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Overview of Course

This course is designed to teach you how to build real-time streaming data analytics solutions on Amazon Web Services (AWS). You will learn how to use AWS services such as Kinesis, Lambda, and Elasticsearch to build scalable, and efficient data pipelines. This course is ideal for data engineers, architects, and developers who want to learn how to build streaming data analytics solutions on AWS.

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Course Highlights

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Learn to design,develop & deploy scalable data pipelines 

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Hands-on experience in processing & transforming real-time streaming data

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Access to online resources, including recordings of live sessions




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Skills You’ll Learn

#1

Designing and implementing scalable and fault-tolerant data pipelines on AWS

#2

Processing and transforming real-time streaming data using AWS services

#3

Analyzing real-time streaming data using AWS analytics services

#4

Building streaming data analytics solutions using AWS services such as Kinesis, Lambda, and Elasticsearch

Training Options

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1-on-1 Training

USD 350 / INR 30000
  • Option Item Access to live online classes
  • Option Item Flexible schedule including weekends
  • Option Item Hands-on exercises with virtual labs
  • Option Item Session recordings and learning courseware included
  • Option Item 24X7 learner support and assistance
  • Option Item Book a free demo before you commit!
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Corporate Training

On Request
  • Option Item Everything in 1-on-1 Training plus
  • Option Item Custom Curriculum
  • Option Item Extended access to virtual labs
  • Option Item Detailed reporting of every candidate
  • Option Item Projects and assessments
  • Option Item Consulting Support
  • Option Item Training aligned to business outcomes
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Course Reviews

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Skillzcafe's training program has been an exceptional learning experience for me. The course content was comprehensive and taught by industry experts, enabling me to acquire practical skills that are highly relevant. I strongly recommend Skillzcafe to anyone looking to upskill or kickstart their career.
Marshall Kumar
Director - Customer Experience at Wipro
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The training was a game-changer for me! The course material was comprehensive, the instructors were knowledgeable and supportive, and the hands-on approach helped me gain practical experience. I am confident and ready to tackle any challenge. Thank you, Skillzcafe!
Savilisa Vaz
Talent Fulfillment Specialist at Accenture
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I was thoroughly impressed with Skillzcafe's training program. The curriculum was comprehensive and up-to-date, and the instructors were knowledgeable and helpful. The hands-on approach helped me develop practical skills to apply in my future career. Overall, a fantastic learning experience!
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Sr. Consultant at Infosys
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I had a great experience with Skillzcafe's training program. The online platform was user-friendly, and the instructors were knowledgeable and professional. I gained valuable skills that helped me in my current job. Highly recommend Skillzcafe to anyone looking for quality training.
Erica Montaque
Director of Learning and Development at Walmart
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It was an excellent investment in my career. The course materials were comprehensive, and the trainers were knowledgeable and approachable. The interactive online platform made it easy to learn from anywhere. I highly recommend Skillzcafe to anyone looking to upskill in their career.
Saujanya Khatri
Business Analyst at Amazon
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Lead Financial Analyst at AT&T
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The platform was easy to use, and the trainers were knowledgeable and supportive. I learned practical skills that have helped me in my job, and the flexibility of the online training allowed me to balance work and studies.
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Information Technology Specialist at Saudi Aramco PMT
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The flexibility of online learning and the expertise of the instructors made for a great experience. The course content was engaging and applicable, and I gained valuable skills.
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Curriculum

  • Data analytics use cases
  • Using the data pipeline for analytics

  • The importance of streaming data analytics
  • The streaming data analytics pipeline
  • Streaming concepts

 

  • Streaming data services in AWS
  • Amazon Kinesis in analytics solutions
  • Demonstration: Explore Amazon Kinesis Data Streams
  • Practice Lab: Setting up a streaming delivery pipeline with Amazon Kinesis
  • Using Amazon Kinesis Data Analytics
  • Introduction to Amazon MSK
  • Overview of Spark Streaming

 

  • Exploring Amazon Kinesis using a clickstream workload
  • Creating Kinesis data and delivery streams
  • Demonstration: Understanding producers and consumers
  • Building stream producers
  • Building stream consumers
  • Building and deploying Flink applications in Kinesis Data Analytics
  • Demonstration: Explore Zeppelin notebooks for Kinesis Data Analytics
  • Practice Lab: Streaming analytics with Amazon Kinesis Data Analytics and Apache Flink

  • Optimize Amazon Kinesis to gain actionable business insights
  • Security and monitoring best practices

  • Use cases for Amazon MSK
  • Creating MSK clusters
  • Demonstration: Provisioning an MSK Cluster
  • Ingesting data into Amazon MSK
  • Practice Lab: Introduction to access control with Amazon MSK
  • Transforming and processing in Amazon MSK

  • Optimizing Amazon MSK
  • Demonstration: Scaling up Amazon MSK storage
  • Practice Lab: Amazon MSK streaming pipeline and application deployment
  • Security and monitoring
  • Demonstration: Monitoring an MSK cluster

  • Use case review
  • Class Exercise: Designing a streaming data analytics workflow

  • Modern data architectures                      

 

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Description

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Target Audience:

  • Data engineers, architects, and developers
  • IT professionals interested in building streaming data analytics solutions on AWS
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Prerequisite:

  • Basic understanding of AWS services
  • Knowledge of programming languages such as Python, Java, or Node.js

 

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Benefits of the course:

  • Hands-on experience in building streaming data analytics solutions on AWS
  • Instructor-led training with industry experts
  • Access to online resources, including recordings of live sessions and course materials
  • Certification of completion
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Exam details to pass the course:

  • There is no exam for this course.
  • You will receive a certificate of completion upon finishing the course.

 

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Certification path:

  • There is no specific certification path for this course.
  • However, upon completing this course, you will have gained valuable skills and knowledge that will prepare you for AWS certification exams such as AWS Certified Big Data - Specialty.
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Career options after doing the course:

  • Data Engineer
  • Data Architect
  • Big Data Developer
  • AWS Solution Architect

 

Why should you take this course from Skillzcafe:

Skillzcafe
Why should you take this course from Skillzcafe:
  • Bullet Icon Skillzcafe provides hands-on training with industry experts
  • Bullet Icon Access to online resources, including recordings of live sessions and course materials
  • Bullet Icon Certification of completion
  • Bullet Icon Flexibility to learn at your own pace

FAQs

The prerequisites for this course include a basic understanding of AWS services and knowledge of programming languages such as Python, Java, or Node.js.

While some experience with AWS and programming is recommended, this course is designed for data engineers, architects, and developers who want to learn how to build streaming data analytics solutions on AWS.

Yes, you will receive a certificate of completion upon finishing the course.

This course can prepare you for careers such as Data Engineer, Data Architect, Big Data Developer, and AWS Solution Architect.

The duration of this course is 1 day.

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