Getting your data from AppsFlyer 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 AppsFlyer 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.
AppsFlyer is a mobile app analytics SaaS tracks app behavior and mobile advertising data. Panoply comes with AppsFlyer integration, allowing companies to move their analytics directly into the Panoply Smart Data Warehouse without any ETL or ELT support needed.
Once within the data warehouse, Panoply allows you to connect and combine your AppsFlyer data with all of your other data sources and analytics. Your data is accessible in the cloud in minutes, and your marketing staff, data scientists, and data analysts can begin learning new ways to improve mobile conversions and generate revenue from within Panoply itself. Query, report, and follow your AppsFlyer data, all without the need to write custom scripts with Panoply.
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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