Remove Data Lakes Remove Data Pipeline Remove Webinar
article thumbnail

How does Tableau power Salesforce Genie Customer Data Cloud?

Tableau

Every company today is being asked to do more with less, and leaders need access to fresh, trusted KPIs and data-driven insights to manage their businesses, keep ahead of the competition, and provide unparalleled customer experiences. . But good data—and actionable insights—are hard to get. Optimize recruiting pipelines.

Tableau 98
article thumbnail

How does Tableau power Salesforce Genie Customer Data Cloud?

Tableau

Every company today is being asked to do more with less, and leaders need access to fresh, trusted KPIs and data-driven insights to manage their businesses, keep ahead of the competition, and provide unparalleled customer experiences. . But good data—and actionable insights—are hard to get. Optimize recruiting pipelines.

Tableau 98
professionals

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

What is Salesforce Data Cloud for Tableau?

Tableau

Every company today is being asked to do more with less, and leaders need access to fresh, trusted KPIs and data-driven insights to manage their businesses, keep ahead of the competition, and provide unparalleled customer experiences. But good data—and actionable insights—are hard to get. What is Salesforce Data Cloud for Tableau?

Tableau 55
article thumbnail

Data Governance for Dummies: Your Questions, Answered

Alation

Can you differentiate between governance of raw data and enhanced data (information)? It is not uncommon, particularly with data lakes, to have different data stores and degrees of transformation. This is the idea of having data at a raw, semi-transformed, and consumption-ready level. Where do you govern?

article thumbnail

Your Complete Roadmap to Become an Azure Data Scientist

Pickl AI

Storage Solutions: Secure and scalable storage options like Azure Blob Storage and Azure Data Lake Storage. Key features and benefits of Azure for Data Science include: Scalability: Easily scale resources up or down based on demand, ideal for handling large datasets and complex computations.

Azure 52