Demystifying Cloud Data Warehousing - NB SAP HANA Cloud Platform Azure Data Warehouse Vertica DashDB (IBM) Teradata Google Big Query Snowflake % t-% On-e-% % e % 10% Score “You can

1© 2017 Snowflake Computing Inc. All Rights Reserved.

Y O U R D A T A , N O L I M I T S

Nicolas BaretDirector of Pre-Sales EMEA @SnowflakeMatinale de la data, November 2017

Demystifying Cloud Data Warehousing


Introducing Snowflake


About Snowflake

Experienced, accomplished

leadership team

2012 Founded by

industry veterans with over 120

database patents

Vision: A world with

no limits on data

First datawarehouse

built for the cloud

Over 800 customers since GA


Snowflake: 1st Data Warehouse Built for the Cloud

SQL relational databaseOptimized storage & processing

Standard connectivity – BI, ETL, …

Data Warehousing…

Existing SQL skills and tools“Load and go” ease of use

Cloud-based elasticity to fit any scale

Data scientists

SQL users & tools

…for Everyone


Separation of Storage & ComputeSnowflake’s multi-cluster, shared data architecture

Centralized storage

Instant, automatic scalability & elasticity

ServiceComputeStorage


“We can now run an entire set of monthly reports that used to

take 2 - 3 days in just 45 minutes.”

Ken Wood, Data Team Manager

What customers like about Snowflake

200x

Performance Simplicity

“That we don’t need to do any configuration or tuning is

great: we can focus on analyzing data instead of

managing and tuning a data warehouse.”

Craig Lancaster, CTO

Concurrency

“Consistency of performance and concurrency has been a

huge win for us.”

Erika Bakse, BI Solution Architect

100% Cloud

Complete SQL Database

Zero Management

All of your Users

Pay only for what you use

Data warehouse built for the cloud

All of your Data


Top 5 key concepts about Snowflake


#5 - Standard SQL w/Analytic Functions

select Nation, Customer, Totalfrom (select

n.n_name Nation,c.c_name Customer,sum(o.o_totalprice) Total,rank() over (partition by n.n_nameorder by sum(o.o_totalprice) desc)

customer_rankfrom orders o,customer c,nation nwhere o.o_custkey = c.c_custkeyand c.c_nationkey = n.n_nationkeygroup by 1, 2)

where customer_rank <= 3order by 1, customer_rank

SQL

Complete SQL database• Data definition language (DDLs)• Query (SELECT)• Updates, inserts and deletes (DML)• Role based security• Multi-statement transactions


#4 - Connect w/JDBC & ODBC to the cloud

Data Sources

Custom & Packaged Applications

ODBC WEB UIJDBC

Interfaces

Java

>_

Scripting

Reporting & Analytics

Data Modeling, Management & Transformation


#3 - Support Multiple Workloads

Accelerate the data pipelineRun loading & analytics at any time, concurrently, to get data to users faster

Scale compute to support any workloadScale processing horsepower up and down on-the-fly, with zero downtime or disruption

Scale concurrency without performance impactMulti-cluster “virtual warehouse” architecture scales concurrent users & workloads without contention

Deliver faster analytics at any scale

Loading

Marketing

Finance


#2 - Secure by Design with Automatic Encryption of Data!

Embedded multi-factor authenticationFederated authentication

available

Certified against enterprise-class requirements HIPPA Certified!

PCI Certified!

All data encrypted, always, end-to-end

Encryption keys managed automatically

NEW: Tri-secret security

Role-based access control model

Granular privileges on all objects & actions

Authentication Access control Data encryption External validation


#1 - Automatic Query Optimization

Zero ManagementFully managed with no knobs or tuning required

No indexes, distribution keys, partitioning, vacuuming,…

Zero infrastructure costs

Zero admin costs


Top 5 Cool Things about Snowflake


#5 - Persistent Result Sets

• No setup• In Query History

• By Query ID• 24 Hours• No re-execution• No Cost for Compute


#4 - UNDROPUNDROP TABLE <table name>UNDROP SCHEMA <schema name>UNDROP DATABASE <db name>

Part of Time Travel feature: AWESOME!


#3 - Zero-Copy Clone

Instant copy of table, schema, or database:CREATE OR REPLACE TABLE MyTable_V2

CLONE MyTable;

With Time Travel:CREATE SCHEMA mytestschema_clone_restoreCLONE testschema

BEFORE (TIMESTAMP =>TO_TIMESTAMP(40*365*86400));

PROD

PUBLIC

Table A Table B

Table C

DEV

PUBLIC

Table A Table B

Table C

PUBLIC

Table A Table B

Table C

INT


#2 - JSON Support with SQL

Apple 101.12 250 FIH-2316

Pear 56.22 202 IHO-6912

Orange 98.21 600 WHQ-6090

Structured data (e.g. CSV)

Semi-structured data(e.g. JSON, Avro, XML)

{ "firstName": "John", "lastName": "Smith", "height_cm": 167.64, "address": {

"streetAddress": "21 2nd Street", "city": "New York", "state": "NY","postalCode": "10021-3100"

}, "phoneNumbers": [

{ "type": "home", "number": "212 555-1234" }, { "type": "office", "number": "646 555-4567" }

] }

Optimized storageFlexible schema - Native

Relational processing

select v:lastName::string as last_namefrom json_demo;

All Your Data!


#1 - Data Sharing (The Data “Sharehouse”)

Data Consumers

Data Providers

No data movementShare with unlimited

number of consumers

Live accessData consumers

immediately see all updates

Ready to useConsumers can immediately

start querying


Too good to be true ?


What customers are doing with Snowflake

DATA MARTS & EXTRACTS

Market research company consolidated data marts to reduce costs and data silos

Gaming company replaced Hadoop + SQL database with

Snowflake

STAGING

DATA LAKE

DATA WAREHOUSE

Consumer retailer modernizing DW by

replacing legacy appliance with

Snowflake

Mobile analytics company shares live

data with clients

REPORTING, ANALYTICS & APPLICATIONS

DATA SOURCES


Delivering compelling results

Simpler data pipelineReplace noSQL database with Snowflake for storing & transforming JSON event data

noSQL data base: 8 hours to prepare data

Snowflake: 1.5 minutes

Data warehouse appliance: > $5M to expand

Snowflake: added 2 new workloads for $50K

Significantly lower costImproved performance while adding new workloads - at a fraction of the cost

Data warehouse appliance: 20+ hours

Snowflake: 45 minutes

Faster analyticsReplace on-premise data warehouse with Snowflake for analytics workload


Ranked #1 Cloud Data Warehouse!“Snowflake Hits All the Marks” – Gigaom

4,85

4,50

4,45

3,75

3,75

3,35

3,20

3,15

2,60

Cloud Analytics Database

Distruption Vectors

AWS Redshift

Oracle Database Exdata Cloud Service

SAP HANA Cloud Platform

Azure Data Warehouse

Vertica

DashDB (IBM)

Teradata

Google Big Query

Snowflake

Robu

stne

ss o

f SQ

L 15%

Built

-in O

ptim

izatio

n 15

%

On-

the-

fly E

lastic

ity 2

5%

Dyna

mic

Envir

onm

ent

Adap

tion

20%

Sepa

ratio

n of

Com

pute

fro

m st

orag

e 15

%

Supp

ort f

or D

ivers

e da

ta

10%

Score

“You can tell the data warehouse pedigree from the development… With superior performance and the most hands-off model of ownership, Snowflake is the epitome of data warehouse as a service. The model, cost, featuresand scalability have already caused some to postpone Hadoop adoption.”

William McKnight

GigaomDisruption Vectors

Gigaom Analyst Report: Sector Roadmap: Cloud Analytic Databases 2017

Read the full report on snowflake.net


YOUR DATA, NO L IMITS

Thank You!

Documents

Demystifying Cloud Data Warehousing - NB SAP HANA Cloud Platform Azure Data Warehouse Vertica DashDB (IBM) Teradata Google Big Query Snowflake % t-% On-e-% % e % 10% Score “You can