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How to Leverage the Cloud for Business Solutions | Strata Data Conference London 2017


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IT budgets are shrinking, and the move to next-generation technologies is upon us. The cloud is an option for nearly every company, but just because it is an option doesn’t mean it is always the right solution for every problem.

Most cloud providers would prefer that every customer be tightly coupled with their proprietary services and APIs to create lock-in with that cloud provider. The savvy customer will leverage the cloud as infrastructure and stay loosely bound to a cloud provider. This creates an opportunity for the customer to execute a multicloud strategy or even a hybrid on-premises and cloud solution.

Jim Scott explores different use cases that may be best run in the cloud versus on-premises, points out opportunities to optimize cost and operational benefits, and explains how to get the data moved between locations. Along the way, Jim discusses security, backups, event streaming, databases, replication, and snapshots across a variety of use cases that run most businesses today.

Published in: Data & Analytics
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How to Leverage the Cloud for Business Solutions | Strata Data Conference London 2017

  1. 1. © 2017 MapR TechnologiesMapR Confidential 1 How to Leverage the Cloud for Business Solutions Jim Scott @kingmesal
  2. 2. © 2017 MapR TechnologiesMapR Confidential 2 Data is at the Core of Business Transformation 1980s Now Early databases Enterprise applications The Internet Digital Transformation
  3. 3. © 2017 MapR TechnologiesMapR Confidential 3 Data Drives Market Disruption
  4. 4. © 2017 MapR TechnologiesMapR Confidential 4 Market Disruptors Use Data To Impact Business Outcomes in Real-Time Real-time operational impact Higher customer engagement and lower acquisition cost Eliminate cost, waste, time delay Continuous insight analysis and application
  5. 5. © 2017 MapR TechnologiesMapR Confidential 5 Industry Leaders Are Investing in Disruptive Technology Now Legacy technology investmentNext-Gen technology investment (80,000) (40,000) - 40,000 80,000 120,000 2013 2014 2015 2016 2017 2018 2019 2020 $ (millions) Investment in Next-Gen vs. Legacy Technologies for Data Total $ growth of IT market Innovating and reducing costs at the same time 90% of data is on next-gen technology in just four years Source: IDC, Gartner; Analysis & Estimates: MapR Next-gen consists of cloud, big data, software and hardware related expenses
  6. 6. © 2017 MapR TechnologiesMapR Confidential 6 MapR Pressure to deal with Volume, variety, velocity of new data Customers Pressure to deliver more to customer base Pressure to figure out the cloud and containers On prem AzureAWS Your partner’s systems Your legacy Business systems Pressure to reduce cost of legacy
  7. 7. © 2017 MapR TechnologiesMapR Confidential 7 Time to pause for a moment...
  8. 8. © 2017 MapR TechnologiesMapR Confidential 8 Cloud and Container Terminology • Data Gravity – Data ingress and egress • Cloud Neutrality – Freedom of choice – Prevent vendor lock-in • Container Image and Repository Other terms that I can explain ???
  9. 9. © 2017 MapR TechnologiesMapR Confidential 9 Anything Can Fail! Prepare for the worst, hope for the best…
  10. 10. © 2017 MapR TechnologiesMapR Confidential 10 Customer 360 Website User Profiles Click Stream Activity Stream Website User Profiles Click Stream Activity Stream Amazon Google Cloud On-Prem User Profiles Click Stream Activity Stream Salesforce
  11. 11. © 2017 MapR TechnologiesMapR Confidential 11 Hadoop & Spark Cluster Document DB Classic Data Warehouse NoSQL Application Server Message Middleware Search ServerIts not the circles, It’s the lines that are hard Expensive to Stitch | Fragile | Limitations for Speed, Scale, Reliability Cloud Processing Alone Does not Solve the Crisis of Complexity
  12. 12. © 2017 MapR TechnologiesMapR Confidential 12 Putting It In One Distribution Does Not Converge Anything!
  13. 13. © 2017 MapR TechnologiesMapR Confidential 13 Global Cloud Processing Requirements Global single namespace Omni-directional replication Location awareness Strong consistency by default Continuous, Coordinated, Data flows
  14. 14. © 2017 MapR TechnologiesMapR Confidential 14 Source: 2016 Docker Survey Clouds And Containers
  15. 15. © 2017 MapR TechnologiesMapR Confidential 15 Challenge with Containers • Organizations using containers to improve resource utilization, increase developer efficiency, deploy microservices • Most of containerized applications today are stateless – If destroyed and re-deployed, no data is lost and no services are disrupted (ex: simple web front-ends) – Sharing state across many nodes is difficult and/or cost-prohibitive • Container environments don’t provide the reliable storage needed to support stateful applications
  16. 16. © 2017 MapR TechnologiesMapR Confidential 16 New Product MapR Announces the Converged Data Platform for Docker Supports containerization of existing and new applications by providing containers with persistent data access from anywhere
  17. 17. © 2017 MapR TechnologiesMapR Confidential 17 MapR Expands and Simplifies Container Usage Flexible Hybrid/Multi Cloud Infrastructure Shared Data Services Per-tenant Processing & Microservices Converged App Containers Enterprise Apps Data Center
  18. 18. © 2017 MapR TechnologiesMapR Confidential 18 MapR Data Services for Containers • Pre-built, certified container image for connecting to MapR services • Secure authentication at container level, secure connection • High performance • Extensible support for application layers • Available in Docker Hub, Dockerfile for customizability MapR Persistent Application Client Container (PACC) MapR POSIX Client for Containers MapR Converged Client for Containers Space for Customer Application
  19. 19. © 2017 MapR TechnologiesMapR Confidential 19 MapR Lets Enterprises Run Existing Apps in Containers Solution: MapR PACC allows existing applications to store state in MapR Converged Data Platform, ensuring resilience and availability across application and infrastructure failures. MapR Cluster Advantages • Stateful containers that can restart/move to any node or data center and access data • Shared data repository for multiple apps, operations & analytics • Decoupled scaling of compute & storage Use Cases • RDBMS Persistence (MySQL, Vertica, SAP) • Container Image Store (Docker Registry) • Rapid-ingest Logging (Impressions, Clicks) • Source Control Persistence (Git, Mercurial) • Image Store (Thumbnails, High Res) Container Environment (Mesos, Kubernetes, Docker Swarm) MariaDB Volume Logs Volume Reliable, Persistent, High-throughput Storage
  20. 20. © 2017 MapR TechnologiesMapR Confidential 20 Container Summary • Huge Opportunity – Organizations are rapidly moving to containerize • Huge Gap for stateful application support • MapR provides a high value, highly differentiated solution • Our tactical solution is part of a much larger strategic initiative
  21. 21. © 2017 MapR TechnologiesMapR Confidential 21 Converged Data Platform Analytical Applications Operational Applications Converged Applications Complete Access to Real-time and Historical Data in One Platform Developers Creating Database and Event Based Applications (Bottom Line Initiatives) (Top Line Initiatives) Analysts Creating BI Reports and KPIs on Data Warehouse Historical Data Current Data
  22. 22. © 2017 MapR TechnologiesMapR Confidential 22 Web-Scale Storage MapR-FS MapR-DB Real Time Unified Security Multi-tenancy Disaster Recovery Global NamespaceHigh Availability MapR Streams Event StreamingDatabase MapR Platform Services: Open API Architecture Assures interoperability, avoids lock-in HDFS API POSIX NFS SQL, HBase API JSON API Kafka API
  23. 23. © 2017 MapR TechnologiesMapR Confidential 23 Converged Application Benefits • Consumers scale horizontally with partitions • 1:1 mapping between consumer and partition • Enables predictable scaling as production needs grow • Data can be seamlessly replicated to another cluster • Enables HA with zero code changes • Data is indexed dynamically according to receivers, senders • Scales beyond the capabilities of Kafka • Snapshots can be taken to capture state • Enables faster testing and deployment of applications
  24. 24. © 2017 MapR TechnologiesMapR Confidential 24 Reduce costs to improve efficiency Extend capabilities to grow revenues Innovate for disruptive advantage Put the Power of MapR to Work for Your Business Wherever you are on your big data journey
  25. 25. © 2017 MapR TechnologiesMapR Confidential 25 Converge, Transform and Grow with MapR Innovate for Growth Realize Cost Savings
  26. 26. © 2017 MapR TechnologiesMapR Confidential 26 Q&A ENGAGE WITH US