Overview
The Lyftrondata Provider for Jupyter offers the most natural way to access any data providers listed at our integration data eco system from Lyftrondata with ease and also enables to connect with zero code and zero infrastructure requirements. The provider wraps the complexity of accessing any data into easy-to-integrate relational fully managed ANSI Sql format. Make faster and better business decisions with Lyftrondata’s Jupyter data provider and automatically build your data migration pipelines in minutes, not months.
The provider hides the complexity of accessing data and provides additional powerful security features, smart caching, batching, socket management, and more.
Key Features
- Comprehensive Delta load mechanism.
- Real-time access to to any API data, relational and no sql data.
- Comprehensive full support of ANSI Sql to query data with ease on API, S3, Blob, Nosql
- Collaborative query processing.
Prerequisites
The user must have a connection setup with Lyftrondata so they can connect Jupyter with Lyftrondata using Sql server driver
Establishing a Connection
Establishing a Connection with Lyftrondata to a Data Tool by following the 2 easy steps show below:
Step1. Choose Sql Server Driver 2012 and above
Lyftrondata can connect to any data tool using a Sql server driver with Version 2012 and above
Step2. Create Sql server connection to Lyftrondata environment
Lyftrondata listens to incoming connections at the server name and port: Refer below table for details
| Key | Value | Field |
| Connection Name | Enter your connection details | Required |
| Host, Port | Your Lyftrondata IP and Host Number | Required |
| Database | Your Lyftrondata Database | Required |
| Database Driver | SQL Server Driver | Required |
| User | Your Lyftrondata Username | Required |
| Password | Your Lyftrondata Password | Required |
Refer Lyftrondata's Quick Start Guide for further details
You can start working on the Lyftrondata platform with 6 easy steps as shown on the above flow. Follow the below detail steps for better understanding of using the platform -Connect , Normalize, Analyze,, Warehouse, Visualize and Share your data.
For more information on Application Development Technologies you can click here