Collaborative Self-Serve Advanced
Analytics with Sparkflows + Google Cloud Platform (GCP)
Perform Data Analytics, Data Exploration, and build ML models
and Data Engineering in minutes using the 450+ Processors in Sparkflows
Sparkflows is deeply integrated with and certified on GCP. It can be installed on an GCP machine, run in standalone mode, or submit the jobs to Google Cloud Dataprep. It can process data from Google Cloud Storage, BigQuery, Google Cloud Data etc.
Build and Run Analytics and ML jobs on Dataproc or standalone machines
Read and Write data to Google BigQuery
Seamlessly read files from Google Cloud Storage and process them
Read and process streaming
data from Apache Kafka and Google Cloud Dataflow
Send data to and build ML
models on Vertex AI Workbench
Results include data in
Charts, Tables, Text etc
Integration with Google cloud Dataproc
Sparkflows can be easily installed on GCP. It can connect to any Google Dataproc cluster, submit jobs to it and display results.
Integration with Google Cloud Dataprep
Sparkflows can submit the Analytical Jobs to be run onto Google Dataprep. The results and visualizations are displayed back in Sparkflows.
Integration with BigQuery
Sparkflows is fully integrated with BigQuery. Sparkflows has processors for reading from and writing to BigQuery. Seamlessly browse the BigQuery catalog, run queries and view results.
Integration with Google Cloud Storage
Sparkflows allows you to access your files on Cloud Storage. The jobs run by Sparkflows can read from and write to files on Cloud Storage. The files can be in various file formats including CSV, JSON, Parquet, Avro, etc. Sparkflows also allows you to browse your files on Cloud Storage.
Integration with Vertex AI Workbench
Sparkflows is fully integrated with Vertex AI Workbench. Sparkflows provides a number of processors for doing model building with Vertex AI Workbench. These include :
Scikit-learn library Models
Benefits of Sparkflows on Google Cloud
Find quick value with Sparkflows and GCP
Enable Business Analysts
Enable Business Analysts to find quick value with GCP clusters.
Self Serve Advanced Analytics
Enable users to do Analytics and Machine Learning in minutes.
Enable 10x more users to build
Data Science use cases.
10x More Users
Makes it easy to build, maintain