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๐ Excited to share a milestone in my app: Pennywise! I have set up a basic data backup pipeline that runs automatically on the 1st day of every month. This pipeline efficiently pulls data from a Microsoft Azure SQL Standard Tier Database and securely transfers it to a serverless tier SQL database on Azure. Why is this important on a broader scale? When handling user data, backing up information is not just a best practice but it's essential to protect against accidental loss, corruption, or unforeseen system failures. This process also aids in quick recovery, ensuring business continuity and maintaining user trust. Implementing this pipeline helps me maintain data integrity while optimizing costs with Azureโs serverless options. Taking proactive steps like this reinforces reliable and robust data management. Explore the app now: https://www.pwise.app #DataBackup #AzureSQL #CloudComputing #DataProtection #PennywiseProject
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๐ฆ Part 1: Data Extraction โ Starting the ETL Pipeline ๐ Welcome to Part 1 of my Azure-based ETL project series! In this part, I walk through how to extract raw data from a GitHub link and load it into Azure Data Lake (Gen2) using Azure Data Factor
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Open to Azure Data Engineer roles 3+ years of experience in data domain with strong skills in Azure Data Factory, Synapse, SQL, and Power BI. Microsoft Certified โ DP-900 Please let me know if there are any suitable openings. #AzureDataEngineer #Ope
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Introducing Apployd DB: Next-Generation Serverless PostgreSQL We're excited to announce Apployd DB, our modern serverless PostgreSQL platform designed to revolutionize how developers work with databases. ๐ After extensive development and testing,
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๐ Level Up Your Skills for FREE! Whether you're a student, professional, or lifelong learnerโthese curated courses are your gateway to growth in tech, data, and business. ๐ Explore top-tier content in: 1. Artificial Intelligence + Data Analyst
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As a backend engineer. You should learn: - System Design (scalability, microservices) -APIs (REST, GraphQL, gRPC) -Database Systems (SQL, NoSQL) -Distributed Systems (consistency, replication) -Caching (Redis, Memcached) -Security (OAuth2, JWT
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