Sold by: Cloud Wizard Consulting
1-day instructor-led course from Cloud Wizard Consulting that equips data engineers to build, optimize, and secure batch analytics pipelines using Amazon EMR, Spark, Hive, and AWS Glue.
Overview
Why Cloud Wizard Consulting?
Cloud Wizard Consulting is an AWS Advanced Training Partner and Select Tier Consulting Partner with a track record of training more than 5,000 professionals. Our authorized instructors hold all AWS certifications and maintain a 100% passing rate. When you train with us, you gain access to expert-led instruction backed by deep AWS expertise and proven delivery methodology.
Who This Course Is For
This intermediate, 1-day instructor-led course is designed for:
- Data platform engineers
- Architects and operators who build and manage data analytics pipelines
- Teams preparing for AWS Data Analytics or Data Engineer certifications
Prerequisites: AWS Technical Essentials or Architecting on AWS, plus either Building Data Lakes on AWS or Getting Started with AWS Glue.
What You Will Achieve
By the end of this course, you will be able to:
- Compare data warehouses, data lakes, and modern data architectures to select the right approach
- Design and implement a batch data analytics solution using Amazon EMR, Apache Spark, and Apache Hive
- Optimize data storage with compression and partitioning techniques
- Select appropriate instance types, cluster configurations, and auto scaling for your workload
- Secure data at rest and in transit within EMR environments
- Monitor analytics workloads and remediate performance issues
- Apply cost management best practices to reduce EMR spend
Real-World Scenario
Throughout the course, you will work through a scenario that mirrors production batch analytics workflows - ingesting large-scale data into Amazon S3, cataloging it with AWS Glue, processing it with Spark on EMR, and orchestrating pipelines with AWS Step Functions. This mirrors common patterns used in retail analytics, financial transaction processing, and IoT telemetry aggregation.
Hands-On Labs and Demos
- Interactive Demo 1: Launch an Amazon EMR cluster
- Interactive Demo 2: Connect to an EMR cluster and run Scala commands in the Spark shell
- Interactive Demo 3: Client-side encryption with EMRFS
- Practice Lab 1: Low-latency data analytics using Apache Spark on Amazon EMR
- Practice Lab 2: Batch data processing using Amazon EMR with Hive
- Practice Lab 3: Orchestrate data processing in Spark using AWS Step Functions
Course Outline
Module A: Overview of Data Analytics and the Data Pipeline
Module 1: Introduction to Amazon EMR - cluster architecture, cost management strategies
Module 2: Data Analytics Pipeline - storage optimization, data ingestion techniques
Module 3: High-Performance Batch Analytics with Apache Spark - transformation, processing, notebooks
Module 4: Processing Batch Data with Apache Hive and HBase on Amazon EMR
Module 5: Serverless Data Processing - AWS Glue integration, Step Functions orchestration
Module 6: Security and Monitoring - encryption, cluster monitoring, troubleshooting
Module 7: Designing Batch Data Analytics Solutions - architecture design activity
Module B: Developing Modern Data Architectures on AWS
Delivery Details
- Format: Virtual or on-site instructor-led training
- Duration: 1 day (approximately 7 hours)
- Lab Environments: Isolated AWS accounts provisioned per participant
Contact Cloud Wizard Consulting to discuss available dates, group enrollment options, and how this training fits your team's cloud goals.
Highlights
- Delivered by an AWS Advanced Training Partner with 5,000+ professionals trained and a 100% passing rate. Cloud Wizard Consulting's authorized instructors hold all AWS certifications, bringing real-world architecture experience to every session. You receive expert guidance tailored to your team's data engineering challenges, not generic lecture content.
- Three hands-on practice labs plus three interactive demos using isolated AWS lab environments. You will launch EMR clusters, run Spark transformations in Scala, process batch data with Hive, implement client-side encryption with EMRFS, and orchestrate pipelines with AWS Step Functions - building skills you can apply immediately on production workloads.
- Covers the complete batch analytics stack - Amazon EMR, Apache Spark, Apache Hive, HBase, AWS Glue, and AWS Step Functions - with dedicated modules on security, monitoring, and cost optimization. Participants leave with the architecture patterns and operational knowledge needed to design, secure, and manage cost-effective batch data pipelines on AWS.
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Support
Vendor support
Vendor Support
Cloud Wizard Consulting provides comprehensive support before, during, and after your instructor-led training. Our email response time is within 12 hours.
Pre-Training Support:
- Assistance with enrollment, scheduling, and group booking
- Guidance on prerequisites and participant readiness
- Coordination of delivery logistics and learning objectives
During Training:
- Live instructor support throughout the session from AWS-certified authorized instructors
- Technical assistance with hands-on lab environments
- Real-time Q&A and personalized guidance
Post-Training Support:
- Guidance on applying AWS architectural best practices to your projects
- Support with certification preparation and next steps
- Follow-up assistance for questions that arise after the course
How to Get Started:
Contact Cloud Wizard Consulting to discuss available dates, group enrollment options, and how this training fits your team's cloud goals.
- Email: info@cloudwizardconsulting.com
- Website: https://www.cloudwizardconsulting.com
- Booking Page: https://cloudwizardconsulting.com/aws-training/building-batch-data-analytics-solutions-on-aws/
Our team is available to help with any questions about course content, scheduling, enrollment, or post-training guidance.