<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Load Data on Kinetica Docs</title><link>/7.2/aws/load_data/</link><description>Recent content in Load Data on Kinetica Docs</description><generator>Hugo -- gohugo.io</generator><language>en</language><atom:link href="/7.2/aws/load_data/index.xml" rel="self" type="application/rss+xml"/><item><title>Data Loading Concepts</title><link>/7.2/aws/load_data/concepts/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>/7.2/aws/load_data/concepts/</guid><description>Introduction The Basics of Loading Data Data Loading Interfaces Data Sources Supported Data Sources Creating a Data Source Create Credential Create Data Source SQL Examples Supported File Types Parquet Limitations Transformed Types Skipped Types JSON/GeoJSON Limitations Loading Data Workbench JDBC Client External Tables Load Into KiSQL Advanced Ingestion Type Inferencing Change Data Capture Tuning Batch Size Custom Ingest Applications 3rd Party Tools Examples File/Queue-Based Query-Based More SQL Examples Introduction Loading data in Kinetica is a nuanced process that is dependent on several factors, including the interface being used, the data source you are ingesting from, the chosen data format, and the desired access pattern for the external data.</description></item></channel></rss>