GCP Data Engineer Training in Hyderabad - GCP Data Engineer

1. 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, architectural patterns, and best practices for building robust and intelligent data solutions. by naveenk visualpath +91-7032290546

2. 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. +91-7032290546

3. 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. +91-7032290546

4. 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 Selecting the right ingestion method depends on data volume, velocity, and existing infrastructure. GCP offers flexible options for diverse data sources. Tools like Transfer Appliance and Data Transfer Service for large-scale, offline migrations. Cloud Functions Serverless event-driven functions for triggering ingestion workflows based on events. +91-7032290546

5. 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 and enrichment of pipeline data using Apache Beam. Unified programming model for developing hybrid batch and stream processing pipelines. Dataprep BigQuery SQL Interactive, code-free data transformation and preparation for analysts and engineers. Perform in-warehouse ELT (Extract, Load, Transform) directly within BigQuery using standard SQL. +91-7032290546

6. 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. +91-7032290546

7. 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. +91-7032290546

8. Use Cases and Career Outlook 1 2 Retail Finance Real-time inventory tracking, personalized product recommendations, and customer analytics. Real-time fraud detection, algorithmic trading, and risk scoring models. 3 4 Healthcare High Demand Secure patient data integration, clinical trial analysis, and predictive diagnostics. Significant global demand for skilled GCP data engineers across industries. 5 Career Growth Certifications (e.g., Professional Data Engineer) and practical projects are key for advancement. +91-7032290546

9. 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@visualpath.in +91-7032290546

10. THANK YOU Visit: www.visualpath.in +91-7032290546