DataVidhya @thedatavidhya
Crack your data interviews with us. Courses, Projects & Coding platform 🚀 datavidhya.com Joined January 2025-
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4 essential tips for Data Engineers Follow Datavidhya for more
Day 5 of 0→1 Series: Docker 🚀 The #1 containerization tool for data engineers. Why Docker in Data Engineering? Docker simplifies data engineering by packaging complex data pipelines, tools, and dependencies into portable containers. This ensures consistent environments…
Day 3 of 0→1 Series: Apache Airflow 🚀 The #1 orchestration tool for data engineers. ⚡ Automate ETL & ML workflows 🔗 Integrate with AWS/GCP/Spark 🔥 Scale with Celery/K8s 🌍 Trusted by Netflix, PayPal, Stripe Learn more: datavidhya.com
Are you an SQL query? Because you're the answer to all my relational problems 😍
Day 3 of Zero to One Series for Data Engineering ⚡ SQL Guide for Data Engineers Save it for your next project 1. Why Learn SQL: Universal language across DBs & cloud platforms Foundation for ETL/ELT & data transformations Optimized for large datasets with set-based ops…
Day 2 of Zero to One Series for Data Engineering ⚡ Apache Kafka Guide for Data Engineers Save it for your next project 1. Why Learn Kafka: - Handles millions of events/sec with low latency - Durable, fault-tolerant message broker - Powers real-time analytics & event-driven…
When the recruiter asks you to do a project breakdown
Starting our Zero to One Series for Data Engineering 🔥 Spark Zero to One Guide for Data Engineers Save it for your next project 1. Why Learn Spark: 100x faster than Hadoop MapReduce Unified platform: batch, streaming, ML, SQL Used by Netflix, Uber, Airbnb Core skill in 80%+…
Vinamra began his journey in Data Engineering with uncertainty but found clarity and confidence with Datavidhya. With our structured, all-in-one platform, he strengthened his fundamentals, practiced real-world skills, and grew confident enough to take on complex projects. Today,…
Top Job Platforms for Data Engineers 💼 Where to find your next opportunity: 1. Toptal: Premium vetted talent for high-quality contracts 2. Upwork: Large freelance marketplace for varied projects 3. Wellfound: Leading startup jobs platform for tech companies 4. Glassdoor:…
Complete MLOps Guide for Data Engineers 🚀 Save it for your next project Core Areas to Master: - Data pipelines & versioning - Feature stores & engineering - Model training & tracking - CI/CD deployment - Monitoring & retraining Essential Tools: - Airflow, MLflow, Kubeflow -…
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