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Unlock New Insights with Kinetica and ArcGIS

By Linda Stevens | August 10, 2023

Esri’s ArcGIS is renowned as a robust solution for creating, managing, and analyzing geospatial data. With its comprehensive functionality and impressive capabilities, it has become the platform of choice for organizations that build GIS systems. From establishing spatial relationships to automating assets like utility networks and examining natural phenomena such as wetlands, ArcGIS excels at…

GPU Accelerated Analytics – A Comparison of Databricks and Kinetica

By Chad Meley | July 26, 2023

GPUs have continued to rise in interest for organizations due to their unparalleled parallel processing power. Leveraging GPUs in an enterprise analytics initiative allows these organizations to gain a competitive advantage by processing complex data faster and extracting valuable insights against a larger corpus of data that can result in break-through insights. Both Databricks and…

Time Series Analytics

By Dan Graham | July 13, 2023

There are useful timestamp functions in SQL, Python, and other languages.  But, time series analysis is quite different. Times series data is often never-ending measurements in a points-in-time sequence.  The data is almost painful to the human eye but fits well  into computers.  Time series analysis find correlations, conflicts, trends, or seasonal insights using sophisticated…

Conversational Query with ChatGPT and Kinetica

By Hari Subhash | May 3, 2023

Kinetica is a high-speed analytical database for big data. Its integration with ChatGPT allows you to havea sophisticated analytical conversation with your data in English no matter the scale. This post will show you how to set up and use this integration. Step 1: Launch Kinetica  Kinetica offers a “free forever” managed version with 10…

Using Window Functions in SQL

By Hari Subhash | April 20, 2023

Window functions allow us to perform calculations on a subset of rows in a table, rather than the entire table. A window function performs a calculation across a set of rows that are related to the current row, based on a specified window of observations. They are used to calculate running totals, ranks, percentiles and…

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