Presented By O'Reilly and Cloudera
Make Data Work
December 1–3, 2015 • Singapore

An Introduction to time series with Team Apache

Patrick McFadin (DataStax)
1:30pm–5:00pm Tuesday, 12/01/2015
IoT and Real-time
Location: 324 Level: Intermediate
Average rating: ****.
(4.40, 5 ratings)

Prerequisite Knowledge

Being able to run a basic server from the command line. Java or Scala programming experience. Knowledge of data related problems and solutions.


We as an industry are collecting more data every year. IoT, web, and mobile applications send torrents of bits at our data centers that have to be processed and stored. In addition, users expect an always-on experience, with little room for error. Numerous successful companies are doing this every day, and I can show you how.

In this tutorial session, we will cover the powerful Team Apache: Apache Kafka, Spark, and Cassandra. You’ll learn how to organize a stream of data into an efficient queue using Apache Kafka. Process the data in flight using Apache Spark Streaming. Store the data in a highly scaling and fault-tolerant database using Apache Cassandra. Transform and find insights in volumes of stored data using Apache Spark. Topics we will discuss:

  • Understanding the right use case
  • Considerations when deploying Apache Kafka
  • Processing streams with Apache Spark Streaming
  • Deep dive into how Apache Cassandra stores data
  • Integration between Cassandra and Spark
  • Data models for time series
  • Post processing without ETL using Apache Spark on Cassandra
Photo of Patrick McFadin

Patrick McFadin


Patrick McFadin is the vice president of developer relations at DataStax, where he leads a team devoted to making users of DataStax products successful. Previously, he was chief evangelist for Apache Cassandra and a consultant for DataStax, where he helped build some of the largest and exciting deployments in production; a chief architect at Hobsons; and an Oracle DBA and developer for over 15 years.

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Kenny Lee
11/26/2015 6:32am +08

Hi Patrick,

Can i reuse my own Apache installations (Kafka, Cassandra) for this tutorial?