Big Data in the AWS (Amazon Web Services) Cloud

Learn about building out scalable, resilient Big Data solutions using the AWS platform
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Big Data in the AWS (Amazon Web Services) Cloud
1β€―050
students
2 hours
content
Apr 2018
last update
$15.99
regular price

Why take this course?

🌟 Big Data in the AWS Cloud - Master Building Scalable Solutions 🌟

Course Overview: Dive into the realm of Big Data with our comprehensive course designed for cloud enthusiasts and professionals. Amazon Web Services (AWS) presents a vast ecosystem of services that can be leveraged to build scalable, resilient, and highly-available Big Data solutions. This course is your gateway to mastering these technologies and understanding their integration to tackle complex data challenges.

Why Take This Course?

  • Comprehensive Coverage: Explore the full spectrum of AWS services essential for Big Data projects.
  • Real-World Application: Learn through practical case studies from industry leaders like Pinterest, Netflix, Shell, and Yelp.
  • Expert Insights: Gain insights from experienced AWS Data Consultants who will guide you through each concept.
  • Versatile Skillset: Equip yourself with the skills to handle various Big Data scenarios, including Storage & Databases, Analytics, AI/ML, and more.

Course Curriculum Highlights:

  1. πŸ’Ό AWS Big Data Services Overview:

    • Storage and Databases: Dive into AWS's storage solutions, from S3 to Redshift.
    • Big Data Analytic Frameworks: Master the use of Hadoop on AWS with EMR.
    • Data Warehousing: Learn how to use Amazon Redshift for your data warehousing needs.
    • Real-Time Analytics: Explore Amazon Kinesis and its role in real-time data processing.
    • Artificial Intelligence/Machine Learning: Discover AWS machine learning services like SageMaker.
    • Business Intelligence: Understand how to visualize and gain insights from large datasets with AWS BI tools.
    • Big Data Compute Instances: Choose the right instances for your compute-intensive tasks.
    • Data Movement: Learn best practices for data ingestion, migration, and transfer within AWS.
    • Serverless Architectures: Build cost-effective and scalable serverless solutions using AWS Lambda.
  2. πŸ“ˆ In-Depth Case Studies:

    • Uncover the strategies employed by Pinterest to manage their petabytes of data on AWS.
    • Dissect Netflix's approach to providing personalized recommendations at scale.
    • Explore Shell's transition to a cloud-native, Big Data analytics platform with AWS.
    • Analyze Yelp's use of AWS for handling real-time user generated content.
    • Delve into C-SPAN's implementation of a robust data solution to enhance public access to governmental affairs.

Who Should Attend?

  • Data Analysts and Scientists
  • Big Data Architects & Engineers
  • Cloud Solutions Architects
  • IT Professionals looking to leverage AWS for Big Data projects
  • Anyone interested in building scalable, resilient Big Data solutions in the cloud with AWS!

πŸ“… Key Takeaways:

  • A comprehensive understanding of AWS Big Data services and how they interplay.
  • The knowledge to design, deploy, and manage robust Big Data solutions on AWS.
  • Real-world insights from leading companies that have successfully implemented AWS for their Big Data needs.
  • A competitive edge in the market by mastering cutting-edge Big Data technologies and cloud computing principles.

Embark on your journey to becoming an expert in leveraging the power of AWS for Big Data today! πŸš€

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1650734
udemy ID
17/04/2018
course created date
12/07/2019
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