#apache_cassandra #apache_kafka #apache_spark #online #training #workshop
https://www.safaribooksonline.com/live-training/courses/building-distributed-pipelines-for-data-science-using-kafka-spark-and-cassandra/0636920080152/
https://www.safaribooksonline.com/live-training/courses/building-distributed-pipelines-for-data-science-using-kafka-spark-and-cassandra/0636920080152/
Safari | O'Reilly
Building Distributed Pipelines for Data Science Using Kafka, Spark, and Cassandra
Building a distributed pipeline is a huge—and complex—undertaking. If you want to ensure yours is scalable, has fast in-memory processing, can handle real-time or streaming data feeds with high throughput and low-latency, is well suited for ad-hoc...
#smack #apache_spark #apache_cassandra #apache_kafka #apache_mesos #akka #tutorials
https://www.safaribooksonline.com/learning-paths/learning-path-smack/9781788622769/
https://www.safaribooksonline.com/learning-paths/learning-path-smack/9781788622769/
O'Reilly | Safari
Learning Path: SMACK: Getting Started with Scala, Spark, and the SMACK Stack
Build scalable and efficient data processing platforms In Detail SMACK is an open-source full stack for big data architecture. It is a combination of Spark, Mesos, Akka, Cassandra, and Kafka. ...
#apache_spark #graphX #time_series #apache_cassandra
https://www.slideshare.net/patrickmcfadin/analyzing-time-series-data-with-apache-spark-and-cassandra
https://www.slideshare.net/patrickmcfadin/analyzing-time-series-data-with-apache-spark-and-cassandra
www.slideshare.net
Analyzing Time Series Data with Apache Spark and Cassandra
You have collected a lot of time series data so now what? It's not going to be useful unless you can analyze what you have. Apache Spark has become the heir ap…
#nosql #overview #apache_cassandra #vs #hbase #mongodb #redis
https://www.slideshare.net/EdurekaIN/no-sql-databases-35591065
https://www.slideshare.net/EdurekaIN/no-sql-databases-35591065
www.slideshare.net
HBase Vs Cassandra Vs MongoDB - Choosing the right NoSQL database
NoSQL includes a wide range of different database technologies and were developed as a result of surging volume of data stored. Relational databases are not ca…