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Data Warehousing with Google BigQuery and CData Sync

Blog post from CData

Post Details
Company
Date Published
Author
Jerod Johnson
Word Count
902
Company Posts That Month
2
Language
English
Hacker News Points
-
Post removed?
No
Summary

Google BigQuery is a popular data warehouse that enables businesses to operate on massive scales by providing a scalable and serverless infrastructure for storing and analyzing large datasets. To replicate enterprise data into Google BigQuery using CData Sync, users need to create a project in the Google Cloud Platform and a dataset in their project, connect to Google BigQuery as a replication destination, and configure source connections for each data source they wish to replicate. With CData Sync, businesses can easily aggregate their data from various sources, such as payroll, accounting, marketing automation, and CRM systems, into a single repository like Google BigQuery, enabling cross-source analytics and business insights. The tool also supports more than 100 data sources, including every major database and data warehouse destination, and offers features like incremental data replication, customizable replication, and data transformation to simplify the process of aggregating enterprise data.

Trends Found in this Post
Trend Post Mentions Total Month Mentions Posts Companies MoM
Data Pipeline 2 26 14 10 -10%
Serverless 1 545 48 27 +23%
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