dhutchis / d4mBBLinks
Introducing D4M with Baseball analytics
☆18Updated 11 years ago
Alternatives and similar repositories for d4mBB
Users that are interested in d4mBB are comparing it to the libraries listed below
Sorting:
- This project describes the D4M 2.0 Schema used in many Accumulo systems.☆21Updated 5 years ago
- Dynamic Distributed Dimensional Data Model☆42Updated last year
- An open-source, vendor-neutral data context service.☆161Updated 7 years ago
- Apache Spark OpenCPU Executor (ROSE)☆26Updated 7 years ago
- Machine Learning Pipeline Stages for Spark (exposed in Scala/Java + Python)☆74Updated 2 years ago
- Implementations of the Portable Format for Analytics (PFA)☆126Updated 3 years ago
- Generates more or less realistic log data for testing simple aggregation queries.☆263Updated 2 years ago
- ☆41Updated 8 years ago
- spark package to natively read S3 files instead of through hadoop, improving speed☆11Updated 9 years ago
- ☆53Updated 3 months ago
- Spark implementation of the Google Correlate algorithm to quickly find highly correlated vectors in huge datasets☆92Updated 9 years ago
- DEPRECATED Build, manage and deploy H2O's high-speed machine learning models.☆61Updated 6 years ago
- ☆61Updated 3 months ago
- Demonstrates NiFi template deployment and configuration via a REST API☆70Updated 8 years ago
- Coding exercises for Apache Spark☆104Updated 10 years ago
- A library for exporting Spark ML models and pipelines to PFA☆54Updated 7 years ago
- A framework for systematically quality controlling big data.☆40Updated 2 years ago
- Example projects for using Spark and Cassandra With DSE Analytics☆58Updated 3 months ago
- MLeap allows for easily putting Spark ML pipelines into production☆78Updated 9 years ago
- Portable Format for Analytics☆27Updated 9 years ago
- Demonstration code for MLeap, both Jupyter notebooks and projects☆24Updated 6 years ago
- ☆24Updated 10 years ago
- Cheatsheet for Spark DataFrame☆91Updated 6 years ago
- Complete Pipeline Training at Big Data Scala By the Bay☆71Updated 10 years ago
- Simplify getting Zeppelin up and running☆56Updated 9 years ago
- Distributed DataFrame: Productivity = Power x Simplicity For Scientists & Engineers, on any Data Engine☆167Updated 4 years ago
- ☆107Updated 3 years ago
- Simple Spark app that reads and writes Avro data☆31Updated 10 years ago
- Distributed, streaming anomaly detection and prediction with HTM in Apache Flink☆136Updated 8 years ago
- Modeling Lifecycle with ACME Occupancy Detection and Cloudera☆14Updated 8 years ago