Onboarding at a glance
There's a lot to do, and it will take some time, but don't feel daunted by the scale of the task ahead of us. We have successfully onboarded many enterprises already, and we know that the secret to success lies in transparency, good communication, and the right preparation.
Before your onboarding begins, as a quick reminder, here is a video about the brief overview of the Lyftrondata platform: This video covers a quick demo to load the data from Odata service into Snowflake with easy steps to help our first-time users with Lyftrondata process knowledge.
Step1: Create a source connection to fetch the data from OData.
Step2: Create a target connection to load the data into Snowflake.
Step3: Create a data source for Odata connection under the Source section and import the tables.
Step4: Create a data target for Snowflake under the Target section.
Step5: Migrate data from Odata source into Snowflake target by creating the pipelines.
Step6: Monitor the loads.
Step7: Validate the loads by running the query from the Snowflake database under Analyze section.
Lyftrondata detail quickstart steps
It’s easy for any non-technical person to start working on the Lyftrondata platform with six easy steps as shown in the image above. Follow the steps below for a better understanding of using the platform.
|Connect||Step 1: connect to a source platform such as DynamoDb, SqlServer, Postgres, Teradata, Json, Rest, or many more sources.|
|Source||Step 2: import the source metadata allowing Lyftrondata to automatically import the data from Json/API/XML and other SQL dialects into ready-to-query ANSI SQL relational format.|
|Analyze||Step 3: query the source data with simple ANSI SQL queries.|
|Target||Step 4: create the data pipeline from the data sources (in Step 2) to the target data warehouse or data lake platforms, such as Lyftrondata Warehouse, Lyftrondata Lake, Snowflake, Google Bigquery, Microsoft Synapse, and many more.|
|Visualize||Step 5: visualize the data by connecting directly to your BI platform such as Looker, Thoughtspot, Tableau, PowerBI, Excel etc.|
|Share||Step 6: share the data with consumers making custom API/Email/FTP for data sharing a thing of the past.|