1 / 11

AWS Data Engineer online course - AWS Data Analytics Training

Accelerate your data career with Visualpathu2019s AWS Data Engineer online course. Our AWS Data Analytics Training focuses on practical skills to design and optimize scalable data pipelines on AWS. With expert mentors and real-time projects, learners gain job-ready expertise for global opportunities in cloud data engineering.<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><br>

naveen145
Download Presentation

AWS Data Engineer online course - AWS Data Analytics Training

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. AWS Data Engineering: Master Cloud Data Pipelines A Complete Guide to Building Modern Data Solutions +91-7032290546

  2. Introduction to AWS Data Engineering • What is Data Engineering? • Importance of cloud-based data solutions • Why AWS for data engineering? • Key use cases in modern industries +91-7032290546

  3. Core AWS Services for Data Engineering • Amazon S3 for data storage • AWS Glue for ETL processes • Amazon Redshift for data warehousing • Amazon Kinesis for real-time streaming +91-7032290546

  4. Designing Scalable Data Pipelines • Data ingestion strategies (batch vs real-time) • Structuring pipelines for scalability • Leveraging AWS managed services • Importance of automation in pipelines +91-7032290546

  5. Data Ingestion and Storage • Using Amazon S3 as a data lake • Streaming data with Kinesis Firehose • Integrating with external data sources • Ensuring durability and availability +91-7032290546

  6. Data Transformation with AWS Glue • Serverless ETL workflows • Schema detection and cataloging • Cleaning and transforming raw data • Integration with other AWS analytics tools +91-7032290546

  7. Data Warehousing and Analytics • Redshift for structured queries • Querying across S3 with Redshift Spectrum • Amazon Athena for serverless querying • BI integration with QuickSight +91-7032290546

  8. Security and Best Practices • IAM roles and permissions for data security • Encrypting data at rest and in transit • Monitoring pipelines with CloudWatch • Cost optimization strategies +91-7032290546

  9. Career Benefits and Conclusion • High demand for AWS data engineers • Opportunities in cloud-native industries • Certification and skill validation • Future trends in data engineering with AWS +91-7032290546

  10. Contact • Azure DevOps 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

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

More Related