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.”

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

Top Contributors in Data and Analytics Open Source Build upon IBM’s comprehensive foundation of open technologies

IBM Intel Apple Uber Google WS O2 Yahoo Adobe Pivotal Twitter Oracle ClouderaRed Hat Microso ft Amazon LinkedIn Facebook Databricks Salesforce Hortonworks

of enterprises (> 10K) are engaged >50% revenue will be from servers that run 70% of enterprise workloads access 85% in open source programs open source AI software open source databases

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!

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

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

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

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

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

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

Sales IBM/Cloudera EMEA BigSQL Offering Management team Peter Nikles: peter.nikl@ch.ibm.com 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]