PySpark Data Engineer Interview experience at Big 4

Introduction: Can you provide an overview of your experience working with PySpark and big data processing?I have extensive experience working with PySpark for big data processing, having implemented scalable ETL pipelines, performed large-scale data transformations, and optimized Spark jobs for better performance. My work includes handling structured and unstructured data, integrating PySpark with databases, and... Continue Reading →

Data Engineering with Cloud Resources link

learn here about data pipeline for FREE.....data pipeline consists of several stages that work together to ensure that data is processed efficiently and accurately. it involves....1. data ingestion2. data transformation3. data analysis4. data visualisation5. data storage📌 complete data pipeline diagram can be found here....https://lnkd.in/gdifVyHY📌 FREE guide to data pipeline in AWS, Azure cloud....https://lnkd.in/gtq_8rd9📌 learn more... Continue Reading →

Google Cloud Associate Cloud engineer(ACE) Resources

I receive 10+ DMs daily regarding "How to start their journey in Google Cloud ". So I have curated a complete list of resources for The Google Cloud Associate Cloud engineer(ACE).1. Basics of Linux commands - https://lnkd.in/dN5BPhTq2. File system - https://lnkd.in/dkEAA_qU3. Linux Files Hierarchy Structure - https://lnkd.in/d8hQR5m44. Linux Directory Hierarchy Structure- https://lnkd.in/dWMNd6J95. Associate Cloud Engineer... Continue Reading →

Google Cloud Developer’s Cheat Sheet

All Products Compute Cloud Run: Serverless for containerized applications 🔗 📄 Cloud Functions: Event-driven serverless functions 🔗 📄 Compute Engine: VMs, GPUs, TPUs, Disks 🔗 📄 Kubernetes Engine (GKE): Managed Kubernetes/containers 🔗 📄 App Engine: Managed app platform 🔗 📄 Bare Metal Solution: Hardware for specialized workloads 🔗 Preemptible VMs: Short-lived compute instances 🔗 📄 Shielded VMs: Hardened VMs 🔗 📄 Sole-tenant nodes: Dedicated physical servers 🔗 📄 Storage Cloud Filestore: Managed... Continue Reading →

Top 7 GCP tools to learn for FREE.

Top 7 GCP #dataengineering tools to learn for FREE.....1. Google Bigqueryhttps://lnkd.in/g4Pvu8aq2. Google cloud Dataprochttps://lnkd.in/gZbJV_8shttps://lnkd.in/gkDeVqtb3. Google cloud Dataprephttps://lnkd.in/gF4G3uAK4. Google Cloud composerhttps://lnkd.in/gjfnYb3whttps://lnkd.in/grGTQYtT5. Google cloud Data Fusionhttps://lnkd.in/gfmxapqP6. Google Data Studiohttps://lnkd.in/gus75kYW7. Google cloud Dataflowhttps://lnkd.in/gyxKXaGU 8. Datawarehousing with Big query https://youtu.be/ZVgt1-LfWW4?si=dPVaNH9LgU-Wfo7s complete GCP Full course for FREE....https://lnkd.in/gi48NG3zResources are short and crispy, and definitely recommended.

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