Nikita Shamgunov, MemSQL CTO talk from Gartner Data and Analytics Summit

1. Nikita Shamgunov, CTO and Co-founder of MemSQL
Gartner Data and Analytics Summit, March 2017
The Real-Time Chief Data Officer and the
Cloud-Forward Path to Predictive Analytics

2. Today’s Talk
The Real-Time Chief Data Officer
Introduction to MemSQL
Customer Use Cases
Demonstration: Historical, Real-Time, Predictive Analytics
Path to the Cloud

3. Real-time Chief Data Officer Objectives
▪ 360 view of the Business
• No silos
▪ Real-time access to ALL data
• Current and historical in one system
▪ Flexible and Strategic Deployment Model
• Built for the Cloud: Public, Private, As-A-Service
▪ Modern Data Architecture
• Scalable, Elastic

4. Introduction to MemSQL

5. The Real-Time Data Warehouse
For the front lines of your business

6. Real-Time Scalable Multi-Cloud
• Fast Ingest, Low Latency
Queries, High Concurrency
• Operational and Ad-Hoc
Analytics
• Powerful applications
• Petabyte scale
• Elastic
• Commodity hardware
• Low TCO
• Cloud Managed Service
• On-premises
• Multi-cloud deployments
• Enterprise-grade Security
A Modern Data Warehouse for the Enterprise Frontlines

7. Real-Time Data
Messaging and
Transforms
Historical Data
Bare Metal, Virtual Machines, Containers On-Premises, Cloud, As a Service
Business
Intelligence
Dashboards
Real-Time
Application
AnalyticsReal-Time Data
Warehouse
Live Data
Memory Optimized
Tables
Historical Data
Disk Optimized
Tables
Streaming Ingest
Real-Time
Data Pipelines

8. MemSQL Confidential8
Product or Services Scores
for Operational Data
Warehouse
Critical Capabilities for Data
Warehouse and Data
Management Solutions for
Analytics
Gartner, July 2016

9. How Did We Get Here

11. Trying to build
scale-out for
a traditional
product

13. Scale-out

14. ▪ Every piece of technology is scalable
▪ Analyzing data from hundreds of thousands of
machines
▪ Delivering immense value in real-time
• Real-time code deployment
• Detecting anomalies
• A/B testing results
▪ Fundamentally making the business faster by providing
data at your fingertips
An Insider’s View at Facebook

15. Imagine scaling a
database on industry
standard hardware.
Need 2x the
performance?
Add 2x the nodes.

16. Customer Use Cases

17. Real-time analytics transformed profitability analysis of customer logistics
from weekly to daily, and reduced latency from days to minutes
+
17

18. 18
BUSINESS BENEFITS
▪ New increased profitability customer logistics analysis from weekly to daily
▪ Reduce Latency from days to minutes
TECHNICAL BENEFITS
▪ Reduced 22 hour ETL to minutes
▪ Increased query response time by 80x

19. THE KELLOGG’S REAL-TIME ARCHITECTURE
19
22 hours to minutes
80x faster

20. Reducing delay in “freshness of data” from two hours to 10 minutes
+

21. BUSINESS BENEFITS
▪ Reach over 1.5 billion users across 100s of thousands of mobile apps
▪ Real-time optimization of advertising campaigns with improved post-install
engagements
▪ Net new personalized campaign performance reports for greater visibility
TECHNICAL BENEFITS
▪ 10x faster data refresh, from hours to minutes
▪ Ad-hoc queries on raw log-level data in seconds
▪ Real-time deduplication
▪ 1 TB/day ingest

22. THE MANAGE REAL-TIME ARCHITECTURE
22
REAL-TIME
ANALYTICSReal-Time
inputs
http://www.enterprisetech.com/2016/12/09/managing-30b-bid-requests/

23. DellEMC Adopts MemSQL for Customer Acquisition
Lifecycle Management
+

24. 24
BUSINESS BENEFITS
• Deliver real-time customer updates to DellEMC Sales Department
• Scale customer analytics to increase sales productivity
• Execute joins across multiple distributed data set
• Drive real-time personalization for operational efficiency
TECHNICAL BENEFITS
• Data loading
• Concurrency
• Sub-second response
• Distributed joins
Tables: Customer, Inventory and Contracts

25. DELLEMC REAL-TIME ARCHITECTURE
REAL-TIME
ANALYTICS

26. SECURE DATA LAKE ARCHITECTURE
26 http://itblog.emc.com/2016/05/03/simplifying-lives-emc-myservice360/

27. 27
The global leader in Content Delivery Network services, has deployed MemSQL
to enhance billing speed and efficiency for thousands of customers around the world
+

28. 28
BUSINESS BENEFITS
▪ Analyze Historical Against Live Data
▪ 30% Increased Forecast Accuracy
▪ Tighter Financial Reporting to Street
TECHNICAL BENEFITS
▪ Analyze Millions of rows / second
▪ Massive Concurrency
▪ 8 Million UPSERTS per second
▪ Process 1PB Data Per Day

29. THE AKAMAI REAL-TIME ARCHITECTURE
29
REAL-TIME
ANALYTICSCustomer
traffic
statistics

30. Demonstration

31. The Path to Real-Time Analytics
Real-Time Data Predictive AnalyticsHistorical Data

32. MemSQL Springs and Golf Resorts

33. Demo Details
1.Showcase fast queries on historical data with Tableau
1.Incorporate real-time data with MemSQL Pipelines
and exactly-once ingest from Kafka
1.Add predictive analytics with Sentiment Analysis
Historical Data
CREATE
PIPELINE
Real-Time
Data
Sentiment
Analysis

35. CDO Strategies
for Hybrid Cloud

36. Gartner Hybrid DBMS Cloud Scenarios
36
Dev Test
Disaster
recovery
Architecture Spanning Use Case Specific Multicloud
Prod
Source: Gartner (April 2016)

37. A Comprehensive Hybrid Cloud Approach
▪On-Premises deployments
•Any hardware, NUMA optimizations, vectorized processing
•Any Linux, VMs, Containers
•Robust security including Role-based Access Control (RBAC)
•Perfect for retiring legacy appliances
▪Any Cloud
•Any cloud service IaaS
•Simple `replicate database`
•Also available as a MemSQL Managed Service

38. Strategic Approach to Global Analytics
▪ Develop a center of excellence for real-time
infrastructure
• Include both real-time AND historical data
▪ Identify complements and replacements for traditional
technologies
• Data warehouse appliances, rigid systems
▪ Choose a straightforward path
• Faster historical insights, real-time data, predictive analytics

39. Please visit at the MemSQL booth

40. Q&A

41. www.memsql.com
Thank You