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Showing posts with the label DLT vs Traditional Databases

OTP India – Fast, Reliable & Secure OTP SMS Service in 2025

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OTP India is helping to keep online payments safe and secure. Many people use digital payments, but there are also frauds and scams. Thanks to OTP SMS services , India has reduced online fraud by making sure that only the right person can complete a transaction. Whether it’s banking, shopping, or using an app, OTP helps protect users. In this blog, we will learn how fast, reliable, and secure OTP SMS services are keeping India safe and why every business should use them in 2025. How OTP SMS is Making Online Transactions Safe in India Online payments are very common in India, but fraud and scams are also increasing. Many people lose money because of hacking, stolen passwords, or fake transactions. OTP (One-Time Password) SMS helps to keep online payments safe. When someone makes a payment or logs in to their account, they get an OTP on their phone. They must enter this OTP to complete the process. This makes sure that only the real user can access the account or make the payment. Banks...

DLT vs Traditional Databases

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In the ever-evolving landscape of data management, understanding the distinctions between Distributed Ledger Technology (DLT) and traditional databases is crucial. Let’s delve into these differences from a business and project management perspective, shedding light on their ultimate value propositions. Problems with Traditional Databases : Legacy Mainframes : Many companies still need old mainframes, coded in outdated languages, with complex and often poorly designed architectures. These systems are challenging to maintain, upgrade, and replace. Data Architecture Complexity : Beyond the database itself, other data architecture components play a vital role. Poorly designed non-database components can lead to data infrastructure issues. Refactoring Limitations : New data architectures are sometimes refactored into older programming languages, missing out on the full benefits. A complete upgrade of the data model and software codebase is essential for optimal results. Data Infrastructur...

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