Nata in Data

Hello dears, here you can find cheat sheets for most commonly used AWS services in Data Engineering, like: * AWS Redshift Cheat Sheet * Amazon S3 Cheat Sheet * Amazon Athena Cheat Sheet * Amazon Kinesis Cheat Sheet Amazon Redshift Cheat Sheet Overview Amazon Redshift is a fully managed, petabyte-scale data warehouse service that

🎥 Watch Youtube tutorial 💻 Use Github repo Real case project to give you a hands-on experience in creating your own Airflow pipeline and grasping what Idempotency, Partitioning, and Backfilling are. 🧭 Plan: Pull OpenWeather API data → Data in data lake as Parquet files on GCP platform → Staging to Production tables in Data

Hello, dears, today we are gonna make AI Data Engineering Pet Project for beginners: including LangChain + Vertex AI PaLM API on BigQuery. This hands-on tutorial will show you how you can add generative AI features to your data warehouse with just a few lines of code using LangChain and LLMs

Welcome to the ever-evolving world of data engineering! Staying updated with the latest trends, technologies, and best practices is crucial for professionals in this dynamic field. One of the best ways to do that is by attending conferences that bring together experts, thought leaders, and enthusiasts to share their knowledge

Hello dears, I’ve just recently landed a new job as a Senior Data Engineer at TripAdvisor and I went through tons of Data Engineering interviews. While this is fresh in my mind, let me share with you the most common Data Engineering questions I’ve had, plus questions from

This is the example of Junior Data Engineer CV I've shown in my reel

While AI might taunt us with its abilities in these specific areas, it's crucial to remember that it's all in good fun. In reality, data engineers will still play a vital role in customizing solutions, ensuring data governance, and collaborating with teams. AI is here to assist, not to steal