data engineering apis

Step-by-Step Data Matching in the Cloud Tutorial

by Interzoid Team

Posted on February 25th, 2023

Match Report Type for Data Matching Tutorial

We have published a step-by-step tutorial demonstrating the automated identification of inconsistent company name data in a dataset. It shows our Cloud Data Connect product that connects to various data sources and runs match reports, appends similarity keys, generates SQL, and performs several other functions utilizing Interzoid APIs behind the scenes to identify matches.

The tutorial found here provides a walkthrough of the automated generation of a match report of possible duplicate data for a CSV file that is stored in the Cloud in AWS S3. The product works the same for Cloud databases such as Snowflake, AWS RDS, Google Cloud SQL, Microsoft Azure SQL, Postgres, MySQL, and several others. It also works with other data content types such as individual person data and street address data, data that is typically inconsistently represented within databases.

Database Cloud Connect for Matching Data Tutorial
Connect Directly to Cloud Databases and Perform Data Quality Analysis
Achieve better, more consistent, more usable data
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Free Trial Credits
Register for an Interzoid API account and receive free trial credits. See how your strategic data assets can be improved.
Automate API Integration into Cloud Databases
Run live data quality exception and enhancement reports on major Cloud Data Platforms direct from your browser.
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Step-by-Step Tutorial for Data Matching
See quickly one example of how inconsistent data can be identified within databases and datasets with ease.
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Example API Usage Code on Github
Sample Code for invoking APIs on Interzoid in multiple programming languages
Business Case: Cloud APIs and Cloud Databases
See the business case for API-driven data enhancement - directly within your important datasets
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