Google Cloud Data Engineer Training in Bangalore | GCP

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Data Processing with GCP A Beginners Handbook
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Introduction to GCP

• What is Google Cloud Platform (GCP)?
• Why use GCP for data processing?
• Common use cases Big data analytics, machine
  learning, data warehousing

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Core GCP Data Services

• BigQuery Data warehouse for analytics
• Cloud Dataflow Stream batch data processing
• Cloud Pub/Sub Real-time messaging
• Cloud Dataproc Managed Spark and Hadoop

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Data Processing Workflow on GCP

• Data ingestion ? Data storage ? Data
  transformation ? Data analysis
• Tools involved in each step
• Example flow Pub/Sub ? Dataflow ? BigQuery

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Ingesting and Storing Data

• Cloud Storage Object storage
• Cloud Pub/Sub Real-time ingestion
• Best practices for data ingestion

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Data Transformation ETL

• Using Cloud Dataflow for ETL
• Apache Beam basics (if applicable)
• Batch vs streaming pipelines

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Data Analysis with BigQuery

• Running SQL queries on large datasets
• Integration with Looker Studio
• Cost optimization tips

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Getting Started Resources

• Setting up a GCP project
• Free tier trial credits
• Recommended learning paths
• GCP Coursera courses
• Qwiklabs
• Google Cloud documentation

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Contact

• GCP Data Engineer
• Address- Flat no 205, 2nd Floor,
• Nilgiri Block, Aditya Enclave,
• Ameerpet, Hyderabad-1 
• Ph. No 91-7032290546 
• Visit www.visualpath.in 
• E-Mail online_at_visualpath.in

91-7032290546
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THANK YOU Visit
www.visualpath.in
91-7032290546