Quick Start with Kinetica

Short tutorials to help you get up and running

The wait is finally over. The Kinetica Streaming Data Warehouse streams and analyzes together, incorporating all your data for a complete picture of the state of the business. With location intelligence and machine learning built in, you get context and predictive analytics without complex, time-consuming integrations. Follow our step-by-step, simple how-to process to get started.

#1
Provision and install Kinetica on a virtual machine, laptop, or server using KAgent. This tutorial requires a license key. Register Here
#2
A quick walkthrough of the product including the GAdmin tools and Reveal BI dashboard. We will also load some sample data for future exercises.
#3
Learn how to import CSV and Parquet data using local storage and an AWS S3 bucket and ingesting streaming data using Kafka with the Active Analytics Workbench.
#4
See how you can use SQL with Kinetica. Examples include some more complex spatial joins to show taxi rides by neighborhood.
#5
Learn how to use spatial joins to ask which neighborhoods in New York City are likely to tip the most. This tutorial shows how to use spatial queries and then how to plot that data on a map.
#6
Use the Active Analytics Workbench to import and deploy a model, make inferences, and audit a model.

The Kinetica Streaming Data Warehouse

The Kinetica Streaming Data Warehouse

Documentation