Course Summary

AWS Data Analytics Specialty is intended help you earn an industry-recognized credential from AWS that validates your expertise in AWS data lakes and analytics services. Build credibility and confidence by highlighting your ability to design, build, secure, and maintain analytics solutions on AWS that are efficient, cost-effective, and secure. Show you have breadth and depth in delivering insight from data.

Skills Gained

This course teaches you how to:

  • Help you validate your ability to design, build, secure, and maintain analytics solutions on AWS that are efficient, cost-effective, and secure
  • Learn how to work with Amazon Elastic MapReduce (EMR), Amazon Redshift, Amazon Kinesis and the rest of the AWS big data platform
  • Learn how to create big data environments, work with Amazon DynamoDB, Amazon Redshift, and Amazon Kinesis, and leverage best practices to design big data environments
  • Define AWS data analytics services and understand how they integrate with each other
  • Explain how AWS data analytics services fit in the data life cycle of collection, storage, processing, and visualization
  • Evaluate use cases for data warehousing workloads and review real-world implementation of AWS data and analytic services as part of a data warehousing solution
  • Launch an Amazon Redshift cluster and use the components, features, and functionality to implement a data warehouse in the cloud
  • Use other AWS data and analytic services, such as Amazon DynamoDB, Amazon EMR, Amazon Kinesis Firehose, and Amazon S3, to contribute to the data warehousing solution
  • Evaluate approaches and methodologies for designing data warehouses
  • Identify data sources and assess requirements that affect the data warehouse design
  • Choose an appropriate Amazon Redshift node type and size for your data needs

Pre-Requisite

  • At least one or two years IT experience
  • At least one AWS Associate level certification
  • At least one certification (any vendor)

Schedule

Saturdays - Starting June 6th

(This session is for Employees and Partners ONLY)

Get Started!

$309 $2,200 85% off

Instructor:


Mussie Berhane

Professional Experience: Highly technical, detailed oriented and experienced Senior Solution Architect/Designer and Engineer with over 20 years of experience; proficient in designing, deploying, managing and troubleshooting IP based enterprise and cloud solutions: Unified Communications / VoIP, Cyber Security, Cloud, Data Center, Virtualization, Storage, IP Routing and IP Switching, SD-WAN, Data Analytics, Database and Big Data. Currently, Mussie is working as Senior Cloud Security/ Engineer Consultant.

Research & Development: Mussie is actively working to provide tangible solutions to today's complex challenges to the underserved, with focus in Energy, Technology and Knowledge Transfer.


Training/Teaching: Mr. Berhane is passionate about knowledge transfer, teaching and mentoring. Over the past 15 years, Mussie has taught more than 3,000 students in different IT sectors, always adapting and focusing on emerging technologies to meet current and future job market demands.


Education and Certifications:

BS: Computer Information Systems

AWS:

Advance Networking Specialty, Security Specialty, Database Specialty, Big Data Specialty, and all Associate certifications.

Mr. Berhane, also holds other vendor certifications from Cisco, Microsoft, CheckPoint, Silver Peak and others.

Hobbies and Interests: Reading, Traveling, Basketball, Mentoring and Transferring Knowledge and Skills.

Course Curriculum

  Welcome
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  Module 1: Overview of Big Data
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  Module 2: Big Data Ingestion and Transfer
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  Module 3: Real-Time Data Ingestion
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  Module 4: Compute - Bid Data Storage Solutions
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  Module 5: Big Data Processing and Analytics
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  Module 6: Apache Hadoop and Amazon EMR
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  Module 7: Using Amazon EMR
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  Module 8: Hadoop Programming Frameworks
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  Module 12: Introduction to Data Warehouse
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  Module 13: Redshift Clusters
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  Module 14: Designing the Database Schema
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  Module 15: Identifying Data Sources
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  Module 16: Loading Data
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  Module 17: Writing Queries and Tuning for Performance
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  Module 18: Amazon Redshift Spectrum
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  Module 19: Maintaining Cluster
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  Module 20: Analyzing and Visualizing Data
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  Module 21: Web Interfaces on Amazon EMR
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  Module 22: Apache Spark on Amazon EMR
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  Module 23: Using AWS Glue to Automate ETL
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  Module 24: Security
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  Module 25: Managing Big Data Costs
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  Module 26: Visualizing and Orchestrating Big Data
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  Module 27: Big Data Design Patterns
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  EMR
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  Big Data - Exam Collection From Internet
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