Unlocking data science in the enterprise - with Oracle and Cloudera
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This document discusses unlocking data science in the enterprise with Cloudera Data Science Workbench. It introduces Cloudera Data Science Workbench as a tool that accelerates data science from development to production. It allows data scientists to use R, Python, or Scala from a web browser to directly access and analyze data stored in Hadoop clusters. Cloudera Data Science Workbench provides secure, self-service environments for data scientists while also giving IT control over security and compliance. The document includes a demo of Cloudera Data Science Workbench's features.
Unlocking data science in the enterprise - with Oracle and Cloudera
- 1. 1© Cloudera, Inc. All rights reserved. Unlocking data science in the enterprise with Cloudera Data Science Workbench for Oracle Big Data Jochen Faltermeier | Partner Manager, Central EMEA Balazs Gaspar | Sales Engineer, Central EMEA/ CEE
- 2. 2CONFIDENTIAL. INTERNAL. ©Cloudera We believe data can make what is impossible today, possible tomorrow
- 3. 3CONFIDENTIAL. INTERNAL. ©Cloudera 3© Cloudera, Inc. All rights reserved. Cloudera at-a- glance Customer success Large enterprises fueling growth 48% 140%+ customergrowth netexpansion Last 4 years Global 8000 customers Expansion driven by data and new use cases Openpartnernetwork Best of breed solutions 3000+ partners Vast ecosystem of solution & service providers Firsttomarket Open source innovation 2008 founded 1600+ Clouderans Global team doing business in 28 countries Big data innovators from Google, Yahoo and Oracle
- 4. 4© Cloudera, Inc. All rights reserved. Teaming strengths • Executive sponsorship • Install base: nearly 500 customers worldwide • Complementary data management platform • Simplify decision, total cost of ownership & time to market • Architecture and outcome led capabilities • Customer support interlock Innovation strengths • Full stack of platform capabilities (EDW/EDL/OCS) • On-premise, hybrid and cloud deployment options • Tools for LOB, analysts, data scientists, IT • Very high performance and data management and analytics capabilities (EDH+ORAAH) • Product development and integration across BDA/BDCS/Public Cloud offerings Partnership strengths
- 5. 5© Cloudera, Inc. All rights reserved. Cost of compute Data volume Time Machine Learning NO Machine Learning 1950s 1960s 1970s 1980s 1990s 2000s 2010s Age of machine learning
- 6. 6© Cloudera, Inc. All rights reserved. PATTERN RECOGNITIO N ANOMALY DETECTIO N PREDICTION SELF-SERVICE INTELLIGENCE SECURE REPORTING REAL-TIME ANALYTICS MACHINE LEARNING ANALYTICS Enterprise-proven machine learning and analytics 700+CUSTOMERS RUN ON 750+CUSTOMERS RUN ON
- 7. 7© Cloudera, Inc. All rights reserved. The data-driven enterprise Explosion of data and devices (IoT) 30B connected devices 440x more data Transformation of IT infrastructure open source cloud machine learning $200B total market1 1 IDC Worldwide Big Data and Business Analytics Market Through 2020
- 8. 8© Cloudera, Inc. All rights reserved. Data science / machine learning workflow Faster from data to exploration to action in a single platform Data engineering Data science (Exploratory) Production (Operational) Data wrangling Visualization and analysis Model training & testing Production data pipelines Batch scoring Online scoring Serving Data GovernanceGovernance Processing Acquisition Reports, dashboards
- 9. 9© Cloudera, Inc. All rights reserved. Good news Data Engineering Data science (Exploratory) Production (Operational) Data wrangling Visualization and analysis Model training & testing Production data pipelines Batch scoring Online scoring Serving Data GovernanceGovernance Processing Acquisition Reports, dashboards Data has never been more plentiful Open source data science and machine learning libraries are rapidly evolving Commodity (and on-demand) compute makes scalable production machine learning affordable
- 10. 10© Cloudera, Inc. All rights reserved. Bad news Data engineering Data science (Exploratory) Production (Operational) Data wrangling Visualization and analysis Model training & testing Production data pipelines Batch scoring Online scoring Serving Data GovernanceGovernance Processing Acquisition Reports, dashboards Data needs to move across multiple different systems Teams have different, conflicting requests for languages & libraries Most data science done at small scale, individually, and is difficult to replicate Very few models reach production
- 11. 11© Cloudera, Inc. All rights reserved. Access Scale Developer experience Additional challenges
- 12. 12© Cloudera, Inc. All rights reserved. Our goal is to enable data science and machine learning at scale
- 13. 13© Cloudera, Inc. All rights reserved. Open data science in the enterprise IT drive adoption while maintaining compliance Data Scientist explore, experiment, iterate
- 14. 14© Cloudera, Inc. All rights reserved. Our goal: an open platform for data science at scale Help more data scientists use the power of Hadoop Use a powerful, familiar environment with direct access to Hadoop data and compute Data scientist Data engineer Make it easy and secure to add new users, use cases Offer secure self-service analytics and a faster path to production on common, affordable infrastructure Enterprise architect Hadoop admin
- 15. 15© Cloudera, Inc. All rights reserved. Introducing Cloudera Data Science Workbench Self-service data science for the enterprise Accelerates data science from development to production with: • Secure self-service environments for data scientists to work against Cloudera clusters • Support for Python, R, and Scala, plus project dependency isolation for multiple library versions • Workflow automation, version control, collaboration and sharing
- 16. 16© Cloudera, Inc. All rights reserved. Demo
- 17. 17© Cloudera, Inc. All rights reserved. With Cloudera Data Science Workbench… Data scientists can: • Use R, Python, or Scala from a web browser, with no desktop footprint • Install any library or framework within isolated project environments • Directly access data in secure clusters with Spark and Impala • Share insights with their team for reproducible, collaborative research • Automate and monitor data pipelines using built-in job scheduling IT can: • Give their data science team the freedom to work how they want, when they want • Stay compliant with out-of-the-box support for full platform security, especially Kerberos • Run on-premises or in the cloud, wherever data is managed
- 18. 19CONFIDENTIAL. INTERNAL. ©Cloudera Customer Data Center Customer Managed 19 Big Data Appliance Customer Data Center Oracle Managed Oracle Cloud Oracle Managed BDA Cloud Service On-Premises Cloud @ Customer Public Cloud Big Data Cloud to Customer Portfolio and Product Alignment powered by Cloudera
- 19. 20CONFIDENTIAL. INTERNAL. ©Cloudera Why Oracle and Cloudera? Oracle Exadata EDW Relational/Transactional /Data Mining Oracle Data Integrator/ Golden Gate <--------------> Oracle Big Data Appliance DATA LAKE Hadoop/NoSQL Social/Web/IoT Oracle Big Data SQL VALUE DRIVERS • TTM, Data drive decisions • Reduces Cost • Reduce Risk • TCO TECHNICAL VALUE • Query more data with BD SQL; a tool you know and have invested in • Easily integrate more data with existing app’s • Secure, integrated, scalable data platform USE CASES • Customer 360 • Digital Transformation/Instrument your business • Secure your business (Cyber/Fraud) Oracle Analytics Cloud & BDCS (Visualization, Automatic, BI, Analytics, Discovery, Preparation)
- 20. 21© Cloudera, Inc. All rights reserved. Thank you Watch the webinar series: go.cloudera.com/cdsw-webinar-emea