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NJ Transit creates ‘data engine’ to fuel transformation

CIO

Since joining NJ Transit, Fazal has primarily been chipping away at his major goal: enabling data innovation. Data engine on wheels’. To mine more data out of a dated infrastructure, Fazal first had to modernize NJ Transit’s stack from the ground up to be geared for business benefit. Multicloud as enabler.

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Harnessing AI: A NetApp perspective

CIO

Our heritage is rooted in developing innovative solutions that address the challenges of storing, managing, and protecting data in a complex IT environment. All these applications are made possible by one thing: data. Our Python library of tools makes it easy for developers, data scientists, and data engineers to manage data.

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How companies around the world apply machine learning

O'Reilly Media - Data

Strata Data London will introduce technologies and techniques; showcase use cases; and highlight the importance of ethics, privacy, and security. The growing role of data and machine learning cuts across domains and industries. Data Science and Machine Learning sessions will cover tools, techniques, and case studies.

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How to Screen and Interview Fintech Data Engineer

Mobilunity

When it comes to financial technology, data engineers are the most important architects. As fintech continues to change the way standard financial services are done, the data engineer’s job becomes more and more important in shaping the future of the industry.

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Cloudera’s Bangalore Center of Excellence – Local Innovation Driving Global Impact

Cloudera

In the heart of India’s tech hub, Bangalore, you’ll find our Center of Excellence (CoE), an innovation hub focused on technological advancement. This diverse range of expertise ensures that our solutions are comprehensive and of the highest quality to support the data journeys of top enterprises globally.

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Key Data Engineer responsibilities

Apiumhub

Data engineer roles have gained significant popularity in recent years. Number of studies show that the number of data engineering job listings has increased by 50% over the year. And data science provides us with methods to make use of this data. Who are data engineers?

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Building a vision for real-time artificial intelligence

CIO

Real-time AI involves processing data for making decisions within a given time frame. Real-time AI brings together streaming data and machine learning algorithms to make fast and automated decisions; examples include recommendations, fraud detection, security monitoring, and chatbots. It isn’t easy.