Developer Blog
Accelerating Geospatial Queries for Supply Chain… from Days with Alteryx, to Seconds on Kinetica
Recently, a top 3 global retailer was able to reduce run times for a strategic analytic application from days on Alteryx to just 22 seconds using Kinetica....
An Introduction to OLAP for Data Analytics
Data is a critical part of modern businesses. Almost all of our interactions with businesses – online or otherwise- end up touching a business decision system that is based on data....
Getting Started with Spatial Data
With the vast volume of cellphones, packages, vehicles, purchases and other items moving through time and space, a good foundational understanding of how spatial data can be used is increasingly valuable....
Kinetica Geospatial Visualization for Tableau
Best-in-breed BI tools, like Tableau, have excellent geospatial visualization for small and manageable data sets....
Multiple Supply Demand Chain Optimization (MSDO) Graph Solver
B. Kaan Karamete, PhD, is Senior Director of Engineering for Geospatial, Graph, and Visualization at Kinetica
Matching supply chain logistics to demand based routing is a daily, non-trivial task essential to several companies like Amazon and Uber....
Sensitive Data Protection in Kinetica
Introduction
Protecting personal and sensitive data, and complying with security and privacy regulations, is high priority for organizations....
Forecasting Demand During Crisis: GPU Accelerated Recurrent Neural Networks With TensorFlow 2.0
When machine learning models fall victim to anomalies, real-time up to date data, accelerated model training, and an agile deployment process become critical in the response effort....
Analyzing Meetup RSVPs with Kinetica – Part One
Introduction
Geospatial data is everywhere. Mapping directions, tracking a package, and reading a weather report are all examples of how we use geospatial data in our daily lives....
Working with RAPIDS Using Kinetica’s pyGDF Open Source API
With the rise of GPU computing, streamlining the processing of data on GPUs has become critical to increase the speed and efficiency of machine learning....
Kinetica Sparse Data Tutorial
Introduction
This tutorial describes the application of Singular Value Decomposition or SVD to the analysis of sparse data for the purposes of producing recommendations, clustering, and visualization on the Kinetica platform....