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No, they are not mind maps.
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A 2-week’s worth of readings means a longer than usual list, as usual.
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This past week we were on holidays 🎉.
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Days of fire Kafka and thunder SSL.
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This Apache Spark feature has made us scratch our heads way too much.
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I had a very entertaining week.
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So, you want to debug some Go in VS Code.
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A week on holidays (in-between jobs), where I read more books than articles.
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Next week I start a new job 😮
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This edition has an unusually low amount of big data.
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This past week I’ve been on holidays in Cordoba.
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Not sure if bug or feature, but this is hard to pull off.
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This past week has been Data+AI Summit, so there are several new product announcements from Databricks.
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This week is Data+AI summit week.
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In which I write some easy Alloy code for a data model.
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Not much to report.
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Having to tweak a presentation for the Data+AI Summit time constraints has eaten all my disposable free time, hence the posting hiatus and this being relatively short.
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I have spent a big deal of these weeks moving my notes from Bear to Obsidian.
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Timezones and UTF are rocks you repeatedly hit in your data journey.
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Looks like my mojo is coming back.
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This edition is kind of strange: there’s more management than “code”.
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My days are consolidating into piano, work, VR, piano, sleep, loop
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This is not an overly long list, but covers a surprisingly large amount of topics.
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Sweet, sweet holidays.
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Sometimes I get an idea and I need to implement it.
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Not sure what I did this past week aside from finishing a post: I read very little.
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Lakehouse is the brand name for the underlying architecture of Databricks' Delta Lake: A data lake that is as performant as a data warehouse.
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This is also a video-heavy edition, I keep chugging along my watch list with Glancer
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Hive is arguably old.
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The video edition
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As promised, the numbering of these posts is now year-indexed.
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Managing logging in Spark ain’t easy, and is even harder in managed clouds like Databricks or EMR.
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Finishing and posting this got lost in a task manager reorganisation, it was due in June-July.
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The last of 2020.
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My reading list is at less than 10 items, so now my readings posts will hopefully look closer to watchings.
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I have been on holidays this week, playing VR and preparing videos for an online Python event I co-organise.
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This looks like a less hard technical edition than usual.
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A relatively common type of query for time-based SQL tables is a find the gap query.
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This is a short edition.
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Adventures with Applescript, AWK and Things
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Finished that post, now started the next.
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This is the next instalment on my quest to read and help understand interesting papers in the data space.
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I am having a very hard time finishing my summary of the RDD paper.
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I have played a ton of virtual table tennis this week.
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I have read quite a bit this week, I’m also preparing a summary of the RDD paper.
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After reading the Snowflake paper, I got curious about how similar engines work.
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I have dropped the Weekly from the title.
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In the midst of chaos, there is also opportunity.
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The one where Airflow messes with you.