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Loading From Web APIS

This demonstration shows how simple it is to load data from JSON files and REST API calls into your data warehouse using WhereScape RED.

In this video, you’ll learn:
– How to use the built-in file parsing capabilities in WhereScape RED.
– Step-by-step instructions to load a JSON file into your data warehouse.
– Parsing JSON files into table and column definitions, regardless of the nested structure.
– Creating load tables and generating Python scripts for parsing data. – Loading data into various targets like Snowflake, Databricks, Synapse, SQL Server, and Oracle.
– Setting up and using REST API connections to pull in data.
– Configuring API call parameters and parsing the returned data into tables. Watch as Brad guides you through these processes with practical examples, ensuring that even complex JSON and API data can be efficiently integrated into your data warehouse.

Whether you’re dealing with government vehicle data or university data, WhereScape RED makes it easy and automated.

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Databricks

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Snowflake

Start using Snowflake faster by simplifying and automating the design, build, and population of data warehouse tables.
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SQL Server

Supercharge your data solutions – combine Microsoft SQL Server’s rock-solid performance with data automation, to deliver cost-effective analytics at speed.

“It took the architects a day and a half to solve all four use cases. They built two Data Vaults on the host application data, linked the two applications together and documented the whole process. This was impressive by any standard. After that it was an easy process to get all the documents signed.”

Daniel Seymore, Head of BI, Investec South Africa

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"At seven months into the project we can say it really worked out. We have been able to really quickly develop an initial MVP for our first country and that was really good. The automation and the changes we needed to do were rapidly applied. We had to remodel a few things and that was done within a day with the automation in WhereScape."

Carsten Griefnow, Senior BI Manager

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"It’s like having five people with only really two people working on it."

Will Mealing, Head of Data & Analytics at L&G

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