https://aaron-ang.github.io/blog/data/Recent content in Data on Aaron AngHugoen-usWed, 19 Jul 2023 00:00:00 +0000https://aaron-ang.github.io/tinkering-with-spark/Wed, 19 Jul 2023 00:00:00 +0000https://aaron-ang.github.io/tinkering-with-spark/<h2 id="background">Background</h2> <p>In the summer of 2022, I interned at <a href="https://shopee.com/">Shopee</a> as a product analyst on the Search and Recommendation (SnR) data team. My primary responsibility was to deliver reliable and actionable analytics for product managers. Because we frequently ran large-scale queries throughout the day, any job delays or failures directly impacted reporting timelines and slowed progress toward feature improvements or releases.</p> <p>Our main tools for data processing and querying were <a href="https://prestodb.io/">Presto</a> and <a href="https://spark.apache.org/">Apache Spark</a>, supplemented by internal tools that abstracted away much of the underlying engineering complexity.</p>https://aaron-ang.github.io/my-thoughts-on-dashboards-are-dead-3-years-later/Mon, 03 Jul 2023 00:00:00 +0000https://aaron-ang.github.io/my-thoughts-on-dashboards-are-dead-3-years-later/<p><strong>Disclaimer:</strong> Excluding the TL;DR section, this article was written <strong>without</strong> any assistance from LLMs such as ChatGPT. While ChatGPT will probably write a better article than I do, my motivation is to express some candid thoughts and share my experiences. Writing this took way longer than it should have, but it’s always a nice feeling to pen down my reflections and have a finished product to show.</p> <h2 id="tldr-with-the-help-of-chatgpt-">TL;DR (with the help of ChatGPT 🤖)</h2> <p>Responding to a Medium article that I chanced upon, I discuss the evolving role of dashboards in data teams. While dashboards are not dying, the focus has shifted towards delivering information in the best way possible. Drawing from my personal experiences interning at fintech and e-commerce companies, I share insights on the varying needs for data presentation and the challenges faced in managing dashboards. I also explore the potential impact of AI on data teams and suggest that embracing AI can enhance workflows and create new opportunities for data practitioners. I conclude by expressing optimism about the future of technology roles and the value we can find in working with AI.</p>