Data management may be the hardest part of making the transition to the cloud, but enterprises including Intuit and Macy’s have figured out how to do it right. So what do they know that you might not? Join Robin Schumacher, Chief Product Officer at DataStax as he explores best practices for defining and implementing data management strategies for the cloud. He outlines a four-step journey that will take you from your first deployment in the cloud through to a true intercloud implementation and walk through a real-world use case where a major retailer has evolved through the four phases over a period of four years and is now benefiting from a highly resilient multi-cloud deployment. View webinar: https://youtu.be/RrTxQ2BAxjg

1. Data Management for Hybrid and Multi-Cloud:
A Four-Step Journey
Robin Schumacher
SVP
1 © DataStax, All Rights Reserved.

2. Agenda
Welcome and Introduction
Hybrid / Multi-Cloud Concepts
4 Step Success Plan
Wrap Up
2

3. 3 © DataStax, All Rights Reserved.
Welcome and Introduction

4. 4 © DataStax, All Rights Reserved.
Introduction to DataStax
• Founded 2010
• Database software provider
• Open source company
• Leader in database market
– specifically with hybrid
and multi-cloud

5. Today
Cloud
Cloud/Hybrid Architecture
5 © DataStax, All Rights Reserved.
1970s
Mainframe
1990s
Client-Server

6. DataStax - Uniquely Suited for Cloud
6
Holy
$%^#&!!

7. 7 © DataStax, All Rights Reserved.
When DataStax?
Contextual
Available
Real Time
Distributed
Scalable

8. Our Foundation – Apache Cassandra
#1 NoSQL
database for scale,
uptime, and
performance
Only masterless
architecture
among leading
DBMS vendors
#1 Contributor (85-100%) to Apache Cassandra and related
open source projects and a significant contributor to Cassandra 4.0
The sole provider of open source Cassandra drivers
for all popular development languages
Developed and updated from the open source Cassandra project
Provides open source leadership in other database-related projects
(e.g. Apache TinkerPopTM, which powers all graph databases)
8 © DataStax, All Rights Reserved.

9. 9 © DataStax, All Rights Reserved.
No lock in or loss of application
work, security, or data if you
move back to open source.
Includes server, high-speed bulk
loader, drivers for all popular
development languages, and
Apache Kafka Connector
Compatible with
Open Source
DataStax Distribution of Apache Cassandra

10. DataStax Enterprise
or
10 © DataStax, All Rights Reserved.

11. DataStax Enterprise
11 © DataStax, All Rights Reserved.

12. Hybrid / Multi-Cloud Concepts

13. What is the Cloud?
Cloud computing refers to sharing resources, software, and information via the
Internet. Applications and information are stored on physical servers maintained
and controlled by a cloud computing provider.

14. Some Definitions
• Single cloud – using one cloud provider for an application development and/or
database management project.
• Multi-cloud - using more than one cloud provider for different application development
and/or database management projects.
• Inter-cloud - using more than one cloud provider for the same application development
and/or database management project.
• Hybrid-cloud - using existing datacenter infrastructure in conjunction with one or more
cloud providers for application development and/or database management projects.

15. Cloud Deployment Models
Application
Spanning
Lifecycle
Partitioning
Public Cloud
Dev/Test
Application
Partitioning
Public Cloud
App 1 (b)
Public Cloud
App 1

16. Cloud Deployment Models
Multi-Cloud
Public Cloud
(AWS)
Public Cloud
(Azure)
Inter-Cloud
Public Cloud
(AWS)
Public Cloud
(Azure)

17. 4 Steps to Success

18. Hybrid and Multi-Cloud Data Challenges
Costs
High costs of maintaining
legacy applications
Disruption due to transition to cloud
Additional skills required for new
technology adoption
Data Operations
Scalability
High Availability
Application Instability
Data Ownership
Vendor lock in
Creation of data silos
Ability to manage master
and transactional data

19. 19 © DataStax, All Rights Reserved.
Reality Check

20. 20 © DataStax, All Rights Reserved.
Further Reality Check
database
database

21. 4 Steps Overview
21
Opportunistic
1 432
Standardize Rationalize Optimize

22. Hybrid Cloud Journey
Low Cost
Slow Delivery
Opportunistic
1
Project
Line of
Business
Enterprise

23. Hybrid Cloud Tip
Choose your data foundation wisely

24. Hybrid Cloud Journey
Low Cost
Slow Delivery
Opportunistic
1 2
Rapid App
Dev
Data Silos
Standardize
Apps Reduce
Data
Source of Truth
Integrations
Process Streamline

25. Hybrid Cloud Tip
Micro-services architectures proving to be solid standard for hybrid-cloud.
Other considerations involve workloads and data flows.

26. Hybrid Cloud Journey
Low Cost
Slow Delivery
Opportunistic
1 32
Rapid App
Dev
Data Silos
Fewer Apps,
New Data
Value
Additional
Data Demands
Standardize Rationalize

27. Expected Benefits of Step 3
• Idea-to-Production speed increase
• Iterative delivery and learning
• Communications

28. Hybrid Cloud Tip
In order to ensure predictable cloud database costs, know your data
access patterns inside and out (or choose a vendor charges in a uniform
fashion).

29. Hybrid Cloud Journey
Low Cost
Slow Delivery
Opportunistic
1 432
Rapid App
Dev
Data Silos
Fewer Apps,
New Data
Value
Additional
Data Demands
Apps and Data
Agility
Innovation
Pace
Increases
Rewards increase as journey continues
Standardize Rationalize Optimize

30. Expected Benefits – Step 4
Technical and
Operational
Reduce complexity and cost
of infrastructure management
Increase efficiency of
IT Operations
Digital
Transformation
Applications Modernization
Agility, Experimentation
Business
and Economic
Time to Value
Superior Customer
Experience

31. Macy’s Digital Resurrection
“CEO Jeff Gennette said e-
commerce revenues grew at
a double-digit percentage
rate during the quarter, while
mobile remained Macy’s
fastest-growing channel for
sales growth.”

32. Macy’s Hybrid Cloud Success
Started with a
public cloud
and on prem
DSE for multi-
DC and
replication
Opportunistic
1 432
Microservices
Architecture
established
Prioritized
workloads for
peak season
scale
Peak:
Availability &
scale
Inventory and
catalog data
Now multi
cloud and on
prem
Faster app
delivery
cycles
Standardize Rationalize Optimize

33. Wrap Up

34. DataStax is Uniquely Suited for Cloud
34
>60%
¹ AWS - 51%; Azure - 25%; GCP - 12%; Other - 12%
Unique Masterless Architecture
No single point
of failure
Predictable
performance
with linear
scalability
Simplified cloud
deployment and
management -
push button multi-cloud, fully-
secured deployments and
upgrades!
Global data availability
for hybrid and multi-
cloud deployments
DataStax customer
deployments are in
the public cloud¹

35. The DataStax Difference
Supports On-Premise,
Hybrid Cloud and
Multi-Cloud configurations
Runs as a single cluster
across all public clouds
and on-premise
Automatically
Secured
Simultaneous software
deployments and upgrade
across all clouds

36. Key Benefits
No Vendor
Lock In
Enables leveraging
best of breed cloud
services without any
data limitation
Protects
Existing
Investments
Minimal disruption to
business through
transition to cloud
Flexibility
and Choice
Data portability and
distribution across
multiple clouds and
on premises
Continuous
Availability
Designed to
handle failure,
no matter how
catastrophic
Linear/
Frictionless
Scaling
Performance and
cost-efficiency
at scale
No Data
Silos
Seamless data
migration with
minimal code
change

37. 37

38. - © DataStax, All Rights Reserved.
QUESTIONS?