📄️ How to Add a Data Source
Nexla's bi-directional connectors make ingesting data from any location easy.
📄️ File Formats (Supported Formats & File Ingestion)
1. Automatic File Format Detection
📄️ Keys for Table Extraction from PDF Files
This article provides information about required and optional keys used to configure the semi-automatic extraction of data from tables in PDF files when setting up a data source in Nexla.
📄️ Working with Text Files & Delimiter-Separated Values
Nexla supports delimiter-separated data formats. In addition to file extension, Nexla also analyzes file content to detect delimiters and escape characters. You can also explicitly configure Nexla to recognize a delimiter for any text file.
📄️ Advanced Settings for File-Based Sources
The advanced settings available when setting up a file-based data source in Nexla allow full customization of data ingestion to suit any use case. These settings can be used to configure file parsing options, ingest files according to modification date or path pattern(s), define how data should be organized into Nexsets, and more.
📄️ Database Sources - Table Mode & Query Mode
Nexla's database connectors provide self-serve capabilities to serve any use case ranging from simple to complex. One feature supporting these varied use cases is the ability to set up a database source—for example, a Google BigQuery or Databricks source—using Table Mode or Query Mode.
📄️ Connect to Netsuite Analytics Warehouse
This article explains how to connect to NetSuite Analytics Warehouse (NSAW) in Nexla to fetch object records.
📄️ Data Source Advanced Settings
The advanced settings available when setting up a data source in Nexla allow full customization of data ingestion to suit any use case. These settings can be used to configure file parsing options, ingest files according to modification date or path pattern(s), define how data should be organized into Nexsets, and more.