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

Cloudera

For enterprise organizations, managing and operationalizing increasingly complex data across the business has presented a significant challenge for staying competitive in analytic and data science driven markets. Enterprise Data Engineering From the Ground Up. Figure 1: Key component within CDP Data Engineering.

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Modernizing Data Pipelines using Cloudera Data Platform – Part 1

Cloudera

As critical elements in supplying trusted, curated, and usable data for end-to-end analytic and machine learning workflows, the role of data pipelines is becoming indispensable. To keep up, data pipelines are being vigorously reshaped with modern tools and techniques.

Data 92
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Once Upon a Time in the Land of Data

Cloudera

A common theme that was highlighted continuously was using “storytelling” to relay the value that data and analytics teams bring to the business. This leads to a further challenge of the chief data and analytics officer’s role: Is the mission to play offense — drive revenue? Are you playing offense or defense?

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10 Platforms for Getting Started with Machine Learning

UruIT

Microsoft’s set of tools for machine learning includes Azure Machine Learning (which also covers Azure Machine Learning Studio), Power BI, Azure Data Lake, Azure HDInsight, Azure Stream Analytics and Azure Data Factory. Nowadays, MathWorks provides users with a sustained visibility in the general advanced analytics field.

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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.

Data 72
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Machine Learning basics: 10 Platforms to start learning and get awesome at it

UruIT

You can easily access our free eBook here: . Offers building blocks for creating a solution to a data science problem; . Grants support for carrying out data and analytics tasks; . We want to highlight SAS’s cloud-ready architecture, making analytics more accessible to a broader range of users. .

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Cloudera DataFlow’s key milestones and wins in 2020

Cloudera

Embracing the hybrid cloud model – We delivered all the key tenets of CDF on Cloudera Data Platform (CDP) Data Hub as well – Flow Management for Data Hub, Streams Messaging for Data Hub, and Streaming Analytics for Data Hub.