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  • Online Virtual Class
  • Duration: 8 days
  • Fees: ₹50,000.00/-
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About your Training

Skills Covered

Data collection and ingestion techniques
Big Data storage and management
Data processing and transformation
Data analysis and machine learning
Data visualization and reporting
Security and compliance in data analytics

Tools Covered

Amazon Kinesis and AWS IoT Core
Amazon S3, RDS, DynamoDB, and Redshift
AWS Glue, Lambda, and EMR
Amazon Athena and SageMaker
Amazon QuickSight and AWS Data Pipeline

Training Syllabus

Curriculum Designed by Experts

Introduction to AWS Data Analytics
Topics
  • Overview of Data Analytics on AWS
  • AWS Data Analytics Services
  • AWS Global Infrastructure
Topics
  • Amazon Kinesis Data Streams and Firehose
  • AWS Data Migration Services
  • AWS IoT Core for Data Ingestion
Topics
  • Data Lakes with Amazon S3
  • Amazon RDS and DynamoDB
  • Amazon Redshift and Redshift Spectrum
  • AWS Glue Data Catalog
Topics
  • AWS Glue for ETL
  • Amazon EMR for Big Data Processing
  • AWS Lambda for Serverless Processing
  • Data Wrangling with AWS Glue DataBrew
Topics
  • Amazon Athena for Interactive Querying
  • Amazon Redshift for Data Warehousing
  • Amazon SageMaker for Machine Learning
  • AWS Data Pipeline for Orchestration
Topics
  • Amazon QuickSight for Visualization
  • Integrating BI Tools with AWS
  • Building Dashboards and Reports
Topics
  • AWS Identity and Access Management (IAM)
  • Data Encryption and Key Management
  • AWS Lake Formation for Data Governance
  • Compliance and Security Best Practices
Topics
  • Monitoring Data Workflows with Amazon CloudWatch
  • Performance Tuning and Optimization
  • Cost Management and Budgeting

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Why Training From Are U Certified

Live Interactive Classes

  • Top-Tier Trainers
  • Real Time Guidance by Industrial Experts
  • In Class Doubt Clearance

Resource Access

  • Life Time Access to Resource Library

Support

  • One-to-One Lab and Training Assistance
  • Help Desk Support
  • Doubt Clearance in Real-time

Project Based Learning

  • Labs and Learning Based from Industrial Experts
  • Learning Based on Project Scenarios

Certification

  • Are U Certified Training Certificate
  • Certificate of Completion

Labs

  • Cloud based Labs *Labs based on course requirement only

Training Details

The AWS Certified Data Analytics – Specialty course provides advanced training on using AWS services for data collection, storage, processing, analysis, and visualization. The course covers the entire data analytics workflow, emphasizing scalable, secure, and cost-effective solutions.

  • Gain expertise in AWS data analytics services and solutions.
  • Enhance career opportunities and earning potential.
  • Prepare for the AWS Certified Data Analytics – Specialty certification exam.
  • Stay updated with the latest AWS data analytics technologies and best practices.
  • Expert-led instruction and mentoring.
  • Hands-on labs and real-world scenarios.
  • Access to AWS data analytics resources and services.
  • Comprehensive study materials and practice exams.
  • Networking opportunities with peers and professionals.
  • Data collection and ingestion techniques
  • Big Data storage and management
  • Data processing and transformation
  • Data analysis and machine learning
  • Data visualization and reporting
  • Security and compliance in data analytics
  • Amazon Kinesis and AWS IoT Core
  • Amazon S3, RDS, DynamoDB, and Redshift
  • AWS Glue, Lambda, and EMR
  • Amazon Athena and SageMaker
  • Amazon QuickSight and AWS Data Pipeline
  • Understand and apply data analytics concepts on AWS.
  • Design and implement scalable and secure data solutions.
  • Perform data processing and analysis using AWS services.
  • Visualize and report data insights effectively.
  • Ensure compliance and security in data analytics workflows.
  • Data Analysts
  • Data Engineers
  • Data Scientists
  • Big Data Architects
  • IT professionals focusing on data analytics
  • At least five years of experience with data analytics technologies.
  • Understanding of AWS core services and data analytics technologies.
  • Advanced data analytics concepts and techniques on AWS.
  • Data collection and ingestion methods.
  • Scalable and secure Big Data storage solutions.
  • Data processing, analysis, and visualization.
  • Implementing security and compliance in data analytics workflows.
  • A computer with at least 8 GB of RAM.
  • Internet connection for accessing course materials and labs.
  • An AWS account for hands-on practice.
  • Data Analyst
  • Data Engineer
  • Data Scientist
  • Big Data Architect
  • IT Professional (Data Focus)

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