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AWS Data Engineering Course - AWS Data Engineering Training in Bangalore

Visualpath is Leading Best AWS Data Engineering Course. Get an offering AWS Data Engineering Training in Bangalore. With experienced,real-time trainers. And real-time projects to help students gain practical skills and interview skills. We are providing 24/7 Access to Recorded Sessions to Individuals Globally Demanded in the USA, UK, Canada, India, and Australia,For more information,call on 91-7032290546<br>Bloglink:https://visualpathblogs.com/category/aws-data-engineering-with-data-analytics/<br>WhatsApp: https://wa.me/c/917032290546<br>Visit: https://www.visualpath.in/online-aws-data-engineerin

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AWS Data Engineering Course - AWS Data Engineering Training in Bangalore

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  1. Which AWS Storage Option Is Best for Big Data? www.visualpath.in +91-9989971070

  2. Key AWS Storage Services for Big Data • Amazon S3 (Simple Storage Service) • Amazon EFS (Elastic File System) • Amazon FSx • Amazon EBS (Elastic Block Store) • Amazon Glacier • AWS Lake Formation www.visualpath.in

  3. Amazon S3 - The Most Popular Option • Object storage service suitable for structured & unstructured data. • Scalable, durable, and cost-effective. • Supports data lakes, analytics, and machine learning. • Storage classes: Standard, Intelligent-Tiering, Glacier. www.visualpath.in

  4. Amazon EFS - Scalable File Storage • Fully managed file storage for multiple EC2 instances. • Suitable for big data applications requiring shared access. • Supports dynamic scaling with low-latency access. • Use cases: Machine learning, web serving, content management. www.visualpath.in

  5. Amazon FSx - High-Performance File Systems • Fully managed Windows File Server (FSx for Windows). • FSx for Lustre optimized for high-speed data processing. • Ideal for HPC, AI/ML, and financial analytics workloads. www.visualpath.in

  6. Amazon EBS - Persistent Block Storage • Provides high-performance, low-latency storage. • Best for applications needing block-level storage. • Limited scalability compared to S3 or EFS. • Use cases: Databases, log processing, high IOPS workloads. www.visualpath.in

  7. Amazon Glacier - Cost-Effective Cold Storage • Ideal for archival and long-term data retention. • Lower cost but retrieval times range from minutes to hours. • Use cases: Compliance data, backups, infrequently accessed files. www.visualpath.in

  8. AWS Lake Formation - Building a Data Lake • Helps create secure and governed data lakes. • Integrates with S3 and analytics services like Athena, Redshift. • Simplifies data ingestion, transformation, and cataloging. www.visualpath.in

  9. Choosing the Right Storage Option • For data lakes & analytics: Amazon S3. • For shared file storage: Amazon EFS. • For high-performance workloads: Amazon FSx. • For databases & applications: Amazon EBS. • For archival storage: Amazon Glacier. www.visualpath.in

  10. Conclusion • AWS offers diverse storage options for different big data needs. • Choosing the right option depends on use case, performance, and cost. • AWS services can be combined for optimal storage architecture. • Consider security, scalability, and long-term storage needs. www.visualpath.in

  11. Take Action – Enroll Today! Don’t miss the chance to future-proof your career. · secure your spot now! ·Visit ·https://www.visualpath.in/online-aws-data-engineering-course.html Visit to register today. to register today.

  12. Thank You www.visualpath.in

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