Seven essential database schema best practices
Your database schema is the foundation for everything you do with data. Learn our essential best practices in our complete guide.
Activate your data: How to get started with ThoughtSpot Sync
Every data team wants to make insights more actionable for frontline business users. The only question is how. You know they spend the majority of their time in business-critical tools like HubSpot, Slack, and Microsoft Teams. So why not bring the data-driven insights created in ThoughtSpot to the apps they use most? With ThoughtSpot Sync, you can. Starting today, ThoughtSpot customers will be able to send insights directly from ThoughtSpot to Google Sheets, Slack, and Microsoft Teams.
What's new in ThoughtSpot Analytics Cloud 8.7.0
Want to bring the data-driven insights created in ThoughtSpot to the apps your teams use most? With this month's release of ThoughtSpot Analytics Cloud 8.7.0.cl, we're launching ThoughtSpot Sync that lets you operationalize your insights by sending data directly to tools like Slack, Microsoft Teams, and Google Sheets. Watch this video to learn more about ThoughtSpot Sync, along with other new features like Liveboard tabs and threshold-based alerts in SpotIQ Monitor.
Integrating Segment and Anodot
Stream your segment events as metrics combined with other data sources into Anodot’s centralized analytics platform. Learn how to sync Anodot to your segment data in a few simple steps.
Where Is Your Customer Data Located?
Modern organizations have multiple touch points continuously collecting customer data. Data collection is essential for firms that use it for personalized marketing campaigns and improving customer experience. Analytics provided by this data help enterprises observe customer behavior and make critical business decisions. However, before firms can explore any use cases, it is crucial for them to recognize the data touch points where vital information is collected.
Building an Automated ML Pipeline with a Feature Store Using Iguazio & Snowflake
When operationalizing machine and deep learning, a production-first approach is essential for moving from research and development to scalable production pipelines in a much faster and more effective manner. Without the need to refactor code, add glue logic and spend significant efforts on data and ML engineering, more models will make it to production and with less issues like drift.
Governing data movement with the Fivetran Metadata API
Fivetran Metadata API enables the tracking of data “in-flight” from source to destination as it moves through Fivetran-managed pipelines — delivering full visibility of data movement across systems.
Built with BigQuery: Retailers drive profitable growth with SoundCommerce
As economic conditions change, retail brands’ reliance on ever-growing customer demand puts these companies at financial and even existential risk. Top-line revenue and active customer growth do not equal profitable growth.
Data Vault Techniques on Snowflake: Streams and Tasks on Views
Snowflake removes the need to perform maintenance tasks on your data platform and provides you with the freedom to choose your data model methodology for the cloud. When attempting to keep the cost of data processing low, both data volume and velocity can make things challenging.
SCIM (System for Cross-domain Identity Management)
The identity team at Cloudera has been working to add the System for Cross-domain Identity Management (SCIM) support to Cloudera Data Platform (CDP) and we’re happy to announce the general availability of SCIM on Azure Active Directory! In Part One we discussed: CDP SCIM Support for Active Directory, which discusses the core elements of CDP’s SCIM support for Azure AD.