The Real-Time CDO and the Cloud-Forward Path to Predictive Analytics
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Nikita Shamgunov presented on the Real-Time Chief Data Officer and the cloud-forward path to predictive analytics. He discussed how MemSQL provides a modern data architecture that enables real-time access to all data, flexible deployments across public/private clouds, and a 360 view of the business without data silos. He showcased several customer use cases that demonstrated transforming analytics from weekly to daily using MemSQL and reducing latency from days to minutes. Finally, he proposed strategies for building a hybrid cloud approach and real-time analytics infrastructure to gain faster historical insights and predictive capabilities.
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The Real-Time CDO and the Cloud-Forward Path to Predictive Analytics
- 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. Todayโs 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 โช 360 view of the Business โข No silos โช Real-time access to ALL data โข Current and historical in one system โช Flexible and Strategic Deployment Model โข Built for the Cloud: Public, Private, As-A-Service โช Modern Data Architecture โข Scalable, Elastic
- 5. The Real-Time Data Warehouse For the front lines of your business
- 6. Real-Time Scalable Multi-Cloud โข Fast Ingest, Low Latency Queries, High Concurrency โข Operational and Ad-Hoc Analytics โข Powerful applications โข Petabyte scale โข Elastic โข Commodity hardware โข Low TCO โข Cloud Managed Service โข On-premises โข Multi-cloud deployments โข 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. โช Every piece of technology is scalable โช Analyzing data from hundreds of thousands of machines โช Delivering immense value in real-time โข Real-time code deployment โข Detecting anomalies โข A/B testing results โช Fundamentally making the business faster by providing data at your fingertips An Insiderโs View at Facebook
- 15. Imagine scaling a database on industry standard hardware. Need 2x the performance? Add 2x the nodes.
- 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 โช New increased profitability customer logistics analysis from weekly to daily โช Reduce Latency from days to minutes TECHNICAL BENEFITS โช Reduced 22 hour ETL to minutes โช Increased query response time by 80x
- 19. THE KELLOGGโS REAL-TIME ARCHITECTURE 19 22 hours to minutes 80x faster
- 20. Reducing delay in โfreshness of dataโ from two hours to 10 minutes +
- 21. BUSINESS BENEFITS โช Reach over 1.5 billion users across 100s of thousands of mobile apps โช Real-time optimization of advertising campaigns with improved post-install engagements โช Net new personalized campaign performance reports for greater visibility TECHNICAL BENEFITS โช 10x faster data refresh, from hours to minutes โช Ad-hoc queries on raw log-level data in seconds โช Real-time deduplication โช 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 โข Deliver real-time customer updates to DellEMC Sales Department โข Scale customer analytics to increase sales productivity โข Execute joins across multiple distributed data set โข Drive real-time personalization for operational efficiency TECHNICAL BENEFITS โข Data loading โข Concurrency โข Sub-second response โข Distributed joins Tables: Customer, Inventory and Contracts
- 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 โช Analyze Historical Against Live Data โช 30% Increased Forecast Accuracy โช Tighter Financial Reporting to Street TECHNICAL BENEFITS โช Analyze Millions of rows / second โช Massive Concurrency โช 8 Million UPSERTS per second โช 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 โชOn-Premises deployments โขAny hardware, NUMA optimizations, vectorized processing โขAny Linux, VMs, Containers โขRobust security including Role-based Access Control (RBAC) โขPerfect for retiring legacy appliances โชAny Cloud โขAny cloud service IaaS โขSimple `replicate database` โขAlso available as a MemSQL Managed Service
- 38. Strategic Approach to Global Analytics โช Develop a center of excellence for real-time infrastructure โข Include both real-time AND historical data โช Identify complements and replacements for traditional technologies โข Data warehouse appliances, rigid systems โช Choose a straightforward path โข Faster historical insights, real-time data, predictive analytics
- 39. Please visit at the MemSQL booth
- 40. Q&A