Gartner Data and Analytics Summit: Bringing Self-Service BI & SQL Analytics to a Hybrid Cloud World

2. 2© Cloudera, Inc. All rights reserved. What’s Driving Analytics to the Cloud? Big data deployments in cloud are accelerating: ● Increased Agility: End-user self-service ● Elasticity: Optimize infrastructure usage ● Executive Mandate: Minimize on-prem datacenter footprint ● Lower Overall TCO (workload dependent)

3. 3© Cloudera, Inc. All rights reserved. Analytic Database More data of all types is being tapped for analytics, across environments Self-Service BI & Data Open up new possibilities for real-time insights as data changes Real-Time Analysis BI & analytics are critical but only tell part of the story. Get more value by sharing data across workloads Converged Workloads

4. 4© Cloudera, Inc. All rights reserved. Key Applications EDW Optimization Data Preparation Self-Service BI & Exploration Use your EDW more efficiently by offloading workloads to Hadoop Fast, flexible ETL over large data volumes, so data is always ready for your business Fastest time-to-insights with a modern analytic database designed with Hadoop’s flexibility and agility

5. 5© Cloudera, Inc. All rights reserved. Key Benefits An analytic database designed for Hadoop High-Performance BI and SQL Analytics Flexibility for Data and Use Case Variety Cost-effective Scale for Today and Tomorrow Go Beyond SQL with an Open Architecture

7. 7© Cloudera, Inc. All rights reserved. Anatomy of an Analytic Database Cloudera Decoupled by Design Query Engine Storage Engine Catalog Query Engine (Impala) Catalog (HMS) Monolithic Analytic Database Modern Analytic Database Storage (Kudu) Storage (S3) Storage (HDFS)

8. 8© Cloudera, Inc. All rights reserved. Limited to SQL only • Maintain data copies for non-SQL Rigid Data Model • Tightly coupled storage and compute Static Sizing • Major maintenance to add capacity/nodes Poorly Designed for Cloud • No elasticity or integration with object storage Pain Points Traditional Monolithic Analytic Databases ∞ COMPUTE STORE

9. 9© Cloudera, Inc. All rights reserved. Benefits of Cloudera’s Modern Approach Cloud-Native & On-Premise Go Beyond SQL • Open Architecture: Open formats and open storage • Shared data across SQL and non-SQL workloads Data Flexibility • Faster, more agile data acquisition • Data portability: Open formats and open storage Cost-Effective Scalability • Elastic scale on-prem or in the cloud • Cloud-native pay-per-use and transience • Proven at big data scale Hybrid • Runs across multi-cloud & on-prem • Multi-storage over S3, HDFS, Kudu, Isilon, DSSD, etcShared Data

10. 10© Cloudera, Inc. All rights reserved. Most Enterprises Are or Will be Heterogeneous • 76% will embrace hybrid cloud (Gartner1) • 82% will have a multi-cloud strategy (RightScale2) • 50% will “repatriate” at least one public cloud workload back to private cloud or on-prem for cost reasons (4513) • 50% of Cloudera’s cloud customers run a hybrid environment 1Gartner, Market Trends: Cloud Adoption Trends Favor Public Cloud With a Hybrid Twist 2015 2 RightScale 2016 State of the Cloud Report 3 451 Research: AWS Lambda: new and exciting, old and rehashed, more vendor lock-in (or all the above)?, November 22, 2016 Why is this a critical strategy? Portability & Cost Functionality Data Gravity

11. 11© Cloudera, Inc. All rights reserved. Cost-Efficiencies & Flexibility in the Cloud Primary Analytic Database Patterns Only pay for what you need, when you need it ▪ Transient clusters ▪ Object storage centric ▪ Cloud-native deployment ETL Reduce Operating Costs New Insights, New Revenue BI/Analytics Explore and analyze all data, wherever it lives ▪ Long-running clusters ▪ Object storage or local storage ▪ Lift-and-shift deployment

12. 12© 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 With Additive Business Benefits in the Cloud

13. 13© Cloudera, Inc. All rights reserved. True Self-Service BI with Seamless Productivity • Automatic, always-on metadata management for context and stewardship at scale • Enterprise-wide consistency with partner integrations • Visibility into common workload patterns and data usage for proactive data modeling and optimizations • Usage-enriched discovery, recommendations, and intelligent query design assistance …and others Data Stewards Database Admins SQL Developers Analysts

14. 14© Cloudera, Inc. All rights reserved. Helping Companies with a Global Value Chain Save Millions • 360° view of supply chain process in seconds with data from suppliers, manufacturing, equipment, field service, IoT and repair • Improved product quality by identifying and addressing supply chain issues in near-real time • $15-$25 million savings annually for Siemens clients • Costs 90% less per TB than RDBMS; 75% less per TB than Netezza CUSTOMER 360

15. 15© 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 CUSTOMER 360

16. 16© Cloudera, Inc. All rights reserved. Measure user interaction across the ecosystem, help direct R&D and development spend • Virtuous cycle: Identify features that facilitate sharing of content that drive new customers • Real-time streaming and batch data from product logs, web analytics, channel data and ERP • Impala connects to third-party data wrangling and BI tools for fast reporting

17. 17© Cloudera, Inc. All rights reserved. Cloudera’s Analytic Database Identify, offload, & optimize workloads to Hadoop Navigator Optimizer Intelligent SQL editor Hue Audit, lineage, encryption, key management, & policy lifecycles Navigator Integration with the leading BI tools BI Partners Interactive query engine for BI & SQL analytics Impala Large-scale ETL & batch processing engine Hive-on- Spark Multi-Storage, Multi-Environment Data Storage for Fast & Changing Data Kudu

18. 18© Cloudera, Inc. All rights reserved. Process data, develop and serve predictive models. Data Science & Engineering Data-driven applications to deliver real-time insights. Operational Database One Enterprise Data Hub for Multiple Workloads Explore, analyze, and understand all your data. Analytic Database

19. 19© Cloudera, Inc. All rights reserved. Transform Your Business DATA ENGINEERING ANALYTIC DATABASE OPERATIONAL DATABASE MODERNIZE ARCHITECTURE DRIVE CUSTOMER INSIGHTS IMPROVE PRODUCTS & SERVICES EFFICIENCY LOWER BUSINESS RISK