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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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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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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The GDPR has caused many organizations to revamp their data governance. Even organizations not in the European Union (EU) but that process EU client personal data must be GDPR compliant. Learn how to develop policies and controls that meet GDPR standards.
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Talend helps reduce the complexities of machine learning (ML) by providing a comprehensive ecosystem of user-friendly, self-service tools and technologies that seamlessly integrate ML concepts into your big data platform.
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Natural Language Processing (NLP) is a field of data science and artificial intelligence that studies how computers and languages interact.
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Machine learning is a technique that uses statistical probabilities to give computers the ability to “learn” over time via exposure to various external inputs.
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AI is machines mimicking human intelligence to perform tasks. Machine learning (ML) is an AI subfield where computers learn from big data without programming. Deep learning, a subset of ML, builds abstractions from datasets to construct meaning.
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Data management refers to the professional practice of constructing and maintaining a framework for ingesting, storing, mining, and archiving the data integral to modern business. Discover 7 types of data management, the benefits of doing it right, 3 best practices, and how to find the right tools.
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Follow along as we deploy our service, implement load balancing, and test our CRM integration in SoapUI.
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Learn how to enable XML mapping and join our data with string manipulation.
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Integrate a CRM system and implement error handling and load balancing with Talend ESB.
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Today, innovative organizations are embracing the Enterprise Service Bus (ESB) because it addresses all the headaches, roadblocks, and error that stems from the P2P integration style, and makes application integration headaches a thing of the past.
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See how an Enterprise Service Bus makes application integration faster and easier than point-to-point coding.
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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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Kafka and other streaming data frameworks now allow for a scalable, flexible way to move and process your streaming data.
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Data migration is the process of moving data from one system to another. See why it’s important, get best practices and key steps, and learn how to vet software.
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The General Data Protection Regulation (GDPR) addresses the security of the processing personal data. This requirement for data protection also applies to end-user computing (EUC) applications. Companies need to convert to another automation system or manage data protection within an EUC app.
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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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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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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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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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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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Talend Open Studio for Data Integration is the leading open source solution for data integration.
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Apache Spark is one of the most powerful tools available for high speed big data operations and management. Spark’s in-memory processing power and Talend’s single-source, GUI management tools are bringing unparalleled data agility to business intelligence.
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