Big Data in the AWS (Amazon Web Services) Cloud

Why take this course?
π Big Data in the AWS Cloud - Master Building Scalable Solutions π
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:
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πΌ 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.
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π 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!
π 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! π
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