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An Introduction to Time Series with Team Apache

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An Introduction to Time Series with Team Apache

English | August 2015 | mp4 | H264 1280x720 | AAC 1 ch | 3 hrs 50 min | 1 GB

eLearning

Using Kafka, Spark, and Cassandra to Solve Time Series Problems

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.

An Introduction to Time Series with Team Apache

An Introduction to Time Series with Team Apache

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  1. Team Apache处理时间序列导论 使用Kafka、Spark和Cassandra处理时间序列问题。 随着创建数据越来越简答,我们目前面对着成规模地收集和分析以往从未见过的大量数据。在这部基于实践的教程中,Apache Cassandra倡导者Patrick McFadin将会演示如何使用Team Apache所带来的技术,如Kafka、Spark和Cassandra处理时间序列数据问题。要掌握如何使用这些技术,你需要处理一个天气数据收集网络的真实案例。 通过本教程的学习,你讲掌握使用Kafka,这个消息代理机制处理实时数据;使用Spark这个并行处理框架,快速有效地分析海量数据;使用Spark Streaming执行有效数据流分析;使用Cassandra这个分布式数据库;掌握Cassandra查询语言的使用;掌握Spark和Cassandra和集成使用。
    wilde(特殊组-翻译)1年前 (2015-09-14)