Remove Data Engineering Remove Google Cloud Remove Metrics Remove Weak Development Team
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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. What does the high-performance data project have to do with the real Franz Kafka’s heritage? process data in real time and run streaming analytics. How Apache Kafka streams relate to Franz Kafka’s books.

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Technology Trends for 2024

O'Reilly Media - Ideas

Just a few notes on methodology: This report is based on O’Reilly’s internal “Units Viewed” metric. The data used in this report covers January through November in 2022 and 2023. Remember that these “units” are “viewed” by our users, who are largely professional software developers and programmers. What does this mean?

Trends 116
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Accelerate Moving to CDP with Workload Manager

Cloudera

WM reveals strengths and weaknesses in workloads that run on Cloudera clusters. Performance metrics appear in charts and graphs. . We compare the current run of a job to a baseline derived from performance metrics. Fixed Reports / Data Engineering jobs . Fixed Reports / Data Engineering Jobs.

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Technology Trends for 2023

O'Reilly Media - Ideas

Now developers are using AI to write software. Methodology This report is based on our internal “units viewed” metric, which is a single metric across all the media types included in our platform: ebooks, of course, but also videos and live training courses. A lot has happened in the past year.

Trends 134
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MLOps: Methods and Tools of DevOps for Machine Learning

Altexsoft

The fusion of terms “machine learning” and “operations”, MLOps is a set of methods to automate the lifecycle of machine learning algorithms in production — from initial model training to deployment to retraining against new data. MLOps lies at the confluence of ML, data engineering, and DevOps. Source: Google Cloud.

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AI Adoption in the Enterprise 2021

O'Reilly Media - Ideas

We were also interested in the practice of AI: how developers work, what techniques and tools they use, what their concerns are, and what development practices are in place. That clearly doesn’t reflect reality; China is a leader in AI and probably has more AI developers than any other nation, including the US.

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Technology Trends for 2022

O'Reilly Media - Ideas

AI is making that transition now; we can see it in our data. What developments represent new ways of thinking, and what do those ways of thinking mean? What are the bigger changes shaping the future of software development and software architecture? What does that mean, and how is it affecting software developers?

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