Getting your data from Square to Databricks can be a pain. Managing pipelines for all your data sources just isn’t sustainable, but your reporting can’t be put on hold while you wait for IT or Engineering to get to your ticket.
With Panoply, you can eliminate that hassle—and all that wasted time. Set up code-free connections to both Square and Databricks with just a few clicks. Then Panoply will automatically sync your data so it’s ready to analyze when you are.
It’s that simple: Unblock your data with Panoply.
Square is a financial services company that provides payment aggregator and POS services. From side hustles to enterprise level businesses, Square allows merchants to accept credit and debit card payments for online and in-person sales. Its dashboard feature provides basic analytics helping users to track sales trends and identify repeat customers, but users will find the data from Square alone is insufficient to gain a full picture of their business’s health. With the help of Panoply’s code-free data platform, merchants can finally get a 360 picture of their business. Panoply allows merchants to sync, store, and combine their Square data with other data sources like Facebook Ads, Google Analytics, PowerBI, and Shopify, revealing game-changing analytics and visualizations that go far beyond Square’s basic insights.
Databricks Unified Analytics was designed by the original creators of Apache Spark. This paid BI tool combines data science and engineering to perform massive-scale ML data operations. It’s an integrated platform that prepares data, runs experiments, and continuously trains and builds ML models. Then Databricks deploys the AI apps you create across multiple platforms.
Expand Databricks capabilities by integrating it with Panoply with one click. Panoply is the only cloud service that combines an automated ETL with a data warehouse. With Panoply’s seamless Databricks integration, all types of source data are uploaded, sorted, simplified and managed in one place. The Panoply pipeline continuously streams the data to your Databricks output. So your models and apps are always delivering real-time analytics.
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