Asana Amazon SageMaker Integration

Asana connector for Integration with Amazon SageMaker. Easily load Asana data to a database and analyze it with Amazon SageMaker.

Analyze Your Asana with Amazon SageMaker

The best way to perform an in-depth analysis of Asana data with Amazon SageMaker is to load Asana data to a database or cloud data warehouse, and then connect Amazon SageMaker to this database and analyze data. Skyvia can easily load Asana data (including Tasks, Projects, Users, etc.) to a database or a cloud data warehouse of your choice.

SourceSkyviaData WarehouseBI Tool

Integrate Asana to Database or Data Warehouse

Use ELT or ETL Integration Process

ELT (Replication)

ELT process supposes simple copying cloud data to a data warehouse or a database as-is, leaving all the transformation tasks for the database server. This is often uses, for example, when loading data to cloud data warehouses with affordable and nearly unlimited computing power for transformations. In Skyvia, this task is solved with easy-to-configure Replication packages.

ETL (Import)

ETL process supposes that data structure in source and target is different, and data must be transformed before loading it into target database. For example, you may want to create a schema for OLAP or simply have target tables for data already created. In Skyvia, this is task solved with Import packages, having powerful mapping and transformation capabilities.

Asana Replication Features

Simple No-coding Setup

All you need to do is to specify parameters for connecting to Asana and data warehouse and select which data to replicate.

Keep Data Up-to-Date

Skyvia’s Replication Tool will painlessly ensure you always have the most current data from your cloud applications in your data warehouse.

Automatic Schema Creation

You don’t need to prepare the database — Skyvia creates the tables, corresponding to the source objects, in the data warehouse automatically.

Asana Import Features

Powerful Data Transformations

Skyvia offers powerful mapping features for data transformations. You can perform data splitting, use complex expressions and formulas, lookups, etc.

Import of New and Updated Data

You can import only new and updated records, and thus, keep your database for analysis always up-to-date.

Preserve Data Relations

With Skyvia all the relations between the imported Asana objects will be preserved. You need just to specify them in mapping.

Connect Asana and Amazon SageMaker with minimal effort and in only a few clicks!