AWS Data Engineering Online Training Institute in Hyderabad, Ameerpet 2024

AWS Data Engineering with Data Analytics Course Full Overview? [2024] AnAWS Data Engineering with Data Analytics course would typically cover a comprehensive set of topics to equip learners with the skills and knowledge to manage and analyze data using AWS services effectively. AWS Data Engineering Training Here's a detailed overview of what such a course might include: 1.Introduction to AWS Data Services: Overview of AWS cloud computing fundamentals. Introduction to AWS data services ecosystem. Understanding the benefits of using AWS for data engineering and analytics. AWS Data Engineering Course 2.AWS Data Storage Services: Amazon S3 (Simple Storage Service): Deep dive into scalable object storage, versioning, encryption, and best practices for data storage. Amazon RDS (Relational Database Service): Managing relational databases on AWS, including MySQL, PostgreSQL, SQL Server, Oracle, and Amazon Aurora.

Amazon DynamoDB: NoSQL database service for scalable and high- performance applications. Amazon Redshift: Data warehousing service for analytics workloads. 3.Data Ingestion and Streaming: AWS Glue: Understanding and implementing ETL (Extract, Transform, Load) processes with Glue. Amazon Kinesis: Real-time data streaming and analytics with Kinesis Data Streams, Kinesis Data Firehose, and Kinesis Data Analytics. AWS Data Pipeline: Automating data movement and transformation workflows. AWS Data Engineering Online Training 4.Data Transformation and Processing: Introduction to serverless computing with AWS Lambda. Using AWS Glue for data transformation and schema discovery. Apache Spark on AWS: Deploying and managing Spark clusters for large- scale data processing. 5.Data Analysis and Visualization: Amazon Athena: Querying data directly from S3 using standard SQL. Amazon QuickSight: Building interactive dashboards and visualizations. Integrating with third-party BI tools like Tableau or Power BI. 6.Machine Learning and Advanced Analytics: Amazon SageMaker: Building, training, and deploying machine learning models. AWS AI/ML services: Amazon Comprehend, Amazon Forecast, Amazon Personalize, etc. Advanced analytics with services like Amazon EMR (Elastic MapReduce) and Amazon Elasticsearch Service. AWS Data Engineer Training 7.Data Security and Compliance: Implementing data encryption and access control mechanisms. Compliance considerations for handling sensitive data.

Monitoring and auditing data access and usage. 8.Cost Optimization: Understanding AWS pricing models for data services. Best practices for cost optimization in data storage, processing, and analytics workloads. Utilizing AWS Cost Explorer and other cost management tools. 9.Real-world Use Cases and Case Studies: Industry-specific examples of data engineering and analytics solutions on AWS. Hands-on projects or labs to apply concepts learned throughout the course. Guidance on designing and architecting data solutions for specific business needs. The best content for such a course would provide a mix of theoretical explanations, hands-on labs or projects, real-world examples, and best practices from experienced instructors. Look for courses offered by reputable training providers, online learning platforms, or directly from AWS, and consider reviews and testimonials from past learners to gauge the quality and effectiveness of the content. AWS Data Engineering Training in Hyderabad Visualpath is the Best Software Online Training Institute in Hyderabad. Avail complete Informatica Cloud worldwide. You will get the best course at an affordable cost. Attend Free Demo Call on - +91-9989971070. WhatsApp: https://www.whatsapp.com/catalog/919989971070 Visit https://www.visualpath.in/aws-data-engineering-with-data-analytics- training.html