Sparkflows Big Data Use Cases
Below are some of the top big data use cases easily enabled by Sparkflows
Each of these use cases will take less than 30 mins with Sparkflows
Self-Serve Big Data Analytics
Accomplish Big Data Analytics with Drag & Drop with 100+ building blocks
Perform Machine Learning on huge datasets with drag and drop
Perform NLP on Big Data with OpenNLP & StanfordNLP
Build Log Analytics Platform with Kafka, Spark, Solr/Elastic Search, Hue
Perform large scale Entity Resolution on data from multiple channels
Create Rich Dashboards from the output of various workflows
Build ETL pipelines with ease. Also incorporate SQL, Scala, Jython in it.
Perform Streaming Analytics reading from Kafka,performing complex transformations, generate graphs and write out to Solr, Hbase etc.
Perform OCR on millions of images with Tesseract
Loading Data into ES, Solr and HBase
Easily load data into Elastic Search, Solr, HBase etc.
Convert Big Data from one format to another
Hadoop Small Files Problem
Easily merge small files and create large ones