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 Lyftron Data 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 source connection to fetch the data from Odata.
Step2: Create target connection to load the data into Snowflake.
Step3: Create data source for Odata connection under Normalize section and import the tables.
Step4: Create data target for Snowflake under Warehouse 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 Snowflake database under Analyze section.
Lyftrondata detail quickstart steps
It’s easy for any non-technical person to start working on the Lyftron platform with 6 easy steps as shown on the above flow. Follow the below detail steps for better understanding of using the platform
|Connect||It’s the 1st step in creating the connection to a source platform you would like to connect like DynamoDb, SqlServer, Postgres, Teradata, Json, Rest and many more sources.|
|Normalize||It’s the 2nd step where you import the metadata in the source section and Lyftron automatically normalize and standardize the data from Json/API/XML and other Sql dialects into ready to query ANSI Sql relational format.|
|Analyze||It’s the 3rd step where Lyftron enables the user to query the source data with simple ANSI Sql queries.|
|Warehouse||It’s the 4th step where Lyftron enables the user to create the data pipeline from Sources that you have already normalize in Step2 like Shopify, Csv, Salesforce etc to target data warehouses or lake platforms like Lyftron Warehouse, Lyftron Lake, Snowflake, Redshift, Google Bigquery, Microsoft Synapse, Databricks, S3, Blob and many more.|
|Visualize||It's the 5th step where Lyftron enables the user to directly connect from their BI platforms to Lyftron like Looker, Thoughtspot, Tableau, PowerBI, Excel etc.|
|Share||It’s the 6th step and Lyftron enables providers to share the data with consumers so custom API/Email/FTP for data sharing is a thing of the past.|