Advanced data cleansing techniques with Cloud Dataprep (Cloud Next '19)
Channel | Publish Date | Thumbnail & View Count | Download Video |
---|---|---|---|
Publish Date not found | 0 Views |
In this session, we'll take a deep dive into Trifacta's Cloud Dataprep and see how its advanced features handle the complex data manipulations customers need for common use cases like sales analytics and category management. Challenges include working with third-party data in disparate formats and standards that need to be assessed and transformed to combine into a single consistent view. After structuring and assessing data quality with Cloud Dataprep and fuzzy matching and unionizing the data, you need to pivot and aggregate the data into different logical time sessions to get meaningful insights and useful pattern trends. Based on this use case, we'll demonstrate Cloud Dataprep's advanced features to master data preparation and generate easy-to-manage, self-documented logic that can be scheduled with dynamic parameters for repeatable results.
Build with Google Cloud → https://bit.ly/2K8Pdnu
See more:
The next Data Analytics sessions in 2019 can be found here → https://bit.ly/Next19DataAnalytics
Next playlist “All Sessions 2019” → https://bit.ly/Next19AllSessions
Subscribe to the GCP channel → https://bit.ly/GCloudPlatform
Speakers: Cindy Sood, Sean Ma
Session ID: DA309
Product: BigQuery, Cloud for Marketing; Event: Google Cloud Next 2019; Topic: Publishing; Product: Cloud – Data Analytics – Dataprep; Full Name: Cindy Sood, Sean Ma;
Please take the opportunity to connect with your friends and family and share this video with them if you find it useful.