As it becomes easier to create data, we are now faced with the need to collect and analyze at scales never seen before. In this practical video course, Apache Cassandra evangelist Patrick McFadin shows how to solve time-series data problems with technologies from Team Apache: Kafka, Spark and Cassandra. To learn how to work with these technologies, you’ll work with an example weather collection network and the challenges it can produce.
Through the course of this video, you’ll investigate:
Kafka: get your data under control by handling real-time data feeds with this message broker
Spark: learn how this parallel processing framework can quickly and efficiently analyze massive amounts of data
Spark Streaming: perform effective stream analysis by ingesting data in micro-batches
Cassandra: understand how this distributed database works by examining use cases where scaling and uptime are critical
Cassandra Query Language (CQL): use this language to navigate your data models, from creating tables to inserting and selecting data
Spark and Cassandra: combine these powerful tools to perform expressive analytics over large volumes of data
Patrick McFadin is one of the leading experts of Apache Cassandra and data modeling techniques. As the Chief Evangelist for Apache Cassandra and consultant for DataStax, he has helped build some of the largest and exciting deployments in production. Prior to DataStax, he was Chief Architect at Hobsons, an education services company.
Real World Use Cases: In-place Analytic Problems 10m 57s
An Introduction to Time Series with Team Apache
Safari Videos Online
3 hours 50 minutes
Patrick McFadin is a Chief Evangelist for Apache Cassandra. He also works as a Principle Solutions Architect at DataStax, the commercial company behind Apache Cassandra. Prior to his work at DataStax he was the Chief Architect at Hobsons, an education services company. He obtained a BS in Computer Engineering from Cal Poly, San Luis Obispo.
Comments about oreilly An Introduction to Time Series with Team Apache:
I'm a beginner in this topic. When I started to watch this video I hadn't have heard anything about Kafka, Spark, Cassandra. Hence, I was afraid that I wouldn't understand a word. However, the opposite happened: the video is digestable even for me. It is concise, clear, describes everything that is required to understand the concept.
Bottom Line Yes, I would recommend this to a friend