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Make Your Models Matter: What It Takes to Maximize Business Value from Your Machine Learning Initiatives

Cloudera

As we explain in our eBook , COPML is a comprehensive approach to ML model development and operation that takes a structured approach to the “ML wrangling” problems many enterprises face. An enterprise machine learning workflow from data engineers to business users. COPML: The Glue That Holds It All Together.

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Modernizing Data Pipelines using Cloudera Data Platform – Part 1

Cloudera

To keep up, data pipelines are being vigorously reshaped with modern tools and techniques. At Cloudera, we recently introduced several cutting-edge innovations in our Cloudera Data Engineering experience (CDE) as part of our Enterprise Data Cloud product — Cloudera Data Platform (CDP) — to serve the growing demands.

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Once Upon a Time in the Land of Data

Cloudera

There is a clear consensus that data teams should express their goals and results in business value terms and not in technical, tactical descriptions, such as “improving data engineering” and “better master data management.” . Cloudera has written an ebook together with Corinium on the success factors for CDAOs.

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How to Operationalize Your Data Science with Model Ops

TIBCO - Connected Intelligence

While data science and ML processes are focused on building models, Model Ops focuses on operationalizing the entire data science pipeline within a business system. In fact, many organizations have a dedicated Model Ops Engineer to facilitate this process.

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Cloudera DataFlow’s key milestones and wins in 2020

Cloudera

Click here for a quick overview video or download our eBook to get more details. While Eventador was already supporting cloud services for Kafka and Flink, one of its key products was SQLStream Builder, which enabled analysts and personas like those to access real-time streaming data with just simple SQL.

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Introducing CDP Data Engineering: Purpose Built Tooling For Accelerating Data Pipelines

Cloudera

With growing disparate data across everything from edge devices to individual lines of business needing to be consolidated, curated, and delivered for downstream consumption, it’s no wonder that data engineering has become the most in-demand role across businesses — growing at an estimated rate of 50% year over year.

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Apiumhub among top IT industry leaders in Code Europe event

Apiumhub

In a past life, he worked on educational solutions, pioneered the ebook industry, and co-founded Bookeen. Evgenii Vinogradov – Director, Analytical Solutions Department @YooMoneyon Evgenii is the Head of Data Engineering and Data Science team at YooMoney, the leading payment service provider on the CIS Market.