The document discusses trends in AWS cloud, big data, Hadoop, and Kubernetes. It covers topics like data lakes, modern principles for infrastructure like event-driven architectures and serverless computing. It also discusses how these principles can be applied to Hadoop on-premises systems as well as in the cloud using AWS services. Kubernetes is mentioned as a platform for running big data workloads. Contact information is provided at the end.

1. Aws cloud/Big data Trends
Marton Hubay
Co-Founder and CTO @ Infinite Lambda

2. Today Talk
● (Big) Data (Lake)
● Modern Principles
● Hadoop
● Cloud - AWS
● Kubernetes

3. (BIg) DaTa (Lake)
Csv
Log
Xml
Json
Txt
Email
Picture
Video
...
Report
Dashboard
Machine Learning
Relational Database
NoSql Database
Datawarehouse
...

4. Modern Principles
Event-driven
Self-service
Serverless
Infrastructure as Code
CI/CD
Compute Storage Separation
Vendor Independence

5. Hadoop (1)

6. Hadoop (2) - Big data landscape

7. Hadoop (3)

8. Modern Principles - hadoop (on-prem)
Event-driven
Self-service
Serverless
Infrastructure as Code
CI/CD
Compute Storage Separation
Vendor Independence

9. Cloud era

10. aWS Cloud services

11. AWs Event-Driven Data Lake example

12. Modern Principles - Cloud
Event-driven
Self-service
Serverless
Infrastructure as Code
CI/CD
Compute Storage Separation
Vendor Independence

13. Big Data On Kubernetes
https://thenewstack.io/will-kubernetes-sink-the-hadoop-ship/

14. Modern Principles - Kubernetes PLatform
Event-driven
Self-service
Serverless
Infrastructure as Code
CI/CD
Compute Storage Separation
Vendor Independence

15. Miskolc
contact@infinitelambda.com
marton.hubay@infinitelambda.com