Snowflake Online Training | Snowflake Training in India
                     MODERN DATA
WAREHOUSING
WITH SNOWFLAKE AI
Cloud data platforms • Intelligent analytics • Enterprise AI
+91-7032290546
Introduction to Modern Data Warehousing
Modern data warehouses bring information from many business systems into one 
trusted environment.
Cloud platforms make storage and computing resources easier to scale.
Teams use centralized data to report performance and support better decisions.
AI can help discover patterns, summarize information, and speed up analysis.
CORE  IDEA    Turn  diistriibuted  busiiness  data  iinto  useffull,,  governed  iinsiight..
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What Is Snowflake?
Snowflake is a cloud data platform for data warehousing, engineering, sharing, 
and analytics.
It supports structured, semi-structured, and unstructured data workloads.
Its platform runs on major cloud providers, including AWS, Microsoft Azure, and 
Google Cloud.
Organizations can use it to consolidate data and make it available to different 
teams.
WHY  IT  MATTERS    A  shared  pllatfform  can  reduce  data  siillos  and  siimplliiffy  anallytiics..
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Snowflake Architecture
Database storage: stores data in an optimized, compressed columnar format.
Query processing: virtual warehouses provide compute resources for workloads.
Cloud services: coordinate authentication, metadata, query optimization, and 
governance.
Storage and compute can scale independently to match changing demand.
THREE  LAYERS    Storage    •    Compute    •    Clloud  Serviices
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Key Features of Snowflake Data Warehousing
Elastic scalability: resize or add virtual warehouses as workloads change.
Secure data sharing: share selected data without creating separate copies for every 
consumer.
Time Travel: query or restore historical data within the configured retention period.
Zero-copy cloning: create quick, space-efficient clones for development and testing.
Governance and security: apply roles, policies, and encryption to protect data.
DESIGN  BENEFIT    Support  mulltiiplle  teams  and  worklloads  wiith  flflexiiblle  resource  management..
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Introduction to Snowflake AI
Snowflake brings AI and machine-learning capabilities closer to governed 
enterprise data.
Teams can build AI-powered applications without always moving data to another 
platform.
Generative AI can support summarization, extraction, question answering, and 
content generation.
Machine learning workflows can help predict outcomes and identify patterns.
PRACTICAL  GOAL    Make  enterpriise  data  easiier  to  expllore  and  act  on..
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Important Snowflake AI Features
Cortex AI: managed AI capabilities and functions for working with language and other 
data.
Cortex Analyst: lets users ask natural-language questions about structured business data.
Cortex Search: supports retrieval and search across enterprise content.
Cortex Agents: coordinates AI tools and data sources to complete multi-step tasks.
Snowflake ML: supports model development, training, and inference workflows.
Snowflake Intelligence: offers conversational ways to explore business information.
EXAMPLE    Ask  a  busiiness  questiion  iin  pllaiin  llanguage  and  expllore  the  data  behiind  the  answer..
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Real-World Applications of Snowflake AI
Retail: analyze demand, customer behavior, and product recommendations.
Healthcare: explore operational trends and support analysis of approved datasets.
Finance: identify unusual patterns and improve reporting workflows.
Education: study enrollment, engagement, and learning-performance trends.
E-commerce: segment customers and understand purchasing patterns.
USE  CASE    An  onlliine  retaiiller  can  anallyze  purchase  hiistory  to  iidentiiffy  products  customers  may  preffer..
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Contact
Snowflake
Address:- Flat no: 205, 2nd Floor,
• Nilgiri Block, Aditya Enclave,
• Ameerpet, Hyderabad-1 
• Ph. No: +91-7032290546 
• Visit: www.visualpath.in 
• E-Mail: [email protected]
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THANK YOU
                    Visit: www.visualpath.in
+91-7032290546