What’s the Challenge
This process can be complex and time-consuming. It typically requires the Challenge data preparation in the form of ETL (Extract, Transform, and Load) workflows that transform the data from its current JSON format into the table format that allows users to join data to existing the Challenge tables and schemas in the database and query it using BI and analytics tools as well as SQL queries.
Dealing with JSON files in workflows
Third-party tools, when the rest of your data is already in a centralized database, also telemarketing data introduces inefficiencies and the potential for additional steps each time changes need to be made or new sources are introduced.
It’s necessary to empower the customers, partners, and users from our community with the fastest and most seamless experience when they work with data to address their business challenges and find answers to their questions.
To address the need of organizations working with semi-structured data, it’s important to make JSON functions executable directly in the database. When you work with JSON files, you no longer need to use user-defined functions (UDFs) to execute JSON functions. Instead, they are available directly through SQL.
The time saved by removing
Additional steps from the data preparation process can open up the capacity for you and your team to address other key topics for your organization’s Data Strategy. These may range from data security to effective data democratization and potential implementation projects for new solutions.
By giving you a standardized, simplified, and highly effective way of dealing with semi-structured data, directly in the database, we want to give you some time back and also help you deal with all your data in one place.