Full Resource Library

What is Machine Learning?

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 vs Machine Learning vs Deep Learning

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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What is Data Management?

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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How an ESB Simplifies Application Integration

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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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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What is Apache Spark?

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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5 Ways to Optimize Your Big Data

Big data is only getting bigger, which means now is the time to optimize. Optimizing big data means (1) removing latency in processing, (2) exploiting data in real time, (3) analyzing data prior to acting, and more. Learn how to get started today.

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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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