lineage (1 of 5)
Data classification and lineage is the first of Talend’s 5 Pillars for GDPR compliance. Data lineage tracks the origin of data, and data classification is the sorting process of data into categories, based on user-defined characteristics.
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Managing Personal Data beyond the GDPR
How will organisations remain compliant and manage their data in the next five years?
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What is Data Redundancy?
Data redundancy occurs when the same piece of data is held within a database or data storage technology. Data can reoccur in two different fields within a single database, or two different spots in multiple software platforms or environments. Learn how MDM can avoid data redundancy and the problems it causes.
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Preparing for GDPR
The General Data Protection Regulation (GDPR) is a European Union regulation that will take effect on May 28, 2018, and failure to comply with GDPR can expose your organization to a penalty of up to 4% of global revenue. Get all the details and resources you need to make sure your organization is prepared for GDPR.
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GDPR: A quick way to reduce scope
This webinar shows you how to anonymize data from any pipeline or dataset, on the cloud or on premises. Whether you are a business user or an IT specialist, you can use Talend to protect personal data from unauthorized access.
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How to Create a Simple Matching Rule In Talend MDM (MDM, 3 of 3)
Match Rules are used to define how MDM decides whether two or more data records will match, and how to handle them if they do. Watch this short tutorial video, or walk through the instructions yourself, to learn how to create a simple match rule and incorporate it within a data integration job.
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Create and Deploy Your MDM Data Model in Talend (MDM, 2 of 3)
Learn how to create and deploy a data model used to master data within Talend MDM. Watch this short video, or walk through the notes yourself, to create a data container, create a data model, create a new view, assign permissions, and deploy to MDM.
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Introduction to Talend’s Master Data Management (MDM, 1 of 3)
Learn how Talend’s open source MDM platform has democratized MDM, and how to build out a data model, define data integration jobs, and manage data stewardship workflows. Watch the video or walk through the steps yourself to see how a graphical, fully integrated environment simplifies MDM.
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Practical Steps to Data Governance
This on-demand webinar shows you how to rein in data in the cloud age without compromising data-driven initiatives.
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Better Data Quality for All
Find out how easy it can be to master data quality across your data infrastructure with the right self-service tools and automated processes.
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Understanding Data Privacy & Governance
The rise of cloud technologies and data privacy laws are making data governance one of the most important functions of your data integration architecture.
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Big Data Quality
With the advent of big data, data quality management is both more important and more challenging than ever. Fortunately the combination of Hadoop open source distributed processing technologies and Talend open source data management solutions bring big data quality operations within the reach of any organization.
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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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Data Governance & Sovereignty: 16 Practical Steps towards Global Data Privacy Compliance
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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What is Master Data Management?
Master data management (MDM) is a method of enabling an organization to always work with—and make decisions based on—one version of current, ‘true’ data. Discover how it benefits a business, what challenges to plan for, and how to get started.
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Vinci keeps its customers informed in real-time thanks to Talend
Vinci uses Talend Data Integration, ESB, and MDM solutions to manage their data across different subsidiaries including Vinci Autoroutes (Motorway branch) allowing them to offer consumers a real time look into road conditions through a mobile application.
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Using Machine Learning for Data Quality
Learn how Big Data is changing the DQ methodology. Big Data has made Machine Learning (ML) mainstream and just as DQ has impacted ML, ML is also changing the DQ implementation methodology.
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Data Quality Tools
With the free to download, free to use data quality tools in Talend Open Studio for Data Quality, you can gain valuable knowledge about the current condition of your organization's stored data.
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Master Data Management
Talend, the leading provider of open source integration software, has now democratized master data management by developing the first complete open source MDM solution.
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