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Friday 29nd September’s issue is presented by Flatfile |
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Streamline Your Business’s Data File Import
Flatfile gives developers a simple and secure way to build your ideal solution for importing CSV, Excel, and other data files.
Take advantage of their event-driven architecture, API library, and import functionality to build data import workflows that meet any requirement, using code to drive data logic, without the headache of building or maintaining the underlying plumbing yourself - win win. |
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How To Opt Out Of The Career Ladder — Jean Hsu
tl;dr: Jean explores the career ladder, particularly its alignment with definitions of success. “Working full-time? Strive to level up through promotions and checking off the leveling system’s boxes. Working as an IC? Climb the IC levels and then try to move into a leadership position.” Many individuals, especially those further in their careers, find the traditional ladder less appealing. Jean encourages readers to introspect on their values, understand the role they want work to play in their lives, and notice what genuinely sparks their interest. She shares personal experiences and emphasizes that the conventional career ladder doesn't have to dictate one's path.
CareerAdvice |
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5 Rules That Will Drive A Long, Healthy Career — Nikhyl Singhal
tl;dr: From the VP of Product at Facebook, each of the following is discussed in detail : (1) Product manage your career like it’s a product. (2) Ensure each transition is career additive. (3) Whom you know will matter as much as what you know. (4) Find a strength area and try to build a superpower in it. (5) Bet on yourself. CareerAdvice |
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Top 6 Considerations For CSV Import Solutions
tl;dr: When it comes to data import the “build vs. buy“ decision requires an understanding of what functionality is essential for your business. To help, we’ve conducted a survey that identifies the top 6 functionality requirements for import solutions.
Promoted by Flatfile
Guide |
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The Musk Algorithm — David Heinemeier Hansson
tl;dr: DHH highlights Musk's unique "algorithm" for success, which includes the following in order: questioning every requirement, deleting unnecessary parts or processes, simplifying, optimizing, accelerating cycle time, and finally, automating. While acknowledging Musk's controversial nature, DHH emphasizes the value of extracting wisdom from such figures without feeling compelled to emulate them entirely.
Leadership Management |
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“Later Equals Never”
— LeBlanc’s Law |
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Storage Challenges In The Evolution Of Database Architecture — Sujay Venaik
tl;dr: “Sync service has been running since 2014, and we started facing issues related to physical storage on the database layer. For context, sync service runs on an AWS RDS Aurora cluster that has a single primary writer node and 3-4 readers, all of which are r6g.8xlarge. AWS RDS has a physical storage size limit of 128TiB for each RDS cluster… We were hovering around ~95TB, and our rate of ingestion was ~2TB per month. At this rate, we realized we would see ingestion issues in another 6-8 months.” The team devised a three-pronged strategy: eliminating unused tables, revising their append-only tables approach, and methodically freeing up space from sizable tables. This strategy successfully reclaimed about 60TB of space.
Architecture Scale Database |
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Upsert In SQL — Anton Zhiyanov
tl;dr: Anton discusses the "Upsert" operation in SQL, which inserts new records and updates existing ones. The author provides interactive examples and demonstrates how different Database Management Systems handle upserts, including MySQL, SQLite and PostgreSQL.
Database |
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Is This A Date? Using ML To Identify Date Formats In File Names
tl;dr: “To make it easier for our users to organize and find their files, Dropbox has an automated feature called naming conventions. With this feature, users can set rules around how files should be named, and files uploaded to a specific folder will automatically be renamed to match the preferred convention. For example, files could be renamed to include a keyword or date… We developed a machine learning model that can accurately identify dates in a file name so that files can be renamed more effectively.” ML |
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How I Got Robbed Of My First Kernel Contribution — Ariel Miculas
tl;dr: “I spent a lot of time and effort doing root cause analysis, fixing the bug, testing and validating the fix, getting feedback from other engineers at my company, adapting the fix to the latest kernel version, and sending two different patches to the maintainer… Instead of accepting my patch or guiding me towards a better solution, he went ahead and implemented his own fix, giving me credit only for reporting the issue.”
OpenSource |
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Nue JS: Exceptionally small JS library for building web interfaces.
OpenTofu: Declaratively manage your cloud infrastructure.
Openv0: AI generated UI components
Valibot: Library for validating structural data.
Vizro: Toolkit for creating modular data viz apps.
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