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Converging Analytics
and Transactions to
Unlock Real-Time
Opportunities
by Mike Boyarski
@boyarski
@memsql
2
People Respond to
Superior Customer Experience
3
Loyalty Revenue Insight
People Respond to
Superior Customer Experience
And that drives …
4
Real-Time
Applications are
shaping the
customer
experience
5
They optimize
the travel
experience
6
Enrich
shopping
experience
7
Improve the
banking
experience
8
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
9
What makes an application a
“Real-Time Application”?
10
Live Data Scalable
Intelligent Operational
11
Let’s review the impact of
Real-Time Applications on
existing data infrastructures
12
Real-Time Applications demand:
§ Live Data Architecture
§ Scalability
§ Transaction and Analytics Convergence
13
Live Data Architecture
14
Traditional Data Architecture
Data Warehouse
Application
Sources
Data
Integration
Operational Data
Store
Application
ETL
15
Traditional Data Architecture
Data Warehouse
Application
Sources
Data
Integration
Operational Data
Store
Application
ETL
Batch data
Integration
processes
!
16
Traditional Data Architecture
Data Warehouse
Application
Sources
Data
Integration
Operational Data
Store
Application
ETL
!
Multiple
specialized
databases
17
Traditional Data Architecture
Data Warehouse
Application
Sources
Data
Integration
Operational Data
Store
Application
ETL
!
Stale data due
to architecture
complexity
18
Live Data Architecture
Application
Sources
Data
Integration
Operational and
Analytic Data Store
Application
Change
Data
Capture
19
Live Data Architecture
Application
Sources
Data
Integration
Operational and
Analytic Data Store
Application
Change
Data
Capture
Real-Time Data
Synchronization
a
20
Live Data Architecture
Application
Sources
Data
Integration
Operational and
Analytic Data Store
Application
Change
Data
Capture
Converged Operational
Database and Data Warehouse
a
21
Live Data Architecture
Application
Sources
Data
Integration
Operational and
Analytic Data Store
Application
Change
Data
Capture
Accurate live data
view
a
22
Scalability
Planned Concurrency Large Scale Concurrency
Scale Up Scale Out
MemSQL scales across nodes
As a distributed database, MemSQL scales out
with industry standard servers or cloud instances
25
Transactions and Analytics
Convergence
26
We started with transactions
27
Then did analytics and transactions
28
So we separated the two
29
But this introduces complexity and drag
30
Convergence drives simplicity and speed
31
Operational
- ACID Transactions
- Fast data ingestion
- ANSI SQL
- Secure
Convergence drives simplicity and speed
32
Analytic
- Fast queries
- Large concurrency
- Petabyte scale
Convergence drives simplicity and speed
Operational
- ACID Transactions
- Fast data ingestion
- ANSI SQL
- Secure
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
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
35
Let’s Show a Demo!
36
Stop by the MemSQL
booth (#212), enter to win
a Google Home!

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