What are the core services offered by AWS?

  I HUB Talent – The Best AWS Data Engineer Training in Hyderabad

I HUB Talent is the leading institute for AWS Data Engineer Training in Hyderabad, offering industry-focused training designed to help aspiring professionals master cloud-based data engineering. Our comprehensive course covers all key aspects of AWS data services, including Amazon S3, Redshift, Glue, Kinesis, Athena, and DynamoDB, ensuring you gain hands-on expertise in managing, processing, and analyzing large-scale data on the AWS cloud.

Why Choose I HUB Talent for AWS Data Engineer Training?

  1. Expert Trainers: Learn from industry professionals with real-world experience in AWS data engineering.

  2. Comprehensive Curriculum: The course includes AWS Lambda, EMR, Data Pipeline, and Apache Spark to provide in-depth knowledge.

  3. Hands-on Projects: Work on live projects and case studies to gain practical exposure.

  4. Certification Assistance: Get guidance for AWS Certified Data Analytics – Specialty and AWS Certified Solutions Architect certifications.

  5. Flexible Learning Options: Choose from classroom training, online sessions, and self-paced learning.

  6. Placement Support: Our dedicated placement team helps you secure job opportunities in top MNCs.

AWS (Amazon Web Services) supports DevOps and Continuous Integration/Continuous Deployment (CI/CD) through a wide range of tools and services designed to automate software development, testing, and deployment.

AWS (Amazon Web Services) offers a broad set of cloud services that cover computing, storage, databases, networking, AI, and much more. Here are the core services most widely used:

1. Compute Services

  • Amazon EC2 (Elastic Compute Cloud): Virtual servers in the cloud.

  • AWS Lambda: Serverless computing (run code without managing servers).

  • Amazon ECS / EKS: Container management for Docker & Kubernetes.

  • AWS Elastic Beanstalk: Easy deployment for web apps.

2. Storage Services

  • Amazon S3 (Simple Storage Service): Object storage for files, backups, and media.

  • Amazon EBS (Elastic Block Store): Block storage for EC2 instances.

  • Amazon EFS (Elastic File System): Scalable shared file storage.

  • AWS Glacier / S3 Glacier: Low-cost archival storage.

3. Database Services

  • Amazon RDS (Relational Database Service): Managed SQL databases (MySQL, PostgreSQL, Oracle, etc.).

  • Amazon DynamoDB: NoSQL key-value store.

  • Amazon Aurora: High-performance relational DB compatible with MySQL & PostgreSQL.

  • Amazon Redshift: Data warehousing & analytics.

4. Networking & Content Delivery

  • Amazon VPC (Virtual Private Cloud): Isolated networks in the cloud.

  • Amazon Route 53: DNS and domain management.

  • Amazon CloudFront: Content Delivery Network (CDN).

  • AWS API Gateway: Manage and expose APIs securely.

5. Security, Identity, & Compliance

  • AWS IAM (Identity and Access Management): User access & permissions.

  • AWS KMS (Key Management Service): Encryption key management.

  • AWS Shield / WAF: Protection against DDoS & web attacks.

6. DevOps & Developer Tools

  • AWS CodePipeline / CodeBuild / CodeDeploy: CI/CD automation.

  • AWS CloudFormation: Infrastructure as Code (IaC).

  • AWS CloudWatch: Monitoring & logging.

7. AI & Machine Learning

  • Amazon SageMaker: Build, train, and deploy ML models.

  • AWS Rekognition: Image & video analysis.

  • Amazon Polly: Text-to-speech.

  • Amazon Lex: Chatbot & conversational AI (used in Alexa).

8. Analytics & Big Data

  • Amazon Kinesis: Real-time data streaming.

  • Amazon EMR: Big data processing (Hadoop, Spark).

  • Amazon QuickSight: Business intelligence dashboards.

9. Migration & Hybrid Cloud

  • AWS Migration Hub: Track migrations.

  • AWS Snowball: Physical data transfer devices.

  • AWS Outposts: Bring AWS services to on-premises.

✅ In short:

  • Compute (EC2, Lambda)

  • Storage (S3, EBS, Glacier)

  • Databases (RDS, DynamoDB, Aurora)

  • Networking (VPC, CloudFront)

  • Security (IAM, KMS)

  • DevOps (CodePipeline, CloudWatch)

  • AI/ML & Analytics (SageMaker, Redshift, QuickSight)

Do you want me to also create a visual mind map of AWS core services so you can remember them easily?

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