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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.

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Apiumhub among top IT industry leaders in Code Europe event

Apiumhub

This year you will have 6 unique tracks: Cloud Computing: IaaS, PaaS, SaaS DevOps: Microservices, Automation, ASRs Cybersecurity: Threats, Defenses, Tests Data Science: ML, AI, Big Data, Business Analytics Programming languages: C++, Python, Java, Javascript,Net Future & Inspire: Mobility, 5G data networks, Diversity, Blockchain, VR.

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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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Keys to AI Success for IT Staff

DataRobot

This approach gives freedom to move its AI artifacts around, regardless of whether they are hosted on a major cloud platform or its own on-premise infrastructure. Machine learning operations (MLOps) solutions allow all models to be monitored from a central location, regardless of where they are hosted or deployed. Download Now.

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Technology Trends for 2023

O'Reilly Media - Ideas

The signals are often confusing: for example, interest in content about the “big three” cloud providers is slightly down, while interest in content about cloud migration is significantly up. That’s a surprise, particularly since the operations world is still coming to terms with cloud computing. What does that mean?

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Remove the Barriers from AI Adoption

DataRobot

Of the organizations surveyed, 52 percent were seeking machine learning modelers and data scientists, 49 percent needed employees with a better understanding of business use cases, and 42 percent lacked people with data engineering skills. Process Deficiencies. “AI Your company can do that, too. Download Now.

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10 Platforms for Getting Started with Machine Learning

UruIT

Most recommended development and deployment platforms for machine learning projects. Are you getting started with Machine Learning? There’s a forecasted demand for Machine Learning among all kinds of industries. Innovative machine learning products and services on a trusted platform.