M Chambers and RapidMiner Overview for Babson class
- 1. Be Heroic Analytics. For Anyone. Turn Big Data into Action
- 2. 2 My journey…. Early Life College Early Career Masters Mid Career
- 3. 3 About me now…. Michele Chambers President/COO @mcAnalytics [email protected]
- 4. 4 Analytics on big data is no longer just a competitive advantage. It’s a Business Requirement. Progressive businesses must accelerate time-to-value not only to thrive, but survive.
- 5. 5 Unlike traditional analytics providers, RapidMiner enables anyone to make the most of all data in all environments, creating a powerful advantage from the wisdom of over 250,000 users. RapidMiner is the industry's easiest-to-use Modern Analytics Platform that significantly accelerates productivity – from data blending to predictive action. Built by data scientists for data scientists, businesses analysts, and developers.
- 6. 6 TTraditional MModern Advanced Analytics Market Maturity Lagging innovation High-velocity innovation
- 7. 7 TTraditional Evolving Roles for Advanced Analytics MModern Status Quo • Statisticians • Quants • Actuarials Next Generation • Data Scientists • Business Analysts
- 8. 8 TTraditional Evolving Advanced Analytics Market MModern Limitations • Limited handling of variety of data source • Legacy compute engines • On-premises, if not offline Limitless • Big Data • New compute engines • Cloud
- 9. 9 Traditional vs. Modern Analytics Market Magic Quadrant for Advanced Analytics Platforms February 2015 Challengers Leaders Niche players Visionaries Completeness of vision Abilitytoexecute Tibco Software Prognoz Salford Systems Revolution Analytics Predixion Angoss FICO SAP Dell Microsoft KNIME IBM SAS RapidMiner Alteryx Alpine Data Labs
- 10. 10 Enter RapidMiner. Analytics. For Anyone. Accelerate Pre-Built Templates One-Click Deployments Connect All Data All Environments Simplify Code-Free Wisdom of Crowds
- 11. 11 Wisdom of Crowds How do we create data science heroes? Store them in a knowledge base of analytic best practices Anonymously collect analytic processes from analysts across the enterprise Use machine learning algorithms to recommend and empower any user at any skill level to become a data science hero 1 2 3
- 12. 12 Self Service Modern Analytics Platform RapidMiner Studio Code-free design your analytics using 1500+ operators RapidMiner Radoop Push down computations to where your data lives RapidMiner Streams Analyze streaming data while in motion RapidMiner Cloud Elastic compute environment for high performance analytics RapidMiner Server Enterprise analytics environment for integration with business processes Orchestrate Design Compute Business Analysts Data Scientists Consume Machine Business Users Web App Custom App Biz App VizBI Studio Code-Free GUI Engine Engine In-Memory In-DatabaseIn-Hadoop Engine Studio Engine Engine Streams Engine Radoop Engine Cloud Engine Server Web Services API In-Stream Engine
- 13. 13 IT Use statistical tool to •create ad hoc predictive processes Developer Data Scientists Use programming languages and libraries to: •build completely new algorithms •create highly customized advanced analytic processes Applied Data Scientists Use advanced analytic platforms to: •ingest and prepare data for analysis •identify patterns in data •build and deploy novel predictive apps Business Analysts Use advanced analytic platforms to: •ingest and prepare data for analysis •identify patterns in data •build and deploy standard predictive apps Business Consumers Use embedded predictive results in frontline applications Maximize Analytic Skills Through Collaboration Why RapidMiner: Fast Production Deployments Why RapidMiner: Share Code Across Teams Why RapidMiner: Efficiency & Collaboration Why RapidMiner: Design Predictive Analytics Why RapidMiner: Actions in Front Line Apps RapidMiner Studio RapidMiner Radoop RapidMiner Stream RapidMiner Cloud RapidMiner Server
- 14. 14 RapidMiner Radoop Architecture Hadoop environment Impala (In-memory SQL) Mahout (Machine Learning) Pig (Scripting) HDFS YARNMapReduce Hive (SQL) PROGRAMMING CODE VISUAL DEVELOPMENT Radoop Studio Server Spark (MLib) Ingestion Modeling DeploymentBlending Code-free design in RapidMiner with 70+ Operators Optimized distributed execution in Hadoop environment One-click push down to Hadoop environment
- 15. 15 VISUAL DEVELOPMENT Streams Studio Server Apache Storm clusterMessage broker Apache Kafka Amazon SQS or Application Cassandra MongoDB Apache Kafka Application push pull pull store deploy process as topology monitor and manage Redis RapidMiner Streams Architecture Code-free design in RapidMiner leveraging 1500+ Operators Distributed execution in Storm environment One-click push down to Storm environment Node Engine Node Node Storm Topology Node Storm Topology Node Engine Streams Spout Bolt Bolt Bolt Storm Topology Bolt Bolt Ingestion Modeling DeploymentBlending
- 16. 16 www.rapidminer.com Activating the data science hero in every business analyst! Michele Chambers @mcAnalytics [email protected]
Editor's Notes
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