The document discusses the integration of real-time analytics and transactions to enhance customer experiences across various industries, such as finance, healthcare, and retail. It highlights the importance of live data architecture and the convergence of transactional and analytic processes to improve operational efficiency and reduce complexity. MemSQL is presented as a solution for deploying real-time applications at scale, offering flexibility across different infrastructures.

1. Converging Analytics
and Transactions to
Unlock Real-Time
Opportunities
by Mike Boyarski
@boyarski
@memsql

2. 2
People Respond to
Superior Customer Experience

3. 3
Loyalty Revenue Insight
People Respond to
Superior Customer Experience
And that drives …

4. 4
Real-Time
Applications are
shaping the
customer
experience

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They optimize
the travel
experience

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Enrich
shopping
experience

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Improve the
banking
experience

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And They Span Industries
Financial Services
- Fraud detection
- Portfolio management
- Risk management
Media and Communications
- Operational monitoring
- Advertising analytics
- Content personalization
Energy and Utilities
- Predictive maintenance
- Supply chain optimization
- Grid management
Healthcare
- Real-time patient care
- Prescription management
- Contract management

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What makes an application a
“Real-Time Application”?

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Live Data Scalable
Intelligent Operational

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Let’s review the impact of
Real-Time Applications on
existing data infrastructures

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Real-Time Applications demand:
§ Live Data Architecture
§ Scalability
§ Transaction and Analytics Convergence

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Live Data Architecture

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Traditional Data Architecture
Data Warehouse
Application
Sources
Data
Integration
Operational Data
Store
Application
ETL

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Traditional Data Architecture
Data Warehouse
Application
Sources
Data
Integration
Operational Data
Store
Application
ETL
Batch data
Integration
processes
!

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Traditional Data Architecture
Data Warehouse
Application
Sources
Data
Integration
Operational Data
Store
Application
ETL
!
Multiple
specialized
databases

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Traditional Data Architecture
Data Warehouse
Application
Sources
Data
Integration
Operational Data
Store
Application
ETL
!
Stale data due
to architecture
complexity

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Live Data Architecture
Application
Sources
Data
Integration
Operational and
Analytic Data Store
Application
Change
Data
Capture

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Live Data Architecture
Application
Sources
Data
Integration
Operational and
Analytic Data Store
Application
Change
Data
Capture
Real-Time Data
Synchronization
a

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Live Data Architecture
Application
Sources
Data
Integration
Operational and
Analytic Data Store
Application
Change
Data
Capture
Converged Operational
Database and Data Warehouse
a

21. 21
Live Data Architecture
Application
Sources
Data
Integration
Operational and
Analytic Data Store
Application
Change
Data
Capture
Accurate live data
view
a

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Scalability

23. Planned Concurrency Large Scale Concurrency
Scale Up Scale Out

24. MemSQL scales across nodes
As a distributed database, MemSQL scales out
with industry standard servers or cloud instances

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Transactions and Analytics
Convergence

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We started with transactions

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Then did analytics and transactions

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So we separated the two

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But this introduces complexity and drag

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Convergence drives simplicity and speed

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Operational
- ACID Transactions
- Fast data ingestion
- ANSI SQL
- Secure
Convergence drives simplicity and speed

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Analytic
- Fast queries
- Large concurrency
- Petabyte scale
Convergence drives simplicity and speed
Operational
- ACID Transactions
- Fast data ingestion
- ANSI SQL
- Secure

33. MemSQL Unified Architecture
33
Historical Data
Disk-optimized tables
with compression for
fast analytic queries
Live Data
Memory optimized tables
for analyzing real-time
events
Streaming Ingest
Real-time data pipelines
with exactly-once
semantics

34. MemSQL: The Database for Real-Time Applications
Converging Transactions and Analytics at Scale
34
Run
Anywhere
Any cloud, hybrid, or multicloud
On-premises
Low cost standard hardware
Scale
Transactions and Analytics
Petabyte scale
In-memory and disk-based
Unified mixed workload architecture
Power
Real-Time Applications
Fast ingestion and queries
Operational capabilities
Multi-model and data support

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Let’s Show a Demo!

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Stop by the MemSQL
booth (#212), enter to win
a Google Home!