Presented By O'Reilly and Cloudera
Make Data Work
Feb 17–20, 2015 • San Jose, CA

Owning Time Series With Team Apache: Cassandra, Spark, Spark Streaming, and Kafka

Patrick McFadin (Datastax)
9:00am–12:30pm Wednesday, 02/18/2015
Hadoop & Beyond
Location: 210 B/F
Average rating: ***..
(3.62, 8 ratings)

Description

Break out your laptops for this hands-on tutorial is geared around understanding the basics of how Apache Cassandra stores and access time series data. We’ll start with an overview of how Cassandra works and how that can be a perfect fit for time series. Then we will add in Apache Spark as a perfect analytics companion. There will be coding as a part of the hands on tutorial. The goal will be to take a example application and code through the different aspects of working with this unique data pattern. The final section will cover the building of an end-to-end data pipeline to ingest, process and store high speed, time series data.
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Photo of Patrick McFadin

Patrick McFadin

Datastax

Patrick McFadin is regarded as a foremost expert for Apache Cassandra and data modeling. As Chief Evangelist for Apache Cassandra and consultant working for DataStax, he has been involved in some of the biggest deployments in the world.

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Comments

Rajesh Haran
02/18/2015 5:36am PST

Can the slides and instruction can be posted online please?

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Patrick McFadin
02/17/2015 1:05pm PST

Thanks Aravind. I just pushed your changes into the main repo

Aravind  Yarram 
02/17/2015 10:25am PST

For the people who are using windows. I slightly modified the steps. You can find them here https://github.com/funpluscharity/killrweather

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Patrick McFadin
02/17/2015 6:57am PST

Hi everyone,

Looking forward to tomorrow. If you want to get a jumpstart on the downloads, clone this github project:

https://github.com/killrweather/killrweather

You will find instructions in the README to install Apache Cassandra. Everything is included in the project.

See you tomorrow!

Patrick

Abhishek Bangalore Sreenivasa
02/13/2015 9:05am PST

What’s the prerequisite for this tutorial? Anything I need to prepare or download?