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AWS Data Analytics - AWS Data Engineering online training

Take your skills to the next level with Visualpathu2019s AWS Data Analytics Training. Learn from industry experts through live sessions and real-world projects. Enjoy flexible learning with on AWS Data Engineering online training with 24/7 access to recorded sessions. Join a global network of learners from the USA, UK, Canada, India, and Australia. Contact 91-7032290546 for more info!<br>Blog link: 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-engineering-course.html<br><br>

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AWS Data Analytics - AWS Data Engineering online training

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  1. Your First Step into AWS Data Engineering +91-7032290546

  2. What is AWS Data Engineering • It is the process of designing data workflows using AWS services • Focuses on moving, processing, and preparing data for analytics • Involves both batch and real-time data handling • Helps build scalable and cloud-native data pipelines +91-7032290546

  3. Why Choose AWS for Data Engineering • AWS offers ready-to-use services that reduce setup and maintenance • Integrates easily with big data, machine learning, and reporting tools • Scales automatically with data growth and usage needs • Global infrastructure provides speed, reliability, and security +91-7032290546

  4. Core AWS Services You Will Use • AWS Glue manages extract, transform, load tasks without servers • Amazon Redshift provides fast, SQL-based data warehousing • Amazon Kinesis supports real-time data streaming and ingestion +91-7032290546

  5. How AWS Data Workflows Function • Ingest data from files, logs, APIs, or third-party platforms • Clean and transform data using Glue, Lambda, or EMR • Analyzewith tools like Athena, QuickSight, or third-party BI +91-7032290546

  6. Building Your First AWS Data Project • Upload a sample dataset like sales or logs into Amazon S3 • Write a basic ETL job to format and enrich the data +91-7032290546

  7. Skills You Should Develop Early • Learn data formats like CSV, JSON, and Parquet • Understand SQL basics and how queries work on large datasets • Get familiar with the AWS Management Console and service setup +91-7032290546

  8. Common Mistakes and How to Avoid Them • Avoid hardcoding paths and use parameterized jobs for flexibility • Do not ignore security best practices; manage access through IAM • Monitor every step using CloudWatch to catch errors early • Keep your pipeline modular and easy to update or debug +91-7032290546

  9. Moving Ahead in Your AWS Journey • Take on more complex tasks like real-time dashboards or ML integration • Explore certifications like AWS Data Analytics or Solutions Architect • Contribute to projects or case studies to strengthen your portfolio • Keep learning through AWS blogs, events, and hands-on labs +91-7032290546

  10. Slide Title Contact AWS for Data Engineering 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 YOUVisit: www.visualpath.in +91-7032290546

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