Snowflake Ohio Valley User Group Meeting - June 2022

© 2022 Snowflake Inc. All Rights Reserved
OHIO VALLEY
USER GROUP
Snowflake Summit Announcements
June 2022

© 2022 Snowflake Inc. All Rights Reserved 2
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Agenda
Welcome Remarks
Snowflake Summit Announcements
Questions & Answers
Future Topics Poll
3

About the User Group
Get frequent updates on the latest Snowflake features and product roadmap from
subject matter experts.
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Sales Engineer
Snowflake
Josh Weyburne
Senior Sales Engineer
Snowflake
DJ Maley

WHAT’S NEW IN
SNOWFLAKE
JUNE 2022
Josh Weyburne & DJ Maley - Your Local Nerds

Other than statements of historical fact, all information contained in the presentations and accompanying oral commentary made available as part of this event (collectively, the
“Materials”), including statements regarding (i) Snowflake’s business strategy and plans, (ii) Snowflake’s new or enhanced products, services, and technology offerings, including
those that are under development, (iii) market size and growth, trends, and competitive considerations, and (iv) the integration, interoperability, and availability of our products
with and on third-party platforms, are forward-looking statements. These forward-looking statements are subject to a number of risks, uncertainties and assumptions, including
those described under the heading “Risk Factors” and elsewhere in the Quarterly Reports on Form 10-Q and Annual Reports on Form 10-K that Snowflake files with the
Securities and Exchange Commission. In light of these risks, uncertainties, and assumptions, the future events and trends discussed in the Materials may not occur, and actual
results could differ materially and adversely from those anticipated or implied in the forward-looking statements. As a result, you should not rely on any forwarding-looking
statements as predictions of future events.
Any future product or roadmap information (collectively, the “Roadmap”) is intended to outline general product direction; is not a commitment, promise, or legal obligation for
Snowflake to deliver any future products, features, or functionality; and is not intended to be, and shall not be deemed to be, incorporated into any contract. The actual timing
of any product, feature, or functionality that is ultimately made available may be different from what is presented in the Roadmap. The Roadmap information should not be used
when making a purchasing decision. Further, note that Snowflake has made no determination as to whether separate fees will be charged for any future products, features,
and/or functionality which may ultimately be made available.
The Materials may contain information provided by third-parties, including those participating in this event. Snowflake has not independently verified this information, and
usage of this information does not mean or imply that Snowflake has adopted this information as its own or independently verified its accuracy.
© 2022 Snowflake Inc. All rights reserved. Snowflake, the Snowflake logo, and all other Snowflake product, feature and service names mentioned in the Materials are registered
trademarks or trademarks of Snowflake Inc. in the United States and other countries. All other brand names or logos mentioned or used in the Materials are for identification
purposes only and may be the trademarks of their respective holder(s). Snowflake may not be associated with, or be sponsored or endorsed by, any such holder(s).
Safe Harbor and Disclaimers

Snowflake Innovation
DISRUPT APP
DEVELOPMENT
DISRUPT
COLLABORATION
DISRUPT
ANALYTICS
2014 2018 TODAY

Data Cloud Growth
April 2022
April 2020
Visualization based on actual Data Cloud sharing activity as of April 30,
2020
Visualization based on actual Data Cloud sharing activity as of April 30,
2022

Innovation Areas
ENTERPRISE DATA
FOUNDATION
BRING
DEVELOPMENT TO
DATA
PRODUCTIZE
DEVELOPMENT
CYBERSECURITY
NATIVE
APPLICATION
FRAMEWORK
UNISTORE

Snowflake Platform

INNOVATION AREA
ENTERPRISE DATA
FOUNDATION

ENTERPRISE DATA FOUNDATION
Enterprise Data Foundation
Bring together all data and all workloads while
maintaining speed and efficiency. And ensure a
seamless fully governed global experience across
clouds and regions.
● Performance & Geospatial:
○ 10% average faster
compute for AWS (in
progress)
○ 10% faster write-heavy
workloads (GA)
○ 5x faster searches on maps
(PuPr soon)
○ GEOMETRY support (PuPr
soon)
● Governance
○ Tag-based Masking (PuPr
soon)
○ Data Governance UI (PrPr
soon)
○ Column Lineage (PrPr soon)
Major New Capabilities:
● Data Access
○ External Tables for
On-Premises (PrPr soon)
○ Native Iceberg Tables in
Snowflake (PrPr soon)
● Cost Governance
○ Resource Groups &
Budgets (PrPr)
● Replication
○ Client Redirect (GA soon)
○ Pipeline Replication (PrPr)
○ Account Replication (PuPr soon)

10%
Platform Performance Innovations
Average faster compute on
AWS
Optimized Snowflake to take
advantage of new hardware
improvements resulting in
10%
Average faster performance
for write-heavy workloads
Optimized write-heavy
workloads doing hundreds of
DML statements per second
5x
Faster searches on maps
for location analytics
Added geospatial support* to
Search Optimization Service,
resulting in nearly
GA
PUBLIC
PRIVATE
*PUBLIC SOON

GEOMETRY Data Type Support
Describes objects on a Cartesian plane
Coordinates are unit agnostic
The shortest path between two points is a straight line
All measurements are calculated in units
Allows for analyzing data in very specific spatial contexts
GA
PUBLIC
PRIVATE
PUBLIC SOON

Tags and Masking Policies assigned and applied independently
TAG MASKING POLICY
Tagging & Masking in the Past
name phone
Jane Doe 333-555-1236
Michael Gaines 666-666-1357
Ann Marshall 555-555-1234
John Smith 123-555-1234
name phone
Ewan Skill 202-555-0198
Farrah Betteney 202-555-0118
Lynea Gladhill 202-555-0113
Iolande Ghidelli 202-555-0170
name phone
Dory Lias 924-108-6641
Susi Shellard 300-343-2006
Martin Bayless 492-459-2749
Tammy Sturton 419-057-9188
Customers Employees Partners

Mask columns automatically based on tags associated with them
MASKING POLICY
TAG
GA
PUBLIC
PRIVATE
PUBLIC SOON
Tag-Based Masking
name phone
Jane Doe 333-555-1236
Michael Gaines 666-666-1357
Ann Marshall 555-555-1234
John Smith 123-555-1234
name phone
Ewan Skill 202-555-0198
Farrah Betteney 202-555-0118
Lynea Gladhill 202-555-0113
Iolande Ghidelli 202-555-0170
name phone
Dory Lias 924-108-6641
Susi Shellard 300-343-2006
Martin Bayless 492-459-2749
Tammy Sturton 419-057-9188
Customers Employees Partners

Ensure data is protected with built-in reports for tags and data policies
PRIVATE SOON
GA
PUBLIC
PRIVATE
Data Governance UI in Snowsight
Auditing and reporting
sensitive data
Search and discover
objects based on tags

View and assign tags and masking policies for owned objects without SQL
Object Details
PRIVATE SOON
GA
PUBLIC
PRIVATE

PRIVATE SOON
GA
PUBLIC
PRIVATE
Discover sensitive
columns using their
lineage to sensitive tables
Orders Table
OrderID
CustomerID
OrderDate
OrderTotal
OrderCountry
EU_Orders Table
EU_OrderID
EU_CustomerID
Apply tags and policies
based on granular,
column-level lineage
INSERT
Column Lineage
1
2

Visibility
Understand, attribute, and
monitor spend
Control
Limit and control
spend
Optimization
Identify and optimize
inefficient spend
Cost Governance in Snowflake

GA
PUBLIC
PRIVATE
Pre-Built Usage Visualizations

ACCOUNT
Budget Visibility
Retail Budget
200/week
Auto Alert
Ops Budget
200/week
Auto Alert
Retail Resource Group Operations Resource Group 1 Operations Resource Group 2
Retail Raw
Table
Retail
Warehouse
Retail Report
Schema
...
Ops Delivery
Status Table
Ops Raw
Schema
Ops Reporting
Database
...
Ops Ingest Pipe
Ops Transform
Warehouse
Ops Temp
Database
BUDGETS
An amount and time period, hierarchical
Alert thresholds and notification settings
Can monitor all core compute usage
(warehouse, automatic clustering, materialized
views, search optimization, pipe, replication)
RESOURCE GROUPS
Group resources and associate with a budget
Can optionally set daily limits on serverless
services
(Automatic Clustering for PrPr)
GA
PUBLIC
PRIVATE

New Connection URL
Can be failed over across regions and clouds
Supports all clients
SnowSQL, Python, JDBC, ODBC, Go,
Node.js, .NET, Snowflake UI
Redirects instantly
Connections redirect within 30-45 seconds
Supports PrivateLink
- Private connections routed via customer’s DNS
- Customer creates & updates CNAME
BENEFITS
Redirect client connections to the region and cloud of your choice with a single server-side
command
Client Redirect
GA
PUBLIC
PRIVATE
GA SOON

WHAT
to replicate
WHERE
to replicate it
WHEN
to replicate
Account object replication
Point-in-time consistency
Centralized governance
Flexibility
Cost effective
Ease of use
BENEFITS
Requires Business Critical
Edition
Account Replication & Failover Groups
GA
PUBLIC
PRIVATE
PUBLIC SOON

New construct for sharing
AWS West
GCP Central
Data Product 1
Standard Edition feature
Multiple Shares + Databases
replicated as a unit
Point-in-time consistency
Convert existing databases,
shares to group-compatible
BENEFITS
Available in any edition, no failover
in replication groups.
Azure East
Replication Groups
GA
PUBLIC
PRIVATE
PUBLIC SOON

GA
PUBLIC
PRIVATE
Replay pipelines from last replication
point to fully recover data in
idempotent way (i.e. deduplicating
data)
Pipeline object replication
External stages
Storage integrations
Pipes
Streams (coming soon)
Tasks (coming soon)
Idemptent loads after failover
History of copy and Snowpipe loads is
replicated and prevents duplicate loads
BENEFITS
Pipeline Replication

Query S3-compatible storage in place, without
moving the data.
Read and write data with external stages.
Enables easy access to on-premises data in
customer-supplied storage.
Benefit from Snowflake’s cross-cloud platform
and elastic performance engine on-demand.
GA
PUBLIC
Expanding to On-Premises Storage
PRIVATE SOON
PRIVATE

PRIVATE SOON
GA
PUBLIC
PRIVATE
=
Full Platform
Snowflake platform features just
work (encryption, replication,
governance, compaction,
Marketplace, clustering, etc.)
1st
Class Table
Iceberg Tables offer the
same management, DML,
and CRUD as internal
tables with similar
performance
Interoperable
Iceberg Tables use Iceberg
metadata and Parquet file
data inside of customer
storage buckets
Iceberg Tables
New table type that combines the Snowflake platform with Apache Iceberg

INNOVATION AREA
BRING DEVELOPMENT
TO DATA

Bring Development To The Data
Simplify development for developers, data
scientists, and data engineers by expanding
data programmability and removing friction
from development workflows.
● Streaming Pipelines
○ Snowpipe Streaming
(PrPr)
○ Materialized Tables (Dev)
● Machine Learning
○ Large Memory Instances
(Dev)
○ SQL ML (PrPr)
● Python
○ Snowpark for Python (PuPr)
○ Unstructured Data Processing
with Python (PrPr soon)
○ Python Authoring (PrPr)
○ Streamlit Integration (Dev)

GA
PUBLIC
PRIVATE
● Serverless auto-ingestion
● Java client library and Kafka
Connectors
● Improved price-performance
● Ingestion framework for Powered
By & integration ecosystem
Snowpipe Streaming

GA
PUBLIC
PRIVATE
IN DEV
Materialized Tables
Automatic incremental processing
Automate incremental data refresh
Declarative pipelines for efficient
and easy programming
Data pipeline orchestration
Streams & Tasks Materialized Tables Materialized Views
Flexibility Simplicity

GA
PUBLIC
PRIVATE
Snowpark for Python
Familiar Programming
Constructs
Use familiar syntax with
DataFrame abstraction
Rich Ecosystems
Easy access to hundreds of
packages with automated
dependency management
Secure Processing
Build with confidence in a highly
secure, sandboxed environment

Unstructured Data + Snowpark for Python
Store & Access
Structured, semi-structured, or
unstructured data in internal or
external storage
Govern
Role-based access controls
Process
Process files natively in Java*
& Python** with Snowpark
Share
Securely share revocable
access in the Data Cloud
**PRIVATE SOON
GA
*PUBLIC
PRIVATE
Securely store, access, process, and share files natively with Snowflake

GA
PUBLIC
PRIVATE
1 Choose your language
2 Start building!
● Code autocomplete
● Syntax highlighting
Snowflake Worksheets For Python

Access
Structured, semi & unstructured in
Snowflake or object store with External Tables
Enrich
Secure Data Sharing &
Snowflake Marketplace
Secure & Govern
Anonymized views, Dynamic Data Masking,
Row/Column level policies, PII tag & more
PREPARE BUILD DEPLOY
Model Training, Tuning, Testing &
Validation
Use Your Language of Choice
Feature engineering with ANSI SQL and
Snowpark (Java, Scala & Python*)
Automate Pipelines
Streams & Tasks
Reproducibility without data leakage
Zero-Copy Clone
Data Pipeline Development
Real-time
API
Batch inference
with UDFs
External Functions
Dev tool of choice: +
Azure
Machine
Learning
Larger Memory Instances** +
Snowpark OSS Packages
& more
Rapid Experimentation
Adaptive Result Cache
DATA
COMPUTE
Model Inference
Model Monitoring
Python
Connector
GPU-based and distributed training
Built-in
models*
*Private preview
**Private preview soon
Machine Learning with Snowflake

GA
PUBLIC
Higher RAM per node
Multiple configurations and GPU
powered instances coming
PRIVATE
Large Memory Instances
For model training & feature engineering
IN DEV

Training Experience in Snowpark
Entirely on Snowflake
Access Data
From structured, semi-structured,
or unstructured Snowflake
sources
Train
Call ML framework’s model.fit() or
write your own training function
Save Trained Model
Into a Stage file for later use in
inference and for version
management

GA
PUBLIC
PRIVATE
ML for everyone
Use ML models on your tabular
data using familiar SQL syntax
Better & Faster Insights
Improve business decision quality
and speed with ML-powered
predictions
Scale with ease
Go from tens to millions of
predictions with nearly zero
operational overhead
SQL Machine Learning

Bring your data to life in minutes by
building an interactive app – all in Python
Get started today
● Install Streamlit
● Connect to Snowflake with
Snowflake’s Python connector
● Create!
Streamlit Open Source Python Library

GA
PUBLIC
PRIVATE
IN DEV
Native Streamlit integration in Snowflake
makes it easy to:
• Build apps in Python from
Snowflake worksheets
• Deploy and run them on Snowflake
• Securely collaborate with other
users
Native Streamlit Integration

INNOVATION AREA
PRODUCTIZE DEVELOPMENT

Productize Development
Accelerate path to distribute and monetize insights,
unlocking new collaboration
opportunities in the Data Cloud.
● Marketplace:
○ Access & Monetize Applications (PrPr),
functions, and data
○ Monetization (GA)
● Collaboration:
○ Global Data Clean Rooms
(PrPr)
○ Listing Discovery Controls
(PrPr)

GA
PUBLIC
PRIVATE
Row Access Policies | Stored Procedures | Query Constraints | Auditing | Native Apps
PARTY A
Data needs to stay
secret from Party B
PARTY B
Data needs to stay
secret from Party A
Global Data Clean Room
Simplified Packaging
Deploy across clouds and manage
changes with native apps.
Increased Governance
Define projection constraints to
protect sensitive data.
More Granular Visibility
Increase visibility into data clean
rooms with use case specific
auditing.

SHARE ACROSS YOUR
BUSINESS ECOSYSTEM
Live, ready-to-query data, services and apps cross-cloud and cross-region. No ETL.
DISCOVER AND MONETIZE
IN THE DATA CLOUD
SHARE WITH COMPANIES
NOT YET ON SNOWFLAKE
ANALYZE DATA
WITHOUT SHARING IT
MANAGED
ACCOUNT
YOUR
ACCOUNT
LISTINGS
Access
Discovery Audit
Data Services Apps
GOVERNANCE
METADATA
SHARE
Use Cases Pricing
Fulfillment
X-CLOUD/X-REGION
GA
PUBLIC
PRIVATE
Listing Discovery Controls
Facilitate global collaboration

GA
PUBLIC
PRIVATE
Partners & customers are developing
applications in the Data Cloud
Snowflake developed native connectors as
applications, now available in the Marketplace
Discover Applications via Snowflake Marketplace

GA
PUBLIC
PRIVATE
Accelerate Evaluations
Provide immediate and revocable
access to custom samples for POCs or
offer a self-service trial experience
Identify New Upsell Opps
Get visibility into how customers are
using your data with built-in telemetry
Easily Explore New Pricing Options
Introduce flexible consumption based pricing
options and let Snowflake take care of the
billing and collections
Snowflake Monetization
Streamline the buying experience

INNOVATION AREA
NATIVE APPLICATION
FRAMEWORK

GA
PUBLIC
PRIVATE
Distribute and Monetize on
Snowflake Marketplace
Build apps using Snowflake
functionalities
Deploy within Snowflake
customer’s accounts
Native Application Framework
Build, monetize, and deploy natively in the Data Cloud

Components of Native Application Framework
Private Preview
Compose application logic with Snowflake primitives
(stored procedures, UDFs, UDTFs, external functions)
Distribute application on Marketplace & leverage
in-platform monetization
Telemetry logs to support application
In Development
Streamlit integration to easily build interactive
interfaces
Additional telemetry capabilities including events &
alerts

NEW WORKLOAD
CYBERSECURITY

Snowflake has transformed the way we view
and address security risks. Our near
real-time risk reporting drives prioritization
and focus. You can’t argue with facts that are
backed by data.
MARLYS RODGERS
CISO, CSAA Insurance Group
“
“
Deployed at Leading Companies

Eliminate security data silos
by removing limits on
ingest and retention
Cost-effective ingestion and
retention
Single, hot tier for storage
Consumption-based pricing
Achieve automation
with powerful analytics
SQL and Python
Join datasets for analytics
Support for enterprise BI tools
Ease of use, delivered as-a-service
Gain the security
capabilities you need with
Snowflake Connected
Applications
Own your data
Unified data platform for multiple
use cases
Snowflake for Cybersecurity

Real-time
Detection
Threat
Hunting
Automation
Security
Metrics
Incident
Response
CONNECTED APP
Detect
Normalize
Enrich
Store Search
Data Collectors
Business
Data
Contextual
Data
Security
Data
DATA SOURCES
Alerts
Snowpipe
Snowflake as your Security Data Lake
Deploy multiple connected applications for various use cases

NEW WORKLOAD
UNISTORE

Single Dataset
Power the future of modern
development by immediately
driving analytics on transactional
data.
Transactional Workloads
Fast, single-row operations for
simple and streamlined enterprise
transactional app development
directly on Snowflake.
All in Snowflake
Simplify architectures, eliminate
data movement and have a unified
approach to data governance.
Unistore
A modern approach to working with transactional and analytical
data together in a single platform

Hybrid Tables
New, easy to use feature
Excellent performance for both operational
and analytical queries
Supports critical OLTP features including
unique keys, indexes, & referential integrity
constraints
Integrates seamlessly with existing Snowflake
tables
It just works! Simple to use, while masking
powerful functionality
GA
PUBLIC
PRIVATE

We look forward to seeing how Unistore will
enhance the ability of Adobe Campaign to
unlock even more possibilities for our
customers to do personalization at scale.
NICK HALL
Senior Director, Adobe Campaign &
Managed Cloud Services
“
“
Leading Companies in Preview

THANK YOU

CLOSING REMARKS

FUTURE
TOPICS POLL
Which of today's topics are you most interested in learning more
about during the next meeting?
➔ Enterprise Data Foundation (Performance, Governance,
Replication, Data Access)
➔ Bring Development To The Data (Streaming, Python, ML)
➔ Productize Development (Collaboration, Marketplace)
➔ Native Application Framework Workload
➔ Cybersecurity Workload
➔ Unistore Workload

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Snowflake Ohio Valley User Group Meeting - June 2022

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