BigQuery offers extensions to SQL to support machine learning. In this video, we'll look at what Google has done in terms of machine learning around enterprise data.
- [Instructor] Another set … of interesting features for BigQuery … is the extensions to SQL to support machine learning. … So as of this recording, … the functionality is in beta … and it supports linear regression, … binary logistic regression, … and multi-class logistic regression for classification. … Now, last week at GCP Next, … Google announced that they would be extending … the BigQuery ML set of libraries to include k-means … and to include support for importing TensorFlow DNN models. … So please consult the documentation. … When you actually check out this feature, … there'll probably be even more types of models available. … So why this is so exciting in a data warehousing scenario, … is previously data had to be moved out of a data warehouse … in order for data scientists to work with machine learning, … and the languages they used … were generally specific to their background, … oftentimes the R language, or maybe some Python extensions, … or some other type of data science language. …
- Enterprise concerns
- Enterprise scenarios
- Setting up your organization’s account
- Managing billing
- Enterprise compute services
- Enterprise storage and database services
- Enterprise data pipelines
- GCP developer and DevOps tools
Skill Level Intermediate
Work with cloud services1m 13s
1. GCP for the Enterprise
2. Enterprise Setup and Security
3. Enterprise Compute
4. Enterprise Storage and Database
5. Enterprise Data Pipelines
6. Dev and DevOps Tools
- Mark as unwatched
- Mark all as unwatched
Are you sure you want to mark all the videos in this course as unwatched?
This will not affect your course history, your reports, or your certificates of completion for this course.Cancel
Take notes with your new membership!
Type in the entry box, then click Enter to save your note.
1:30Press on any video thumbnail to jump immediately to the timecode shown.
Notes are saved with you account but can also be exported as plain text, MS Word, PDF, Google Doc, or Evernote.