Cloud Security and Integration: Fact vs Fiction
Cloud security is often cited as a major concern when migrating data to the cloud. Learn more about the impact of cloud on data security, privacy, compliance, and GDPR.
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Talend Studio Dynamic Distribution Support
The release of Talend 7 is our biggest yet, introducing improvements to cloud, big data, governance and developer productivity. But it is nearly impossible to keep up with every Platform’s release schedule. That’s why, in this latest release, we offer Dynamic Distribution Support for both Hortonworks and Cloudera with support for others coming soon.
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Put Massive Amounts of Data to Work
Talend Fall ’18 helps you organize, process, and share any amount of data faster and more efficiently than ever.
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18 Minutes to Understand How to Extract Information from SAP with Talend
18 Minutes to Understand How to Extract Information from SAP with Talend
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Introduction to Talend’s Master Data Management (MDM)
Introduction to Talend’s Master Data Management (MDM)
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IDC PlanScape: Data Intelligence Software for Data Governance
Download the report to empower your organization with a new set of roles and responsibilities, and improve data discovery, cataloging, profiling, and lineage with data intelligence software.
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Scale Data Access with Data Masking
Learn how to use masking, shuffling, and encryption to meet the latest data privacy regulations and prevent unauthorized access to sensitive data.
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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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What is Data Portability?
Data portability is the capability to move data from one platform or service to another.
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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 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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How to Enforce Compliance with Controls [GDPR Step 16]
The General Data Protection Regulation (GDPR) harmonizes data protection regulations and policies, and offers a detailed guideline on which aspects of data governance to focus on in order to protect the personal data of subjects. Learn how to enforce compliance across your organization with the right data tools.
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How to Set Up Data Sharing Agreements [GDPR Step 15]
The General Data Protection Regulation (GDPR) holds organizations & their vendors accountable for the protection of personal data. To ensure accountability & to assign clear responsibilities, legal data sharing agreements need to be set up. Learn to avoid messy situations during a breach & help protect personal data.
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How to Govern the Lifecycle of Information [GDPR Step 14]
The General Data Protection Regulation (GDPR) requires that organizations make data access and/or deletion easily available for data subjects. This requires companies to manage information lifecycle management (ILM), from creation through disposal, including consolidating data fragmented across systems.
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How to Govern Analytical Models [GDPR Step 12]
Analytical models feed off customer profiles to predict future behavioral patterns. The introduction of the General Data Protection Regulation (GDPR) requires ensuring that these do not interfere with the rights of data subjects. Learn how to make sure your organization is compliant.
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How to Stitch Data Lineage [GDPR Step 11]
Due to the General Data Protection Regulation (GDPR), organizations have to focus on data lineage of subjects, and track personal data through systems. By understanding lineage, organizations can tell who, when, and which system caused data to change, increasing data quality and security.
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How to Improve Data Quality [GDPR Step 10]
The General Data Protection Regulation (GDPR) pushes organizations to establish controls that allow data subjects to address personal information quality issues in a timely manner. Automated solutions and self-servicing tools can make it easy.
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How to Conduct Vendor Risk Assessments [GDPR Step 9]
Vendor risk assessment is a subset of data protection impact assessment impacted by the General Data Protection Regulation (GDPR). Most organizations examine internal systems, but often overlook third parties — suppliers and service providers.
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How to Conduct Data Protection Impact Assessments [GDPR Step 8]
The General Data Protection Regulation (GDPR) mandates a data protection impact assessment (DPIA) when data processing could pose a high risk to data subjects’ rights. A DPIA analyzes if a change to the process may compromise a subject’s privacy.
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How to Establish Data Masking Standards [GDPR Step 7]
The General Data Protection Regulation (GDPR) recognizes that some personal data can reveal a person’s identity, while other data may be processed or stored in a way that keeps the identity confidential. Data masking is an important part of GDPR compliance.
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How to Establish Data Collection Standards [GDPR Step 5]
It’s important to establish data collection standards with the General Data Protection Regulation (GDPR) coming into effect Data comes from everywhere in the big data era, so standards have to be set from both technology and process perspectives.
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How to Identify Critical Datasets and Critical Data Elements [GDPR Step 4]
Being able to identify critical datasets and critical data elements is crucial for GDPR compliance, but it’s not always easy. It requires a clear understanding of personal data and how it is stored, used, and protected.
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How to Confirm Data Owners [GDPR
Step 3]
In the context of General Data Protection Regulation (GDPR), data owners are accountable for the quality, integrity, and protection of the data they own. Establishing data owners is an important step for GDPR compliance.
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The Importance of Creating Data Taxonomy [GDPR Step 2]
With GDPR coming into effect, creating data taxonomy—the classification of data into categories and subcategories—is vital. Data taxonomy makes it easier to run profiling, clean data, and employ common terminologies and semantics across systems.
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