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On-Demand Resources

Session 1 - 40 min

Turn Data into Insights (Level 100)

To optimize your bottom line, increase your top line, and improve customer experiences, you need to unleash the full potential of your data. Learn how building a modern data platform on AWS enables you to extract insights from varying datasets in a way that was not previously possible. You can move at your own pace, be agile, and remain cost efficient while taking advantage of managed services.

Session 2 - 45 min

AWS Analytics Portfolio (Level 200):

AWS provides the most comprehensive portfolio of mature and integrated analytics services ranging from cloud data warehouses to serverless data lakes. Learn how AWS helps you quickly get from data to answers and see real world examples of what it means to harness the power of your data.

Session 3 - 50 min

AWS ML Portfolio (Level 200):

Learn more about the latest machine learning services from AWS and deep dive into Amazon SageMaker. 
250+ SageMaker examples on Github.

  • This includes training modules, deploying them, turning them, bringing TensorFlow, PyTorch, MXNet, R, Sci-kit Learn, Spark, etc.
  • Remember these are pre-installed on every notebook instance. 
Session 4 - 70 min

Amazon Redshift Overview & Architecture (Level 200-300):

In this session, we will discuss in-depth Redshift concepts and the architecture which makes it a highly scalable and easy to use data warehousing service - ideal for high performance analytic workloads.

Session 5 - 10 min

Lab: Data Warehouse Modernization & Migration to Redshift (Level 300 Hands-On Lab):

On-premises data warehouses are complex and expensive to manage, especially with respect to data load and performance. Migrating your on-premises data warehouse to Amazon Redshift can substantially improve query and data load performance, increase scalability, and save costs. This workshop leverages AWS Database Migration Service (AWS DMS) and AWS Schema Conversion Tool (AWS SCT) to migrate an existing on-premises data warehouse to Amazon Redshift.

Session 6 - 35 min

Amazon EMR Deep Dive (Level 200):

Deep dive into EMR, a cloud-native big data platform for processing vast amounts of data quickly and cost-effectively at scale.

Session 7 - 40 min

Amazon EMR Recent Launches & Roadmap (Level 200):

This session will provide an overview of recently announced Amazon EMR features, as well as upcoming releases.

Session 8 - 50 min

Demo: Apache Hudi on Amazon EMR (Level 300):

Join us for a practical, hands-on workshop that will walk you through using Apache Hudi to perform inserts, upserts, and deletes on data in an Amazon S3 based data lake.

Session 9 - 50 min

Modernize Your Log Analytics with Amazon Elasticsearch Service (Level 200):

Collecting and storing vast amounts of unstructured log data from across the enterprise is difficult and expensive. In this session we'll discuss common use cases and benefits for using Amazon Elasticsearch Service to collect, store, and search through log data for application, infrastructure, and security monitoring and analysis.

Session 10 - 50 min

Lab: Build Your Frontend & Monitor it Too with Amazon Elasticsearch (Level 300-400):


Session 11 - 10 min

Lab: Data Warehouse Modernization & Migration to Redshift (Level 300 Hands-On Lab):

On-premises data warehouses are complex and expensive to manage, especially with respect to data load and performance. Migrating your on-premises data warehouse to Amazon Redshift can substantially improve query and data load performance, increase scalability, and save costs. This workshop leverages AWS Database Migration Service (AWS DMS) and AWS Schema Conversion Tool (AWS SCT) to migrate an existing on-premises data warehouse to Amazon Redshift.

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FAQs

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