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Putting Big Data and the Cloud in Context

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3 Things to Learn About:

1. The evolution of cloud and today’s modern data platforms that are changing IT
2. How companies are building data-driven applications that improve customer engagement,
speed product development, and reduce risk
3. Ways you can break through siloed cloud architectures and prepare for a hybrid future

Publicada em: Software
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Putting Big Data and the Cloud in Context

  1. 1. 1© Cloudera, Inc. All rights reserved. Putting big data and the cloud in context Doug Cutting | Chief Architect & creator of Apache Hadoop David Tishgart | Really not that impressive
  2. 2. 2© Cloudera, Inc. All rights reserved. Agenda • Why are companies moving to cloud • Why hybrid environments are increasingly popular • Best practices for cloud • A convo with Doug • Reimagining the enterprise data hub for cloud
  3. 3. 3© Cloudera, Inc. All rights reserved. Poll question one: What cloud infrastructure provider do you use today (check all that apply)? • Amazon Web Services • Microsoft Azure • Google Cloud Platform • IBM • Other • Undecided • No plans for cloud
  4. 4. 4© Cloudera, Inc. All rights reserved. Poll question two: What is most important to you in a cloud-based application? • Integrates with cloud object store • Can help lower TCO • Limitless scalability • Delivers self-service and agility • Data security • Auditing and lineage • Ease of deployment and use
  5. 5. 5© Cloudera, Inc. All rights reserved. Public Cloud Adoption is Surging
  6. 6. 6© Cloudera, Inc. All rights reserved. Companies are moving to the cloud Reduce on-premises footprint Increase agility & self service Lower TCO Innovate faster
  7. 7. 7© Cloudera, Inc. All rights reserved. Three applications share a common platform Process data at scale, develop & serve predictive models Data Engineering & Data Science Explore, analyze, and understand all your data Analytic Database Data-driven applications to deliver real-time insights Operational Database Multi-Storage, Multi-Environment
  8. 8. 8© Cloudera, Inc. All rights reserved. Most Enterprise Deployments are Hybrid Ingest from data sources Process and transform data Deliver insights Make business decisions
  9. 9. 9© Cloudera, Inc. All rights reserved. Most Enterprise Deployments are Hybrid Ingest from data sources Process and transform data Deliver insights Make business decisions
  10. 10. 10© Cloudera, Inc. All rights reserved. Most Enterprise Deployments are Hybrid Ingest from data sources Process and transform data Deliver insights Make business decisions
  11. 11. 11© Cloudera, Inc. All rights reserved. Most Enterprise Deployments are Hybrid Ingest from data sources Process and transform data Deliver insights Make business decisions
  12. 12. 12© Cloudera, Inc. All rights reserved. Benefits of Data Engineering with Cloudera Lower TCO and increased flexibility on a trusted enterprise data platform Increased Convenience On a Common PlatformLower cost Multi-cloud • Shop across providers: Amazon, Google, Microsoft Deliver On-Demand • Immediate access to large compute with fast cluster provisioning • Self-service for developers Optimize and Isolate • Tailor infrastructure for the job • Run different software versions • Enable more experimentation with less opportunity cost Build Complete Data Apps • Ingest, stream, process, explore analyze, model, and serve on the same platform • Shared data with object store integration • Cluster metadata persistence • Common compliance-ready security and governance • No vendor lock-in Manage Costs • Transience for dev/test, ETL, and data science • Usage-based pricing • Spot instance support
  13. 13. 13© Cloudera, Inc. All rights reserved. Add Use Cases, Analytics, and Data On-Demand • Avoid the IT backlog with instant access to all data • On-demand clusters query directly on shared object storage Predictable Results Whenever You Want • Consistent query performance, even during peak times • Multi-tenancy via isolated clusters on shared data Just-in-Time Resources • Real-time capacity for your needs, as they change • Elastically grow/shrink your cluster via decoupled architecture Contention-Free ETL • ETL anytime without impacting other workloads or risking SLAs • Separate ETL clusters as-needed on shared data Benefits of Cloudera’s Analytic Database ETL and BI/Analytics in the cloud
  14. 14. 14© Cloudera, Inc. All rights reserved. Operational Database in the Cloud Public Cloud Benefits Cost Considerations • Low-cost backup and disaster recovery • Development and testing environments easy to deploy and decommission Convenience Considerations • Elastic growth for tightly provisioned workloads makes expansion easy, and enables a lower-cost steady state • Fast and easy provisioning of additional clusters helps projects move quickly
  15. 15. 15© Cloudera, Inc. All rights reserved. Now let’s talk to Doug...
  16. 16. 16© Cloudera, Inc. All rights reserved. Five things about cloud 1. Hadoop and AWS are roughly the same age. Can you compare and contrast their journeys in the enterprise?
  17. 17. 17© Cloudera, Inc. All rights reserved. Five questions about cloud 1. Hadoop and AWS are roughly the same age. Can you compare and contrast their journeys in the enterprise? 2. What’s been the biggest shift you’ve seen in cloud adoption?
  18. 18. 18© Cloudera, Inc. All rights reserved. Five questions about cloud 1. Hadoop and AWS are roughly the same age. Can you compare and contrast their journeys in the enterprise? 2. What’s been the biggest shift you’ve seen in cloud adoption? 3. How is cloud changing the way we think about big data?
  19. 19. 19© Cloudera, Inc. All rights reserved. Five questions about cloud 1. Hadoop and AWS are roughly the same age. Can you compare and contrast their journeys in the enterprise? 2. What’s been the biggest shift you’ve seen in cloud adoption? 3. How is cloud changing the way we think about big data? 4. What most excites you about the future of big data and cloud?
  20. 20. 20© Cloudera, Inc. All rights reserved. Five questions about cloud 1. Hadoop and AWS are roughly the same age. Can you compare and contrast their journeys in the enterprise? 2. What’s been the biggest shift you’ve seen in cloud adoption? 3. How is cloud changing the way we think about big data? 4. What most excites you about the future of big data and cloud? 5. How can companies keep up with the pace of innovation?
  21. 21. 21© Cloudera, Inc. All rights reserved. An Enterprise Data Hub for the cloud Delivering convenience, low TCO on a common platform
  22. 22. 22© Cloudera, Inc. All rights reserved. Traditional on-prem workloads share a single cluster HDFS
  23. 23. 23© Cloudera, Inc. All rights reserved. Cloud can lead to separate specialized clusters S3 Azure Data Lake Google Storage*
  24. 24. 24© Cloudera, Inc. All rights reserved. Object Store Object Store Data Science Workbench Common Governance Common Security Common: Operations, Governance, Security, Schema, Catalog SQL WorkbenchPartner Ecosystem An Enterprise Data Hub reimagined in the cloud Common Operations
  25. 25. 25© Cloudera, Inc. All rights reserved. Providing a complete view of consumer watching and buying habits • Helps customers optimize their ad spend for greater campaign ROI • Improves processing performance as data volumes double • Boosts agility and flexibility and reduces risk with hybrid and multi-cloud strategy RETAIL, MEDIA » 360° CUSTOMER VIEW » OMNI-CHANNEL ANALYTICS » SCALABLE PROCESSING Nielsen
  26. 26. 26© Cloudera, Inc. All rights reserved. BUILT FOR THE ENTERPRISE SIMPLIFIED & OPTIMIZED OPEN ARCHITECTURE Why Cloudera in the cloud ● Portable for hybrid and multi-cloud ● Rich ISV partner ecosystem ● Open source, supported by community ● Low TCO on cloud- native infrastructure ● Elastic grow/shrink ● Cloud automation UNIFIED PLATFORM ● Minimize data silos ● simplify operations ● improve ease of development ● Security ● Availability ● Performance ● Governance
  27. 27. 27© Cloudera, Inc. All rights reserved. Get started Check out our cloud best practices guides and reference architectures Deploy and manage Cloudera Enterprise in the cloud environment of your choice Provision and deploy Cloudera Enterprise on the Azure Marketplace Visit us online Cloudera Director Azure Marketplace
  28. 28. 28© Cloudera, Inc. All rights reserved. Thank You
  29. 29. 29© Cloudera, Inc. All rights reserved. Customer Slides
  30. 30. 30© Cloudera, Inc. All rights reserved. Crunching 1,000+ Business Metrics per Customer with Sub-Second Responses • Enables granular targeting of customers • 50% reduction in marketing cost execution at one bank with focus on high potential customers • Stores and processes thousands of critical events at scale at a low cost • Provides flexibility, agility to support customer needs with Cloudera on Amazon Web Services and on premises CUSTOMER 360 FINANCIAL SERVICES » BEHAVIORAL ANALYTICS » PREDICTIVE ANALYTICS » SCALABLE PROCESSING
  31. 31. 31Cloudera Confidential Implementing Data Science Infrastructure Based on Open Source and Microsoft Technology • Improve traveler satisfaction and safety • Provide necessary fixes to prevent unplanned downtime for critical operational machines • Reduce downtime Capture, secure, and correlate sensor (IoT) data collected from escalators, elevators, and baggage carousels with Azure + Cloudera CUSTOMER 360 TRAVEL & TRANSPORTATION » IoT » PREDICTIVE MAINTENANCE » ADVANCED ANALYTICS

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