GCP Data Engineer Training in Hyderabad - GCP Data Engineer
                     Introduction to Cloud Data 
Engineering
Cloud data engineering is transforming how 
organizations harness their data, enabling scalable 
movement, processing, and analysis. Google Cloud 
Platform (GCP) provides a powerful suite of tools 
designed to simplify infrastructure management 
and support modern data pipelines. This 
presentation will explore key GCP services, 
archbiteyc tnuraavl peaettnerkn sv, aisnud abelpsta ptrahctices for 
building robust and intelligent data solutions.
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Core GCP Tools for Data Engineers
BigQuery
Fast SQL analytics at petabyte scale for interactive and complex queries.
Dataflow
Unified batch and stream processing service powered by Apache Beam.
Pub/Sub
Real-time messaging service for event-driven architectures and data ingestion.
Cloud Storage
Secure, highly durable, and cost-effective object storage for all data types.
Dataproc
Managed Spark and Hadoop service for big data processing and ETL workloads.
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Data Engineering Architecture on GCP
Building a robust data architecture on GCP involves a logical flow from data sources through ingestion, processing, analysis, and visualization. GCP 
services integrate seamlessly to provide a unified and orchestrated data pipeline.
Source Data
Originating from various systems.
Ingestion Layer
Bringing data into GCP.
Processing Engine
Transforming raw data.
Analysis Tier
Extracting insights.
Visualization
Presenting findings.
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Data Ingestion Techniques and Tools
Pub/Sub
For high-velocity, real-time event streams like IoT sensor data or clickstreams.
Cloud Storage
Ideal for batch uploads, archiving large datasets, and serving as a data lake landing zone.
Transfer Services
Tools like Transfer Appliance and Data Transfer Service for large-scale, offline migrations. Selecting the right ingestion method depends on data volume, velocity, 
and existing infrastructure. GCP offers flexible options for diverse data 
sources.
Cloud Functions
Serverless event-driven functions for triggering ingestion workflows based on events.
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Transforming Data with GCP Services
Data transformation is a critical step in preparing raw data for analysis, ensuring it is clean, 
consistent, and structured. GCP offers powerful services that cater to various transformation 
needs, from code-centric solutions to visual interfaces.
Dataflow Apache Beam
Robust, scalable processing Unified programming model 
and enrichment of pipeline for developing hybrid batch 
data using Apache Beam. and stream processing 
pipelines.
Dataprep BigQuery SQL
Interactive, code-free data Perform in-warehouse ELT 
transformation and (Extract, Load, Transform) 
preparation for analysts and directly within BigQuery 
engineers. using standard SQL.
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Data Storage and Optimization
BigQuery Storage
Optimized for analytics with cost-effective pricing based on data 
scanned, not stored. Partioned and clustered tables significantly boost 
query performance.
Cloud Storage Tiers
Cost-effective multi-tier object storage (Standard, Nearline, Coldline, 
Archive) allowing for lifecycle management and data archival 
strategies.
File Formats
Support for columnar formats like Avro, Parquet, and Orc, and 
structured formats like JSON, enabling efficient queries and storage.
Schema & Compression
Careful schema design and data compression strategies are crucial for 
optimizing both storage costs and query performance.
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Security, Monitoring, and Governance
Ensuring data security, effective monitoring, and robust governance is paramount in cloud data engineering. GCP provides a comprehensive suite of tools to manage and protect your data assets.
Cloud Monitoring
Comprehensive dashboards and alerting tools for tracking resource usage and pipeline health.
IAM (Identity and Access Management)
Granular, role-based access control across all GCP services, ensuring least privilege.
Cloud DLP (Data Loss Prevention)
Automated sensitive data discovery, classification, and de-identification for compliance.
Audit Logs
Detailed logs providing transparency and traceability for all administrative activities and data access.
Data Catalog
Fully managed metadata management service for data discovery, lineage, and governance.
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Use Cases and Career Outlook
1 2
Retail Finance
Real-time inventory tracking, Real-time fraud detection, algorithmic 
personalized product trading, and risk scoring models.
recommendations, and customer 
analytics.
3 4
Healthcare High Demand
Secure patient data integration, clinical Significant global demand for skilled 
trial analysis, and predictive GCP data engineers across industries.
diagnostics.
5
Career Growth
Certifications (e.g., Professional Data 
Engineer) and practical projects are key 
for advancement.
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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: [email protected]
+91-7032290546
THANK 
YOU Visit: www.visualpath.in
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