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What are the Top 5 AWS Mistakes to Avoid? AWS users are often found committing certain errors that compromise not only the overall performance but also the security aspect. This blog sheds light on the common AWS mistakes to avoid, as well as the tr

“Navigating the Data Odyssey: Top Data Analytics Trends for 2023”

what is the future of data analytics

AI relies on robust data management across 7 key components to build effective AI models: 1. sources, 2. ingestion, 3. storage, 4. transformation, 5. analytics, 6. governance and security, and 7. orchestration.

🔒 As an entry-level security analyst, safeguarding organizational assets against threats is paramount. Understanding the various forms of threats is key to fortifying our defenses. Here are two common types every analyst should be vigilant about: •

What Are the Best Data Security Platforms to Protect Your Business in 2025? In today’s digital landscape, protecting sensitive information is no longer optional—it’s essential. As cyber threats grow more complex, choosing the right tools can make or

📖 DAILY BOOK SUMMARIES 📖 🔗 DIRECT FREE E-BOOK DOWNLOAD LINK AVAILABLE — https://drive.google.com/file/d/1LPXErYkL3cgFNqSipXDUf5qI-xY8K9m4/view?usp=drivesdk 🔥 Competing on Analytics 🔥 🚀 20 Lessons 👉 ✨ Thomas H. Davenport ✨ 1. What is

All you need to launch a real product 1. Auth (signup, login, logout) 2. Database (store user actions) 3. Payments (get paid) 4. Security (protect your data) 5. Frontend (UI/UX) 6. Backend (APIs and logic) 7. Notifications (email, push) 8. Analytics

What do you think about building a blockchain from scratch to be used for data analytics with transperency. And also with integrity. I don't want crypto or nft or anything. Just for data security and transperency. Is this worthy to consider building?