GCP DATA
April 7, 2025 2025-08-20 16:18GCP DATA
GCP DATA
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GCP DATA
GCP Data training provides expertise in Google Cloud’s powerful data ecosystem. Participants learn to use BigQuery, Dataflow, and cloud-based pipelines for data storage, processing, and analysis, preparing them for cloud-first enterprises.
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+91 96660 64406
+91 96660 64406
Course Curriculum
What is Data Engineering, Google Cloud, Course Overview
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Why we need Cloud, Traditional vs Cloud, GCP Introduction, Why learn GCP, Notes Accessing
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How to Interact with GCP Console, Cloud Shell, Cloud SDK, Third Party Tools
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Console Walkthrough Console Overview, setup free Tier Account , Project Setup, Enable Billing, Enable APIs
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GCP Locations Regions, Zones, Selection Criteria, Importance
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GCP IAM \& Admin Introduction,Identities, Roles
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GCP IAM \& Admin Identities, Roles, Roles Types, Policy
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GCP IAM \& Admin Policy, Resource Hirarchy, Role Creation and Assignement, service account understanding
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Linux Basics ls, cp, mkdir, mv, cd, pwd, rm, touch, nano, rmdir, cat, head
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Google Cloud Storage Introduction, naming, location, storage class(standard, nearline, coldline, archive), retention policies
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Google Cloud Storage Bucket creation(Console, Shell), access control, Interacting Cloud Storage via Cloud Shell, commands
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Cloud SQL Introduction, creating demo-instance, Interact with Cloud SQL via Workbench, Cloud Shell
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Cloud SQL Interact with Cloud SQL via Workbench, Cloud Shell
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Cloud SQL Database Migration - Manual Method, Automated using DMS
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BigQuery Introduction, Architecture, working culture, creating sample dataset, table
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BigQuery different ways of creating table in BigQuery (Editor,Console, Shell, SDK), basic queries
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BigQuery Storage optimization techniques, partitioning (various types), clustering
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BigQuery spotify case study and assignements
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BigQuery working nested fields and repeated fields for better optimizations
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BigQuery views, materialized views and authorized views
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DataProc Hadoop and Spark Introduction, What is DataProc, Cluster Types and Cluster Creation
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DataProc pyspark, pyspark jobs, extract step - how to read the data from multiple data sources (csv, json, txt, avro, parquet, mysql, bigquery)
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DataProc load step - how to load the data to multple data sinks (csv, json, txt, avro, parquet, mysql, bigquery)
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DataProc transform step - how to perform various transformations-1
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DataProc transform step - how to perform various transformations-2, and assignements
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DataProc creating a pyspark job and submit to dataproc cluster
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DataProc End to End batch pipeline (dataproc, bigquery, gcs)
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Dataflow Introduction, Apache Beam pipeline Introduction, differemce between dataproc and dataflow
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Dataflow extract step - how to read the data from multiple data sources (csv, json, txt, avro, parquet, mysql, bigquery)
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Dataflow load step - how to load the data to multple data sinks (csv, json, txt, avro, parquet, mysql, bigquery)
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Dataflow transform step - how to perform various transformations-map, filter, pardo, groupbykey, combineperkey ..and assignements
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Dataflow creating beam pipeline, creating beam pipeline from templates(gcs to bigquery), pubsub
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Dataflow End to End Steaming pipeline creation (pubsub, dataflow, gcs, bigquery)
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ComposerAirflow introduction, What is DAG, how to create DAG, composer enviromenet creation, cron job format
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ComposerAirflow level\_1\_dag creation, logs checking and error fixing
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ComposerAirflow level\_2\_dag creation, levele\_3\_dag creation and assignements
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Datafusion Introduction and pipeline creation assigment, BigTable Overview for knowledge, types of databases
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Cloud Functions Introduction, why we need it, creating cloud function - gcs trigger and pubsub trigger - assignement
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Terraform introduction, terraform actions, lifecycle, creating infrastructure using terraform dataproc, bigquery dataset, variables for dynamic code
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final session Resume Assistance, Interview Prep and Certication Ready session
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