Snowflake Summit '25

Join fellow data and AI pioneers this June at Snowflake's annual user conference in San Francisco.

AI DATA CLOUDFUNDAMENTALS

Learn about some of the most relevant topics around cloud data warehousing, AI, data lakes, data engineering and other areas of interest related to cloud data analytics, AI and cloud data platforms.

12 Results

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What is RBAC?

Delve into the essentials of RBAC, its various benefits and challenges, and learn about best practices for the implementation of RBAC models.

Understanding data lineage

Data lineage tracks the lifecycle of data, showing its journey from origin to final destination and detailing every transformation it undergoes.

Data lake vs. data warehouse vs. data mart

Explore the unique characteristics and differences between data lakes, data warehouses and data marts, and how they can complement each other within a modern data architecture.

What is sentiment analysis?

Sentiment analysis uses advanced techniques such as natural language processing (NLP) and machine learning algorithms to identify and categorize the emotional tone or sentiment of textual data.

MLOps

MLOps is a discipline that merges machine learning, software engineering and operational practices to streamline the deployment, monitoring and management of ML models in production.

AI for Business Intelligence

AI augments BI so any user can analyze data without needing to be proficient in writing SQL, the language of analytics and databases where data is stored.

Build RAG Apps

Discover how to build and deploy retrieval-augmented generation (RAG) apps for customer service, sales, marketing, and more using Snowflake's managed service.

Text and Document Processing

Learn how text and document processing tools help to easily analyze and gain insights from large volumes of text while saving time and resources.

What is MDM (Master Data Management)?

Master Data Management (MDM) is the foundation for creating a unified, accurate and comprehensive view of business information. It integrates data from both internal and external sources to establish a single source of truth.

Data integrity: Assessing the trustworthiness of your data

Data integrity validates that data is complete, correct and free from discrepancies or errors, which is crucial for informed business decisions and regulatory compliance.

What is Data Discovery?

Data discovery is the process of exploring and analyzing data to identify patterns, trends and opportunities that can drive smarter decisions.

What is Data Governance?

Data governance is a structured, organizational approach to managing, organizing & controlling data asset and includes compliance, stewardship & data security.