Remove Data Engineering Remove Microservices Remove Weak Development Team
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Data Engineers of Netflix?—?Interview with Pallavi Phadnis

Netflix Tech

Data Engineers of Netflix?—?Interview Interview with Pallavi Phadnis This post is part of our “ Data Engineers of Netflix ” series, where our very own data engineers talk about their journeys to Data Engineering @ Netflix. Pallavi Phadnis is a Senior Software Engineer at Netflix.

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Unlocking the Power of AI with a Real-Time Data Strategy

CIO

Streaming data technologies unlock the ability to capture insights and take instant action on data that’s flowing into your organization; they’re a building block for developing applications that can respond in real-time to user actions, security threats, or other events. That’s not to say it’ll be easy.

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Microservices Adoption in 2020

O'Reilly Media - Ideas

Microservices seem to be everywhere. Scratch that: talk about microservices seems to be everywhere. So we wanted to determine to what extent, and how, O’Reilly subscribers are empirically using microservices. Here’s a summary of our key findings: Most adopters are successful with microservices. And that’s the problem.

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The Good and the Bad of Docker Containers

Altexsoft

Gone are the days of a web app being developed using a common LAMP (Linux, Apache, MySQL, and PHP ) stack. What’s more, this software may run either partly or completely on top of different hardware – from a developer’s computer to a production cloud provider. million monthly active developers sharing 13.7 Docker registries.

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The state of data quality in 2020

O'Reilly Media - Ideas

Data scientists and analysts, data engineers, and the people who manage them comprise 40% of the audience; developers and their managers, about 22%. Data quality might get worse before it gets better. Comparatively few organizations have created dedicated data quality teams. This is hardly surprising.

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The Good and the Bad of Apache Kafka Streaming Platform

Altexsoft

The technology was written in Java and Scala in LinkedIn to solve the internal problem of managing continuous data flows. process data in real time and run streaming analytics. With these basic concepts in mind, we can proceed to the explanation of Kafka’s strengths and weaknesses. Cloudera , focusing on Big Data analytics.

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Technology Trends for 2024

O'Reilly Media - Ideas

While we like to talk about how fast technology moves, internet time, and all that, in reality the last major new idea in software architecture was microservices, which dates to roughly 2015. Remember that these “units” are “viewed” by our users, who are largely professional software developers and programmers. What does this mean?

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