Should you be getting more from your data? If you’ve answered yes, perhaps you’re exploring how you can power new analytics and apps by streaming data from on-premises, open source, and hybrid cloud environments to your desired cloud endpoints (i.e.: Cosmos DB and/or Synapse) in real time. Getting your data from point A to point B can be expensive, time-consuming and complex. Fortunately, there’s a much easier way. Join Microsoft’s Kal Yella, Luciano Moreira, and Confluent’s Jacob Bogie to learn how you can connect multi-cloud and hybrid data to Azure cloud, reducing the complexity and cost associated with building real-time applications and analytics in the cloud.

1. Getting More From Your Data with Azure
Cosmos DB, Synapse, and Confluent
Cloud

2. Session Speakers
Sr. Product Marketing Manager – Partnerships
Peter Kennedy is a product marketer at Confluent
focused on accelerating partnerships and joint go-to-
market activities surrounding Confluent Cloud. Prior to
Confluent, he worked for Microsoft as a product and
partner marketer in the IoT portfolio.
Peter Kennedy, Confluent
Sr. Specialist, Azure Cosmos DB/NoSQL Global Black Belt
Luciano Moreira is an Azure Cosmos DB specialist at
Microsoft who helps companies tackle challenging data
scenarios, successfully building performance and resilient
solutions with Azure.
Luciano Moreira, Microsoft

3. Real-time
Data
A Sale
A shipment
A Trade
A Customer
Experience
Data streaming fuels modern data platforms
“We need to shift our thinking from everything
at rest, to everything in motion.” —
Real-Time Data Streaming
Rich Front-End Customer
Experiences
Real-Time Backend
Operations

4. Companies move to the cloud to build
modern data platforms
Agile Elastic Cost-saving
Fast
deployment
“More than 45% of IT spending on infrastructure and application software
will shift from on-prem to cloud by 2024.” – Gartner

5. These cloud-native data platforms power
business critical applications and analytics
5
Self-Managed Data Platforms
● Inflexible architecture makes it hard
to integrate with other systems
● Expensive in both upfront and
ongoing maintenance costs
● Slow to scale to meet evolving
demands
Cloud Data Platforms
● Lowers TCO by decoupling storage
from compute and leveraging
consumption- based pricing
● Increases flexibility and agility
● Simplifies operations with built into
auto-scaling and maintenance cycles

6. Integrating multiple systems to the cloud
is challenging
1. Wastes time and resources
Replacing or refactoring legacy data
systems across environments is not easy.
During which, data visibility can be limited.
1. Conceals blind spots
Getting actionable data from disparate data
sources is cumbersome. Most data insight
comes from nightly loads, merges, and
batch updates to create a complete view.
1. Creates data silos
Difficulties with integrating multiple data
silos and data formats.
On-Prem
Legacy Data
Store
Cloud
Cloud Data
Store
CRM
SaaS
App
Nightly
Reporting
Applications ETL App
Batch Jobs

7. Confluent helps you modernize and
integrate legacy with the cloud
1. Accelerate and simplify
migration
Link on-prem and cloud for easier data
movement across environments with real-
time event streaming to start migrating
immediately
1. Enhance data in real-time
Process data in flight with ksqlDB and use
our fully managed service to enrich or
transform your data before inserting into
the cloud database
1. Reduces TCO
Leverage fully managed services and
avoid prohibitive licensing costs from
existing solutions offered by legacy vendors
On-Prem Cloud
Legacy Data
Store
Cloud Data
Store
Apache
Kafka
120+ Pre-built
Connectors
Stream
Processing
with ksqlDB
CRM
SaaS App

8. The Confluent Advantage
Everywhere
Maintain flexibility with
deployments on Azure
and connect across
clouds and on-premises
that sync in real-time
Complete
Go beyond Kafka to
build real-time apps on
Azure quickly, reliably,
and securely
Cloud-Native
Apache Kafka re-
architected to harness
the power of the cloud
on Azure
Stream confidently on a highly available platform built by the world's utmost
Apache Kafka experts with built-in enterprise-ready security, compliance, and privacy controls

9. Confluent and Microsoft
Trusted by Azure, Partners, and Customers
Direct integration with
popular services
Unified operations
and billing experience
Deep relationship and
solution preference
Azure Native Services
3rd-Party ISV Services
Unified Billing Experience
Transact directly through Azure
Marketplace to remove friction and
burn down existing Azure commits
on your M.A.C.C. agreement.
Unified security & management
Trusted enterprise-grade security
with default encryption, private
networking, and single sign-on.
Process cybersecurity data from 120+
sources to increase enterprise
visibility.
Microsoft Strategic Alliance
Confluent & MSFT announced our
strategic partnership in January of 2021,
and due to unprecedented customer
demand we announced the expansion
and extension of our partnership in April
of 2022
Microsoft Preferred Solution
Confluent Cloud has been validated by a
team of Microsoft experts and has
proven to generate business impact,
technology transformation, and cross-
organizational improvements for its
customers.
Azure
Synapse
Azure Event
Hub
Azure
Cosmos DB
Azure Data
Lake Storage
Azure Blob
Storage
Azure
Functions

10. Understanding the architecture
Azure
On-Prem
Oracle HDFS Teradata,
Netezza
Mainframe
KSQL
Confluent Platform Confluent Cluster Linking
App
OSS Kafka Confluent Cluster Linking
Oracle HDFS Teradata,
Netezza
Mainframe
App
Cloud Apps
3rd party data
Additional Regions or Clouds
Confluent Cluster Linking
Cosmos DB
Azure
Functions

11. Azure Cosmos DB
Azure Cosmos DB is a fully
managed NoSQL database
service for modern app
development. Get
guaranteed single-digit
millisecond response times
and 99.999-percent
availability, backed by
SLAs, automatic and
instant scalability, and
open-source APIs for
MongoDB and Cassandra.

12. Azure Cosmos DB
● Unlimited scalability
● Global distribution
● Multi-master
● Low latency (< 10ms)
● Flexible schema
● Multiple SDKs
● Autoscale
● Serverless
● Consistency models

13. Azure Cosmos DB
Reference (2021)
Azure Cosmos DB Conf

14. Azure Cosmos DB use cases

15. Azure
Understanding the architecture:
Azure Cosmos DB
On-Prem
Oracle HDFS Teradata,
Netezza
Mainframe
KSQL
Confluent Platform Confluent Cluster Linking
App
OSS Kafka Confluent Cluster Linking
Oracle HDFS Teradata,
Netezza
Mainframe
App
Cloud Apps
3rd party data
Additional Regions or Clouds
Confluent Cluster Linking
Cosmos DB
Azure
Functions
Synapse
Cosmos DB
Cosmos DB
Global replication
Azure Functions +
Change Feed
Global
distribution
SDKs
Azure ML
Power BI

16. Data Science and Business Analytics
view data in very different ways
DATA SCI ENCE BUSI NESS ANALY TI CS
Big data
Experimentation
Fast exploration
Semi-structured
OR
Relational data
Proven security & privacy
Dependable performance
Structured
DATA WAREHOUSE
DATA L AKE

17. Ease of use
Fast expl or at i on
Qui ck to st ar t
Proven secur i t y
Ai r t i ght pr i vacy
Dependabl e per f or mance
Azure meets these challenges
with a single service to provide limitless analytics

18. The first unified, cloud
native platform for
converged analytics
Data
Warehouse
Data
Lake
Event
Brokers
Azure Synapse Link
Cosmos DB Dataverse

19. Near real-time
analytics
No managed ETL
Built for convergence
Azure Synapse Link

20. Azure Cosmos DB
Auto-Sync
Transactional Store
Row store optimized for
transactional reads and writes
Analytical Store
Column store optimized
for analytical queries
Operational
Data Container
Synapse Link
Cloud-Native HTAP
SQL
Azure Synapse Analytics
Reduce architectural complexity
with cloud-native HTAP

21. Azure
Understanding the architecture:
Azure Cosmos DB & Synapse
On-Prem
Oracle HDFS Teradata,
Netezza
Mainframe
KSQL
Confluent Platform Confluent Cluster Linking
App
OSS Kafka Confluent Cluster Linking
Oracle HDFS Teradata,
Netezza
Mainframe
App
Cloud Apps
3rd party data
Additional Regions or Clouds
Confluent Cluster Linking
Cosmos DB
Azure
Functions
Synapse
Cosmos DB
Cosmos DB
Global replication
Azure Functions +
Change Feed
Global
distribution
SDKs
Power BI
Azure ML

22. Next steps
Get started
Try Azure for free
azure.microsoft.com/en-us/free/
Visit the Microsoft booth
Microsoft
Get started
Try Confluent for free with $400
in free credits
confluent.io/confluent-cloud
Visit the Confluent booth
Confluent