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8 Data Ingestion Tools (Quick Reference Guide)

Monte Carlo

At the heart of every data-driven decision is a deceptively simple question: How do you get the right data to the right place at the right time? The growing field of data ingestion tools offers a range of answers, each with implications to ponder.

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A 5D model to assess your IoT readiness

Cloudera

It is meant for you to assess if you have thought through processes such as continuous data ingestion, enterprise data integration and data governance. Data infrastructure readiness – IoT architectures can be insanely complex and sophisticated. Come and ask us questions about your IoT readiness.

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Accenture’s Smart Data Transition Toolkit Now Available for Cloudera Data Platform

Cloudera

While this “data tsunami” may pose a new set of challenges, it also opens up opportunities for a wide variety of high value business intelligence (BI) and other analytics use cases that most companies are eager to deploy. . Traditional data warehouse vendors may have maturity in data storage, modeling, and high-performance analysis.

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The Pros and Cons of Leading Data Management and Storage Solutions

The Modern Data Company

Data hubs allow organizations to centralize and share data from numerous sources, fostering collaboration and simplifying data integration across departments or applications. Data hubs often include data governance and quality management tools, which help ensure data consistency, security, and compliance.

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The Pros and Cons of Leading Data Management and Storage Solutions

The Modern Data Company

Data hubs allow organizations to centralize and share data from numerous sources, fostering collaboration and simplifying data integration across departments or applications. Data hubs often include data governance and quality management tools, which help ensure data consistency, security, and compliance.

article thumbnail

The Pros and Cons of Leading Data Management and Storage Solutions

The Modern Data Company

Data hubs allow organizations to centralize and share data from numerous sources, fostering collaboration and simplifying data integration across departments or applications. Data hubs often include data governance and quality management tools, which help ensure data consistency, security, and compliance.