The document discusses current trends in real-time IT for retail and ecommerce, including the need for an omni-channel user experience and innovative technology to meet consumer expectations. It presents MemSQL as a solution for building real-time applications using a hybrid transaction/analytical processing architecture that allows for both SQL queries and analytics on live transaction data in a single database. The document demonstrates MemSQL's ability to analyze large volumes of retail data in real-time to gain insights.

1. 2015 Real-Time IT Trends in Retail and eCommerce
January 21st, 2015
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Jason Miller, Product Specialist
Conor Doherty, Technical Marketing

2. Agenda
▸Current Trends
▸Role of Innovative Technology
▸Live Demo on Retail Data
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3. 3
Consumer expectations
are at an all-time high

4. The omni-channel user experience demands a
different approach

5. How to use innovative technology to meet these
demands and build real-time applications to
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Identify more opportunities
Better understand
customer activity
Increase customer
value and satisfaction

6. Omni-Channel Goal: Seamless User Experience
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7. Specific Use Cases
Consumer alignment requires real-time analytics
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Advertising
Recommendations
Loyalty Programs Dynamic Pricing

8. Legacy Omni-Channel Architecture
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RDBMS
system of record
(structured)
Compute
Servers
ETL/batch
transformation
Key Value Store
caching/serving
data
Data Warehouse
reporting
Applications
mobile, web, in-store POS
BI/Analytics
Interface
NoSQL Store
system of record
(semi-structured)

9. MemSQL Omni-Channel Architecture
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Applications
mobile, web, in-store POS
BI/Analytics
Interface
• SQL queries
• Spark
• Data
visualization
• system of record (structured + semi-structured)
• data transformations
• serving layer
• reporting

10. Gartner Market Guide for In-Memory DBMS
“Rapid technological advances in in-memory computing have led to the
emergence of hybrid transaction/analytical processing (HTAP)…This
enables real-time analytics and situation awareness on "live"
transaction data as opposed to after-the-fact analysis on "stale data”
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Gartner Recommends:
▸Pilot the uses of HTAP architectures
▸Task a small team of engineers and
business users to investigate
▸Run a proof of concept
Download at: memsql.com/gartner

11. MemSQL Customers
▸Web Applications
• Performance monitoring
• Fraud detection
• Recommendations
▸Ad Tech
• Real-time bidding and attribution
• Overlap Analysis
▸Financial Services
• Position Analysis
• Risk management
▸Event and Machine Data
• Machine data collection

12. 12
Simple Fast Scalable
• Standard SQL
• Transactions and
analytics in one
database
• Compatible with
traditional systems
• Flexible integrations
(Hadoop, Spark)
• Extremely low-latency
queries
• Massive parallel
transaction capacity
• Lock-free, shared-
nothing architecture
• Scales out on
commodity hardware
• Deploys to hundreds
or thousands of
machines
• Truly linear scaling

13. The New Model: Centralized Data Hub for Business
Operations
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14. Conclusion
▸Ingested retail data – Tens of millions of records
▸Examine this data to answer complex business questions
▸Demonstrated the ability of MemSQL to analyze data in
real-time
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15. Thank you
▸Free 30-day trial of MemSQL
▸www.memsql.com/download
▸Jason Miller
▸miller@memsql.com
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