Copy (ELT) Toggl Track data to Amazon Redshift in a few clicks and keep it up to date automatically.
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If needed, configure replication settings — exclude certain fields, change table naming, apply data hashing, add filters for data.
Configure scheduling and run replication every month, week or day, at specific time or recurrently at any interval, up to once per minute.
View all the integration runs for any period, get email notifications and detailed per-record error logs in case of errors to help you be aware of the situation.
Many businesses want to benefit from the Amazon Redshift ability to quickly perform complex analytical queries over petabytes of data, and need to load their data from Toggl Track and other applications to the Amazon Redshift service for centralized storing and data analysis. Skyvia's Replication is the perfect tool for secure replication to a data warehouse, as it loads data much faster than standard ETL tools and allows you to copy Toggl Track objects (including Projects, Tasks, etc.) to Amazon Redshift in just a few clicks and keep this copy up to date.
You don’t need to prepare the Amazon Redshift database — Skyvia creates the tables, corresponding to the Toggl Track objects, in the data warehouse automatically. Besides, it can automatically modify target Amazon Redshift tables according to new fields added in Toggl Track.
With Skyvia you can extract and load all the data from a Toggl Track object or disable loading for some Toggl Track object fields. You can also configure filters for data to replicate.
Skyvia allows you to hash sensitive data, like names and emails. You can conceal personally identifiable information for better compliance and preserve analytical value of replicated data at the same time.
Skyvia not just copies Toggl Track data to Amazon Redshift once, it can keep your Amazon Redshift database up-to-date with Toggl Track automatically, ensuring you always have fresh data for data analysis without any user intervention.
History mode allows you to store all versions of Toggl Track records in your Amazon Redshift database instead of keeping only the current versions. You can select the mode for each object separately.
By default, target tables are named in the same way as source objects. Skyvia offers settings that allow you to change target table names — for all Toggl Track objects in the integration or for each one separately. This is especially useful if you load several Toggl Track instances into the same Amazon Redshift database, and want to use separate tables for them.
Skyvia combines a high-performance optimized batch data loading into Amazon Redshift with a granular, per-record data insertion and error logging in case of any errors.
If you need more than just to copy data from Toggl Track to Amazon Redshift, you may use Skyvia's powerful ETL functionality for Toggl Track and Amazon Redshift integration. Skyvia's Import tool will correctly extract Toggl Track data, transform it, and load to Amazon Redshift when Amazon Redshift tables have different structure than Toggl Track objects. Besides, if you ever need to load data back from Amazon Redshift to Toggl Track, Skyvia Import allows loading data in any direction, supporting Reverse ETL scenario.
For more complex cases, you can use Data Flow and Control Flow tools. They are designer-based solutions for creating complex data pipelines, involving not only Toggl Track and Amazon Redshift connectors, but any number of connectors in one integration. With these tools you can automate data workflows, involving custom logic, complex multistage transformations, combine data from different sources, load them into multiple destinations at once and many more.
Use flexible scheduling settings to automate replication
You can find detailed logs for each execution in the package Run History.
Enable email notifications and always know if anything goes wrong.
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Integrate Toggl Track and Amazon Redshift data with minimal effort with Skyvia.
