Remove Data Engineering Remove Google Cloud Remove Hardware Remove Microservices
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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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Beyond Hadoop

Kentik

So in 2010 Google one-upped Hadoop, publishing a white paper titled “Dremel: Interactive Analysis of Web-Scale Datasets.” Subsequently exposed as the BigQuery service within Google Cloud, Dremel is an alternative big data technology explicitly designed for blazingly fast ad hoc queries.

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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. Microservices saw a 20% drop. Many developers expressed frustration with microservices during the year and argued for a return to monoliths.

Trends 119
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Technology Trends for 2023

O'Reilly Media - Ideas

That’s a fairly good picture of our core audience’s interests: solidly technical, focused on software rather than hardware, but with a significant stake in business topics. The topics that saw the greatest growth were business (30%), design (23%), data (20%), security (20%), and hardware (19%)—all in the neighborhood of 20% growth.

Trends 137
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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. Depending on the hardware characteristics, even a single broker is enough to form a cluster handling tens and hundreds of thousands of events per second.

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Technology Trends for 2022

O'Reilly Media - Ideas

A quick look at bigram usage (word pairs) doesn’t really distinguish between “data science,” “data engineering,” “data analysis,” and other terms; the most common word pair with “data” is “data governance,” followed by “data science.”

Trends 111
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Where Programming, Ops, AI, and the Cloud are Headed in 2021

O'Reilly Media - Ideas

We’ll be working with microservices and serverless/functions-as-a-service in the cloud for a long time–and these are inherently concurrent systems. The biggest challenge facing operations teams in the coming year, and the biggest challenge facing data engineers, will be learning how to deploy AI systems effectively.