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AWS Data Engineering - AWS Data Engineering Training Institute

Elevate your cloud skills with Visualpathu2019sAWS Data Engineering Course, designed for professionals aiming to master real-time data pipelines. This AWS Data Engineering Training Institute includes hands-on labs, live projects, and expert guidance. Join learners from India, USA, UK, Canada, and Australia. Gain job-ready skills and stay ahead in the cloud industry. Call 91-7032290546 now.<br>Visit: https://www.visualpath.in/online-aws-data-engineering-course.html<br>WhatsApp: https://wa.me/c/917032290546<br>Blog link: https://visualpathblogs.com/category/aws-data-engineering-with-data-analytics/<br>

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AWS Data Engineering - AWS Data Engineering Training Institute

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  1. Introduction to Big Data Engineering on AWS This presentation explores big data engineering on AWS, covering the lifecycle, core services, and real-world applications. We'll examine how cloud solutions streamline data processing from ingestion to analytics, highlighting AWS's role in scaling big data workloads. +91-7032290546

  2. Core AWS Services for Big Data Amazon S3 Amazon EMR AWS Glue Scalable and durable object storage for data lakes. Managed Hadoop framework for big data processing. Serverless data integration and ETL service. Amazon Redshift Amazon Kinesis Petabyte-scale cloud data warehousing. Real-time data streaming and processing. +91-7032290546

  3. Data Ingestion Strategies Batch Ingestion Diverse Data Sources • AWS Glue for ETL pipelines into S3. • Integrating external APIs and databases. • Efficiently loading large datasets. • Handling semi-structured (JSON, XML) and unstructured data. Real-time Ingestion Monitoring & Logging • Kinesis Data Streams for continuous data flow. • CloudWatch for ingestion health. • Low-latency processing for immediate insights. • Ensuring data integrity and audit trails. +91-7032290546

  4. Data Storage and Lake Architecture Building a robust data lake is crucial. Amazon S3 forms the foundation for scalable storage. AWS Lake Formation centralizes security and access control, ensuring data governance. Efficient partitioning and cataloging via Glue Data Catalog optimize query performance and cost. +91-7032290546

  5. Data Processing and ETL AWS Glue EMR & Spark Step Functions Serverless ETL for data transformation. Parallel processing for large-scale data. Orchestrate complex ETL workflows. Automated schema detection. Customizable compute environments. State management and error handling. +91-7032290546

  6. Data Warehousing and Analytics Amazon Redshift ML-Powered Analytics • Columnar storage for analytical queries. • Redshift ML for in-database machine learning. • Scalable clusters for diverse workloads. • Predictive analytics without data movement. Querying & BI Optimization • Redshift Spectrum for S3 data. • Workload management for performance. • Athena for serverless query on data lakes. • Cost efficiency through elastic scaling. • QuickSight for interactive dashboards. +91-7032290546

  7. Real-Time Data Streaming IoT Logs Fraud IoT Data Application Logs Fraud Detection Sensor data for immediate insights. Real-time monitoring and anomaly detection. Instantaneous transaction analysis. Kinesis Data Streams vs. Firehose: Choose streams for custom processing, Firehose for simple delivery. Use Kinesis with Lambda for real-time ETL. +91-7032290546

  8. Best Practices & Career Outlook Key Practices Career Growth • Strategic tool selection for each data stage. • AWS Data Engineer certification enhances expertise. • Focus on scalability, security, and cost-efficiency. • Roles in data architecture, MLOps, and analytics. • Prioritize data governance and compliance. • Continuous learning is vital in this evolving field. +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

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