Integrate FullContact with HDFS
By giving businesses a more comprehensive view of their customers in this way, FullContact allows them to provide a more personalized, accurate customer service experience without having to dedicate time to enriching customer data by hand.
HDFS is a Java-based file system that provides scalable and reliable data storage, and it was designed to span large clusters of commodity servers. HDFS has demonstrated production scalability of up to 200 PB of storage and a single cluster of 4500 servers, supporting close to a billion files and blocks.
Popular Use Cases
Bring all your FullContact data to Amazon Redshift
Load your FullContact data to Google BigQuery
ETL all your FullContact data to Snowflake
Move your FullContact data to MySQL
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FullContact's End Points
Provide FullContact with a customer’s email address, phone number, or Twitter handle to receive enriched customer data about them, including their name, location, demographic data (age, gender, etc.,) and social media accounts. Then, connect this data to your CRM to make your customer service and support more personalized and accurate.
Use a company’s name or domain to retrieve additional data about that organization, including their location, associated social profiles, and an array of other relevant company details. This helps ensure that you always have accurate information about the companies that you are interacting with, which can be useful for improving your future marketing, customer support, and lead scoring efforts.
Evaluate the validity of a contact’s email address and automatically correct the errors in it so that your customer data stays clean and accurate. In addition to correcting data entry errors, FullContact also returns additional data for the email address - including links to the contact’s “Person API” and “Company API” within FullContact - so that you can continue to ensure that all of your contact information remains synchronized, up-to-date, and accurate.