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Don’t Blink: You’ll Miss Something Amazing!

Cloudera

Every organization has some data that happens in real time, whether it is understanding what our users are doing on our websites or watching our systems and equipment as they perform mission critical tasks for us. This real-time data, when captured and analyzed in a timely manner, may deliver tremendous business value.

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New live online training courses

O'Reilly Media - Ideas

Business Applications of Blockchain , July 17. Ken Blanchard on Leading at a Higher Level: 4 Keys to Creating a High Performing Organization , June 13. Engineering Mentorship , June 24. Spotlight on Learning From Failure: Hiring Engineers with Jeff Potter , June 25. Performance Goals for Growth , July 31.

Course 65
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219+ live online training courses opened for June and July

O'Reilly Media - Ideas

Business Applications of Blockchain , July 17. Ken Blanchard on Leading at a Higher Level: 4 Keys to Creating a High Performing Organization , June 13. Engineering Mentorship , June 24. Spotlight on Learning From Failure: Hiring Engineers with Jeff Potter , June 25. Performance Goals for Growth , July 31.

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Data Summit 2023 Event Recap

Datavail

Attendees were able to explore solutions and strategies to help them unlock the power of their data and turn it into actionable insights. The event tackles topics on artificial intelligence, machine learning, data science, data management, predictive analytics, and business analytics.

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Altexsoft - Untitled Article

Altexsoft

We’ll review all the important aspects of their architecture, deployment, and performance so you can make an informed decision. Before jumping into the comparison of available products right away, it will be a good idea to get acquainted with the data warehousing basics first. Different data is processed in parallel on different nodes.

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Supply Chain Analytics: Opportunities in Data Analysis and Business Intelligence

Altexsoft

And planning, in turn, relies on understanding of current performance, past trends, existing risks, and possible future scenarios. To support the planning process, predictive analytics and machine learning (ML) techniques can be implemented. Another challenge is the never-ending need for optimization and maximizing performance.

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An Overview of Real Time Data Warehousing on Cloudera

Cloudera

Data processing and analytics drive their entire business. So they needed a data warehouse that could keep up with the scale of modern big data systems , but provide the semantics and query performance of a traditional relational database. Do not require updates to data.

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