Sat.Jul 07, 2018 - Fri.Jul 13, 2018

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Building Data Flows In Apache NiFi With Kevin Doran and Andy LoPresto - Episode 39

Data Engineering Podcast

Summary Data integration and routing is a constantly evolving problem and one that is fraught with edge cases and complicated requirements. The Apache NiFi project models this problem as a collection of data flows that are created through a self-service graphical interface. This framework provides a flexible platform for building a wide variety of integrations that can be managed and scaled easily to fit your particular needs.

Building 100
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Dortmund Turns Six

Zalando Engineering

Zalando’s maiden tech hub celebrates in style With our 10th anniversary celebrations coming up, 2018 is a very special year in the Zalando universe. But while the company celebrates 10 years, we in Dortmund are excited to celebrate our own birthday as we turn six. Every year in July, we stop for a moment in Dortmund to reflect on our past journey together and celebrate the opening of our Dortmund Tech Hub in 2012.

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The Data Science Iron Triangle – Modern BI and Machine Learning

Cloudera

The New Iron Triangle. It is cliché to discuss IT/business solutions as people, process, and technology. Some call it the “golden triangle,” but in this blog, we refer to it as the iron triangle. Since the 1960s, technology has disrupted business through the advent of computing and information management. These systems replaced highly manual operations such as record keeping, finance, and reporting.

BI 42
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Styling-API Reinvented

Zalando Engineering

Decoupled styling in UI components Styling isolation Styling isolation achieved via CSS-modules , various CSS-in-JS solutions or Shadow-DOM simulation is already a commonly used and embraced pattern. This important step in CSS evolution was really necessary for UI components to be used with more confidence. No more global scope causing name conflicts and CSS leaking in and out!

Media 40
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Get Better Network Graphs & Save Analysts Time

Many organizations today are unlocking the power of their data by using graph databases to feed downstream analytics, enahance visualizations, and more. Yet, when different graph nodes represent the same entity, graphs get messy. Watch this essential video with Senzing CEO Jeff Jonas on how adding entity resolution to a graph database condenses network graphs to improve analytics and save your analysts time.