Big Data Pipeline Cheatsheet for AWS, Azure, and Google Cloud

If you work with databases, especially as a software developer, it's important to understand the difference between partitioning and sharding. 📌 𝐏𝐚𝐫𝐭𝐢𝐭𝐢𝐨𝐧𝐢𝐧𝐠 => the process of splitting a large table or index into smaller, more manageable pieces called partitions.

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Let's talk about - Redis 1./ Redis wasn't born in a lab, it was born from frustration. 😉 How? ➸ Back in 2009, Salvatore Sanfilippo needed a faster way to analyze website traffic for his startup. Existing databases just couldn't keep up. ➸ So, he built his own solution =>

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Are we living in the matrix? Could the entire universe be one massive, cosmic computer simulation? ✍️

How do computers understand data? With semantic search! Instead of just matching keywords, it understands context using vector embeddings. Here’s how: 1) Convert data (text, images, etc.) into vectors (embeddings) 2) Store these vectors in a vector database 3) Search by

Keep database access fast, so you have no issues. Here are 5 things that can help: 1- Use Indexing Wisely Start by indexing columns frequently used in WHERE clauses, JOIN conditions, and ORDER BY statements. Avoid adding too many indexes; it will slow down the insertion or

Three cities, three Paralympics, three medals! Mariyappan Thangavelu does it again! From Rio 2016 to Tokyo 2020 & now in Paris 2024 — another glorious medal in the Men's High Jump T63 winning Bronze Medal. A legacy etched in pure determination. The world witnesses your

#ISRO is set to reveal the thousands of images captured by the Vikram Lander and Pragyan Rover on #Chandrayaan3's landing anniversary, i.e. tomorrow!! 📸 🌖 Here's a sneak peek at some of those images: [1/3] Images taken by Pragyan's NavCam: 👇 (Read alt text for details)

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