April 2019 Summaries
4 posts from Fivetran
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Charles Wang's blog post discusses how to use BigQuery ML, Looker, and Fivetran to create simple predictive models without requiring advanced Python skills. The author explains the basic machine learning workflow and demonstrates a linear regression example using these tools. He also provides tips on selecting features, evaluating predictions, and interpreting model weights. The post concludes by mentioning other types of machine learning models that can be used with BigQuery ML and Looker, such as binary and multi-class logistic regression for supervised learning, and k-means clustering for unsupervised learning.
Apr 26, 2019
1,775 words in the original blog post.
The second annual company dude ranch trip at Fivetran involved a variety of adventurous activities such as horseback riding, cowboy lessons, hiking, and clay pigeon shooting. These activities allowed employees from different offices to bond and connect with each other. In addition to the recreational activities, there were also interactive workshops on Diversity & Inclusion, Leadership, and a survival competition. The trip also included team dinners and presentations where company updates, new product releases, and future goals were discussed. Fivetran is growing rapidly and maintains its core values while fostering an inclusive work environment through the launch of its first Employee Resource Group called Fivetran Women.
Apr 24, 2019
659 words in the original blog post.
Google Cloud's BigQuery users can now deploy Fivetran connectors for over 100 sources, including Salesforce, NetSuite and Google Analytics, without leaving the BigQuery environment. This integration simplifies data centralization by automating ETL construction, reducing setup and maintenance overhead, and ensuring continuous updates from multiple sources. The partnership between Fivetran and Google aims to provide robust, powerful, and easy-to-use cloud-first, fully managed data services. Users can start a 14-day trial for any Fivetran connector directly from the Google Cloud environment via BigQuery Data Transfer Service.
Apr 10, 2019
239 words in the original blog post.
Fivetran, an automated data pipeline provider, has partnered with Google Cloud to integrate its services with the new Data Transfer Service (DTS) for BigQuery. This partnership aims to simplify and accelerate data loading into BigQuery cloud warehouses, reducing time to insight. The integration will allow BigQuery users to minimize their setup and maintenance overhead when centralizing disparate data sources. Fivetran currently offers connectors for over 100 sources, including Salesforce, Marketo, NetSuite, and more. This collaboration is part of an effort to make cloud-first, fully managed data services easy to use while maintaining robustness and power.
Apr 10, 2019
622 words in the original blog post.