Managing costs efficiently in BigQuery is crucial to staying within budget. If you’re executing BigQuery queries from your code, this article will provide insights into reducing slot usage, ultimately saving you money. Understanding the Lifecycle of a BigQuery SQL Query To grasp how BigQuery works behind the scenes, let’s dive into the lifecycle of a SQL query: Query…

Over the past two years, I’ve explored various tools and strategies to boost my productivity. However, none of them truly made a significant impact until I discovered the two game-changing solutions I’m about to share in this article. Actions are louder than words. ~ Mark Twain. The Friction Problem One common issue I…

Redis is a popular in-memory data store known for its versatility and speed. It offers a range of data structures, including Sets, which allow you to store unique elements. While Redis provides a built-in mechanism to set an expiration time (TTL) for keys, it doesn’t have a direct feature to…

Working with large data sets in BigQuery requires careful consideration to ensure efficient and optimized data retrieval. In this blog post, we will explore strategies and techniques for reading large data sets from BigQuery using Node.js. By employing this, you can efficiently process and analyze massive amounts of data without…

Have you ever faced a situation where your Node.js application displays high latencies in the metrics when calling downstream services, but upon checking the turnaround time of the downstream service, it appears to be minimal? If yes, then what might have gone wrong with your metrics? Let’s consider an example…