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The Enterprise Data Cloud Hybrid, Multi, Open INTRODUCTION

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The Enterprise Data Cloud Hybrid, Multi, Open INTRODUCTION The Enterprise Data Cloud Hybrid, Multi, Open INTRODUCTION “Together, IBM and Cloudera offer a modern data platform with the governance and security to drive the future of AI and ML. Our solutions are optimized for the cloud, but we give our customers options to put their data where it works best for them—on-premises, or in public, private or hybrid. We provide the tools needed to better capture, store, explore and manage big data and offer packaging, licensing options to simplify the process and ensure future proofing of growing organizations.” © 2019 Cloudera, Inc. All rights reserved. 2 OUR JOURNEY September February April June August December 2016 2017 2017 2017 2017 2017 IBM Power Systems IBM Spectrum Scale HDP® delivered for HDP® and HDF certified BigSQL and DSX on HDF delivered for partnership certification Power Systems for Spectrum Scale HDP® Power Systems Announced Analytics partnership – Hadoop & Data Science © 2019 Cloudera, Inc. All rights reserved. 4 IBM & CLOUDERA ARE LEADERS IN THE OPEN SOURCE SPACE Build upon IBM’s comprehensive foundation of open technologies 85% of enterprises (> 10K) are engaged in open source programs Top Contributors in Data and Analytics Open >50% IBM revenue will beHortonworks from servers that run open source AI software Cloudera Source Red Hat Google Facebook WS O2 Microso ft Yahoo Adobe Amazon Apple 70% LinkedIn Pivotal of enterprise workloadsDatabricks access open source databases Intel Salesforce Twitter © 2019 Cloudera, Inc. All rights reserved. Uber Oracle 5 THE POWER OF ONE Edge to AI analytics, with IBM muscle Best-in-class 24x7 customer support Leader in Data Science Leading professional services and training Leader in on-premise and hybrid cloud solutions #1 Pure Open Source Hadoop Distribution OpenPOWER performance leadership 1300+ customers and 2100+ ecosystem partners Software defined storage with unmatched scalability Employs the original architects, developers and SQL engine for complex, analytical workloads operators of Hadoop from Yahoo! © 2019 Cloudera, Inc. All rights reserved. 6 WHY ARE WE DIFFERENT? Big data is a journey - rapid growth often leads to major cost, risk, skills and performance challenges IBM and Cloudera have a prescriptive approach • Control cost, no vendor lock-in: lay the foundation with a purely open source Hadoop distribution • Reduce up to 30% infrastructure cost: control cluster sprawl with more efficient infrastructure • Reduce up to 70% of DW cost: optimize data warehouses by shifting the right workloads to Hadoop • Reduce risk: establish and enforce the enterprise data governance and security policies in Hadoop • New revenue: explore new business models with machine learning at scale with Data Science projects © 2019 Cloudera, Inc. All rights reserved. 7 ENABLING THE AI LADDER AI Data Science – Deep Learning IBM PowerAI Use larger data sets and neural networks to unleash deep insight MACHINE Data Science – Machine IBM Watson Studio DSX LEARNING Learning Build accurate predictive models Leverage Data Lake ANALYTICS EDW Modernization – New Data HDF + Analytics IBM BigSQL Capture and analyze new streaming data Federate across EDW and Hadoop DATA EDW Optimization – Enterprise HDP Data Lake IBM Spectrum Scale / ESS Offload data and ETL to Hadoop © 2019 Cloudera, Inc. All rights reserved. 8 THE CASE FOR AN ENTERPRISE DATA CLOUD EVOLUTION OF ARCHITECTURE & TECHNOLOGY CLOUD COMPUTE KUBERNETES STREAMING EXPERIENCE & STORAGE & CONTAINERS & ML/AI Easy to use, Separation in public Adoption as standard Multi-function self-service, on- and private clouds for operating environment analytics for the demand, elastic, increased performance for flexibility and agility data-driven enterprise consumption © 2019 Cloudera, Inc. All rights reserved. 10 THE SOLUTION: ENTERPRISE DATA CLOUD Say “Yes” ANY CLOUD MULTI-FUNCTION SECURE & GOVERNED OPEN Multiple public clouds Streaming Data & metadata 100% Open source Hybrid cloud Data engineering Fine grained security Open data formats Private cloud Data warehousing Lineage and provenance Open storage & compute Machine learning & AI Data & workload Open APIs Data center migration Edge © 2019 Cloudera, Inc. All rights reserved. 11 INTRODUCING THE WORLD’S FIRST ENTERPRISE DATA CLOUD Management Unified Identity | Orchestration | Management | Operations CLOUDERA control plane Console DATA Data Flow & Data Data Operational Machine PLATFORM Analytic Streaming Engineering Warehouse Database Learning experiences Data Hub & Cloudera Runtime Data Catalog | Schema | Replication | Security | Governance anywhere Private Hybrid Edge Public Cloud Cloud Any Multi-Cloud Infrastructure © 2019 Cloudera, Inc. All rights reserved. 12 CDP — UNIQUE CAPABILITIES HYBRID PaaS SECURE BY UNIFIED OPEN DESIGN ANALYTICS • Single pane of glass control • Centrally controlled security • Cloud-native workloads • Architecture that enables across hybrid & multi-cloud and governance innovation at every layer • Real-time, batch, SQL • Separates data strategy • Automated data and app • Open source • Data science & engineering from infrastructure strategy security at all layers • Extensible APIs • Machine learning workflows • Fast, easy and secure data • Secure data lakes quickly • Choice and optionality & app mobility across clouds and easily, by default • Foundation for enterprise AI All delivered through an easy, elastic, self-service cloud experience © 2019 Cloudera, Inc. All rights reserved. 13 CONTACT Sales IBM/Cloudera EMEA BigSQL Offering Management team Peter Nikles: [email protected] Jessica Lee [email protected] Fernando Cortes: [email protected] Nagapriya Tirutani [email protected] Ignacio Cabrera: [email protected] Sales/Tech Sales IBM/Cloudera Global Support (Global) Jerry Green: [email protected] Michael Pintus [email protected] Matt Lanagan: [email protected] Brett Coffman: [email protected] Venkatesh Sellappa: [email protected] © Cloudera, Inc. All rights reserved. 14.
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