AWS Essentials + Big Data Training by Laliwala IT is designed for professionals who want to master Amazon Web Services cloud computing and big data analytics. Based in Ahmedabad, Gujarat, India, we deliver live, interactive, project-based training covering AWS core services, data processing frameworks, analytics, and visualization tools.

Our online AWS + Big Data course features real-time instructor-led classes, cloud lab access, hands-on projects, flexible schedules, and career guidance. Whether you're a beginner or an experienced IT professional, this training will prepare you for AWS Certification and high-paying cloud/data engineering roles.

Course Modules — Comprehensive AWS + Big Data Training (5-6 Weeks | 50+ Hours)

📌 Module 1: AWS Essentials & Cloud Foundations

• Introduction to Cloud Computing & AWS Global Infrastructure
• Identity & Access Management (IAM) — Users, Groups, Roles, Policies
• Amazon EC2 — Launching, Configuring, Security Groups, Elastic IP
• Amazon S3 — Buckets, Versioning, Lifecycle Policies, Static Website Hosting
• Amazon EBS & Instance Store Volumes — Snapshots & Backups
• Elastic Load Balancing (ELB) & Auto Scaling
• Amazon Route 53 — DNS Management & Routing Policies
• CloudWatch & CloudTrail — Monitoring & Auditing

📌 Module 2: Big Data Ecosystem & Hadoop Framework

• Big Data Introduction — 5 V's, Challenges, & Solutions
• HDFS Architecture — NameNode, DataNode, Secondary NameNode
• MapReduce Framework — Mapper, Reducer, Combiner, Partitioner
• Apache Hive — Data Warehousing, HQL, Partitioning, Bucketing
• Apache Pig — Data Flow Language, Pig Latin Scripts
• Apache HBase — NoSQL Database, Column Family, Real-time Access
• Apache Sqoop — Data Import/Export between RDBMS & Hadoop
• Apache Flume — Log Aggregation & Streaming Data Ingestion

📌 Module 3: AWS Big Data Services

📌 Module 4: Apache Spark & Advanced Analytics

• Introduction to Apache Spark — RDD, DataFrame, Dataset
• Spark Core — Transformations & Actions, Lazy Evaluation
• Spark SQL — Structured Data Processing, Hive Integration
• Spark Streaming — Real-time Data Processing (DStreams, Structured Streaming)
• Spark MLlib — Machine Learning Algorithms on Spark
• Spark on AWS EMR — Running Spark Jobs at Scale
• Performance Tuning — Partitioning, Caching, Broadcast Variables

📌 Module 5: Data Visualization & Business Intelligence

• Introduction to Data Visualization Principles
• Amazon QuickSight — Dashboard Creation, SPICE Engine, ML Insights
• Tableau Integration with AWS Redshift & Athena
• Power BI Connectivity with AWS Data Sources
• Creating Interactive Dashboards & Reports
• Sharing & Publishing Visualizations

📌 Module 6: AWS Security, Cost Management & Best Practices

• Shared Responsibility Model — AWS Security Best Practices
• Encryption at Rest & In Transit (KMS, SSE, SSL/TLS)
• VPC Configuration — Subnets, NAT, Security Groups, NACLs
• AWS WAF, Shield, GuardDuty — Threat Protection
• Cost Management — AWS Pricing Calculator, Budgets, Cost Explorer
• Trusted Advisor & Well-Architected Framework

📌 Module 7: Real-World Capstone Projects

✅ What's Included in AWS + Big Data Training?

🎯 Why Choose Laliwala IT for AWS + Big Data Training?

🛠️ Tools & Technologies Covered

👥 Who Should Join?