1 / 10

AWS Data Engineering Training | AWS Data Engineering Course

Join VisualPathu2019s AWS Data Engineering Training in Hyderabad and master in-demand skills with expert-led sessions. Our AWS Data Engineering Course offers hands-on experience, real-world projects, and flexible schedules. Get access to recorded classes and industry-focused training. Call 91-9989971070 now to book your free demo.<br>WhatsApp: https://www.whatsapp.com/catalog/919989971070/<br>Visit Blog: https://visualpathblogs.com/category/aws-data-engineering-with-data-analytics/ <br>Visit: https://www.visualpath.in/online-aws-data-engineering-course.html <br>

kalyan28
Download Presentation

AWS Data Engineering Training | AWS Data Engineering Course

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. Key AWS Services for Data Engineering Subtitle: An Overview of AWS Data Engineering Tools & Technologies

  2. Introduction to AWS Data Engineering • AWS provides a comprehensive suite of services for data engineering. • Enables efficient data ingestion, processing, storage, and analysis. • Helps organizations build scalable and cost-effective data pipelines.

  3. AWS Data Ingestion Services • 1. AWS Kinesis – Real-time streaming data processing.2. AWS DataSync – Automates data transfers between on-premises and AWS.3. AWS Glue DataBrew – No-code tool for preparing and cleaning data.4. AWS Transfer Family – Securely transfers files using SFTP, FTPS, FTP.

  4. AWS Data Storage Services • 1. Amazon S3 – Scalable object storage for structured & unstructured data.2. Amazon RDS – Managed relational database service.3. Amazon Redshift – Cloud data warehouse for analytics.4. Amazon DynamoDB – Fully managed NoSQL database for high-speed applications.

  5. AWS Data Processing & Transformation Services • 1. AWS Glue – Serverless ETL for data preparation & transformation.2. AWS Lambda – Serverless function for event-driven data processing.3. Amazon EMR – Managed big data framework (Apache Spark, Hadoop).4. AWS Step Functions – Orchestrates workflows for data pipelines.

  6. AWS Analytics & Query Services • 1. Amazon Athena – Serverless SQL queries on S3 data.2. Amazon QuickSight – BI and visualization tool for data insights.3. AWS Lake Formation – Simplifies building secure data lakes.

  7. AWS Machine Learning & AI Integration • 1. Amazon SageMaker – Fully managed ML model development & training.2. AWS Comprehend – NLP service for text analytics.3. AWS Forecast – Time-series forecasting with ML.

  8. AWS Data Security & Governance • 1. AWS IAM – Access control & identity management.2. AWS KMS – Encryption for securing data at rest & transit.3. AWS CloudTrail – Logging & auditing of AWS service activities.

  9. Conclusion & Final Thoughts • AWS provides end-to-end data engineering services. • Selecting the right services depends on specific data requirements. • AWS enables scalable, cost-efficient, and secure data processing. • Future of data engineering: AI-driven automation & real-time analytics.

  10. Thank You www.visualpath.in

More Related