2015
O'Reilly Media
Patrick McFadin
3:51
English
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.
Introduction
Introduction to Time Series Problems 09m 57s
Kafka
Kafka Architecture and Deployment 11m 33s
Kafka Usage 03m 42s
Spark
Introduction to Spark 15m 42s
Spark Architecture 12m 02s
Spark Streaming
Spark Streaming: Windows & Slides 08m 34s
Spark Streaming: Ingestion Sources & Using Kafka 08m 32s
Sparks Streaming: Operations on the Stream 01m 30s
Cassandra
Introduction to Cassandra 08m 56s
Cassandra Basic Architecture 11m 59s
Replication, High Availability and Multi Datacenter 14m 06s
Cassandra Weather Website Example 11m 45s
Cassandra Query Language (CQL) 18m 00s
Cassandra Partitions & Clustering 08m 21s
Cassandra Read and Write Path 12m 17s
Working with Cassandra 06m 31s
Cassandra Drivers and Access Patterns 10m 36s
Spark and Cassandra
Spark and Cassandra Architecture 12m 00s
Analyzing Cassandra Data & Spark SQL 12m 12s
Spark and Cassandra DataStax Enterprise 04m 30s
Real World Use Cases
Real World Use Cases: Streaming Problems 17m 11s
Real World Use Cases: In-place Analytic Problems 10m 57s
Download File Size:1016.16 MB
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