Slides from my talk at Python Frederick in July 2017 on Pyspark, Big data and Elastic MapReduce. The slides are fairly short and were only there to give a quick overview. The meat of the presentation is in the Github repo link on the last slide.

1. PySpark with EMR
Patrick Pierson, DevOps Engineer
Ion Channel

2. What is Data?

3. What is Data?

4. Big Data is when you apply large distributed
computing platforms to a massive dataset.

5. EMR
Amazon Elastic MapReduce (EMR)
is an Amazon Web Services (AWS)
tool for big data processing and
analysis. Amazon EMR offers the
expandable low-configuration
service as an easier alternative to
running in-house cluster computing.

6. Apache Spark
Apache® Spark™ is a powerful open
source processing engine built
around speed, ease of use, and
sophisticated analytics.

7. DEMO
https://github.com/python-frederick/pyspark