Accessibility Cloud Data Governance Webinar 
Cloudera
NOVEMBER 2, 2021
More use cases must be deployed to drive more insight and value; more data needs to be made available to more users. Data governance: three steps to success. It is safe to assume that businesses understand the importance of good data governance. Know what data you have. Better governance for better outcomes.
Mutt Data
APRIL 4, 2023
That said, instead of doing all the talking ourselves we thought you might want to hear from three leading industry experts with years of experience in Data Science, Engineering, Product Development, and Modern Data Stacks. So we set up a Webinar on Modern Tech Stacks with our friends at Product Minds and MODO. Wrapping Up ?
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Snowflake
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Google Analytics, a tool widely used by marketers, provides invaluable insights into website performance, user behavior and critical analytic data that helps marketers understand the customer journey and improve marketing ROI. Your data will now automatically refresh within your Snowflake account based on your preferred frequency.
Cloudera
OCTOBER 26, 2020
Just like when it comes to data access in business. Enabling data access for end-users so they can drive insight and business value is a typical area of compromise between IT and users. Data access can either be very secure but restrictive or very open yet risky. Quickly onboard data.
Snowflake
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Financial institutions also continue to be challenged to understand and identify PII to prevent inadvertently disclosing it, all while working to implement data governance policies, which result in better accountability and help identify risks while staying true to business initiatives.
Snowflake
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Data-as-a-product: By considering data resources through a product lens, teams can adopt practices centered around quality and ease of use. Self-service data platforms: Consistent domain-agnostic access and security measures create a structure that is both clearly defined and repeatable across platforms/domains.
Snowflake
JANUARY 23, 2024
This is a first-class, schema-level Snowflake object that provides a versioned container of ML model artifacts with full role-based access control (RBAC) support, and APIs for Python and SQL. The platform includes Snowpark ML to train machine learning models and run inference using Snowflake’s compute power.
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