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📊 Top 5 Open-Source Tools Powering Big Data Innovation Big Data is transforming decision-making, and open-source tools are leading the charge. Here are the must-know platforms: 1️⃣ Apache Hadoop 🗂️ – The backbone for distributed storage & process

Here everything you must know about a star🚀 Bangalore based startup Lucidity, 👉 they claim to be the world’s only multi-cloud storage management platform, and recently they have raised $21💵 million in a Series A funding round led by WestBridge C

Krutrim, Ola’s AI venture and a sovereign cloud platform, is partnering with Cloudera to power large-scale analytics and data lake workloads on the Krutrim Cloud. The collaboration begins with Ola’s mission-critical workloads and will expand to othe

Google to build $15B AI data hub in India. 🔥 Google will invest $15 billion to set up a major AI data hub in Visakhapatnam, Andhra Pradesh, its largest AI hub outside the US – integrated into Google’s global AI center network over five years. 🤔 Wh

Databases are vital in web development, providing efficient data storage, management, and retrieval. They ensure data consistency, integrity, scalability, and security, making them essential for dynamic applications. 𝐓𝐲𝐩𝐞𝐬 𝐨𝐟 𝐃𝐚𝐭𝐚𝐛𝐚𝐬�

Ever wondered how your favorite websites load instantly, no matter where you are in the world? That’s the magic of a CDN (Content Delivery Network). Instead of sending data from one central server across the globe, smart delivery networks replicate a

Building a Smarter Enterprise IT Ecosystem for the Modern Workplace Enterprises today operate in a fast-moving digital environment where performance, security, and flexibility are non-negotiable. To stay competitive, organizations need a well-integ

Amazon's Profit Playbook We all love Amazon's deals, but how do they make money beyond discounts? 1. Matchmaker Fees: Amazon isn't a giant store - they connect brands with you, like a shopping mall. For each sale, they take a commission, fee for

5 Layers of AI Product Development. I've explained each in short, simple steps below. 1. 𝗔𝗽𝗽𝗹𝗶𝗰𝗮𝘁𝗶𝗼𝗻 𝗟𝗮𝘆𝗲𝗿 → Handles everything the user sees and interacts with → Ensures login security and smooth user experience → Stores session co

3 levels of human involvement in AI systems. I’ve explained each approach in simple steps below. 𝗛𝗜𝗧𝗟 (𝗛𝘂𝗺𝗮𝗻-𝗶𝗻-𝘁𝗵𝗲-𝗟𝗼𝗼𝗽) Humans are actively involved at every step, from collecting data to monitoring results and improving the mod