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chollinger.com | ||
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sympathetic.ink
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| | | | | As I looked back at my experience working in data engineering for this post, I realized I never really consciously decided to specialize in data. It just kind of happened. The company I was working for was acquired by Yahoo! where Hadoop was emerging as the next industry leap in data processing. As I dug deeper in the platforms I was using and became interested in open source software, I inadvertently just did and I found there a career and a community. Now I'm going to talk about the evolution of the industry towards what I like to call the open data lake, also referred to as the Lakehouse pattern. To get there, we'll take a little trip back memory lane to understand better how we got there. | |
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bluexp.netapp.com
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| | | | | Learn why cloud automation is important, common use cases and tools you can use to implement it in your organization. | |
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www.ververica.com
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| | | | | Discover Fluss, a unified streaming storage solution for Apache Flink, revolutionizing real-time data processing and analytics with sub-second latency. | |
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mfashby.net
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| | | [AI summary] A review of the book 'Designing Data Intensive Applications' praising its progression from basic databases to complex data streaming systems and recommending it for software engineers designing scalable data architectures. | ||
