27 | Big Data & Analytics in Google Cloud Explained in Hindi | BigQuery, Dataflow, Pub/Sub, Genomics

इस वीडियो में हम शुरू कर रहे हैं Google Cloud Platform (GCP) के चौथे major building block – Big Data & Analytics Services. 🚀
इससे पहले हमने Level-1 में कवर किया है:
✅ Compute Services (VMs, GKE, Cloud Run)
✅ Storage Services (Cloud Storage, Persistent Disk)
✅ Database Services (Cloud SQL, Spanner, Firestore, Bigtable)

अब हम समझेंगे Google Cloud की Big Data दुनिया – जहां हम सीखेंगे कैसे massive data को ingest, process, store और analyze किया जाता है।

👉 In this video, you will learn:

What is Big Data and why traditional databases can’t handle it

Big Data workflow in GCP:
• Pub/Sub → Ingest events
• Dataflow → Process data (batch & stream)
• Dataproc → Run Hadoop/Spark clusters
• BigQuery → Store & analyze at petabyte scale
• Datalab / Vertex AI → Build ML models
• Genomics → Analyze DNA & biomedical data

Real-world use cases: Smart City 🚦 and Healthcare 🧬

✅ This video is part of Level-1: The Foundation (बुनियाद) of our Complete Google Cloud Platform (GCP) Course in Hindi – 2025 Edition.
👉 In Level-2, we’ll use these services live on the console and build real Big Data projects.

✨ About Implovate
This course is brought to you by Implovate, an official Google Cloud Partner.
We specialize in Google Cloud training, consulting, and services, helping students, developers, and businesses succeed in the cloud.

▶️ Watch the full GCP Course (Level -1 Foundation) here:    • Google Cloud Platform (GCP) Full Course in...  


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