TargetHolding / pyspark-cassandraLinks
PySpark Cassandra brings back the fun in working with Cassandra data in PySpark.
☆79Updated 8 years ago
Alternatives and similar repositories for pyspark-cassandra
Users that are interested in pyspark-cassandra are comparing it to the libraries listed below
Sorting:
- ☆110Updated 8 years ago
- An Apache Spark-shell backend for IPython☆105Updated 4 years ago
- MLeap allows for easily putting Spark ML pipelines into production☆78Updated 8 years ago
- Simplifying robust end-to-end machine learning on Apache Spark.☆474Updated 8 years ago
- ☆146Updated 9 years ago
- Visualize streaming machine learning in Spark☆177Updated 8 years ago
- Spark Extension : ML transformers, SQL aggregations, etc that are missing in Apache Spark☆146Updated 9 years ago
- Sparkling Pandas☆364Updated 2 years ago
- Locality Sensitive Hashing for Apache Spark☆196Updated 8 years ago
- An external PySpark module that works like R's read.csv or Panda's read_csv, with automatic type inference and null value handling. Parse…☆90Updated 9 years ago
- Distributed DataFrame: Productivity = Power x Simplicity For Scientists & Engineers, on any Data Engine☆167Updated 4 years ago
- An example of running Apache Spark using Scala in ipython notebook☆140Updated 10 years ago
- Spark GCE Script Helps you deploy Spark cluster on Google Cloud.☆43Updated 10 years ago
- Functional, Typesafe, Declarative Data Pipelines☆139Updated 7 years ago
- Vagrant projects for various use-cases with Spark, Zeppelin, IPython / Jupyter, SparkR☆34Updated 9 years ago
- Training materials for Strata, AMP Camp, etc☆149Updated 9 years ago
- An efficient updatable key-value store for Apache Spark☆252Updated 8 years ago
- Live-updating Spark UI built with Meteor☆189Updated 4 years ago
- Gallery of Apache Zeppelin notebooks☆216Updated 6 years ago
- Information for setting up for the BerkeleyX Spark Intro MOOC, and lab assignments for the course☆347Updated 4 years ago
- Google BigQuery support for Spark, SQL, and DataFrames☆155Updated 5 years ago
- Google Cloud Dataflow provides a simple, powerful model for building both batch and streaming parallel data processing pipelines.☆164Updated 8 years ago
- Code reference from my Qbox blog posts.☆87Updated 10 years ago
- Docker image for general apache spark client☆117Updated 8 years ago
- Scripts used to setup a Spark cluster on EC2☆390Updated 7 years ago
- Complete Pipeline Training at Big Data Scala By the Bay☆71Updated 9 years ago
- Coding exercises for Apache Spark☆104Updated 10 years ago
- Pure Python wrapper for the Hadoop WebHDFS Rest API☆52Updated 5 years ago
- Scalable machine learning library for Apache Hive/Spark/Pig☆503Updated 8 years ago
- Automates Spark standalone cluster tasks with Puppet and Fabric.☆43Updated 11 years ago