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Developer Blog

Simon Ambridge | July 21, 2021

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....
Hari Subhash | July 14, 2021

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....
Matt Brown | May 5, 2021

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....
Matt Brown | March 30, 2021

Kinetica Geospatial Visualization for Tableau

Best-in-breed BI tools, like Tableau, have excellent geospatial visualization for small and manageable data sets....
Kaan Karamete | February 9, 2021

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....
Dipti Joshi | December 7, 2020

Sensitive Data Protection in Kinetica

Introduction Protecting personal and sensitive data, and complying with security and privacy regulations, is high priority for organizations....
Nick Alonso | June 8, 2020

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....
Matt Brown | February 6, 2019

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....
Zhe Wu | October 30, 2018

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....
Chad Juliano | September 27, 2018

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....