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© 2013, Pentaho. All Rights Reserved. pentaho.com. Worldwide +1 (866) 660-7555 1 BI for Big Data Beyond the Hype.

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Presentation on theme: "© 2013, Pentaho. All Rights Reserved. pentaho.com. Worldwide +1 (866) 660-7555 1 BI for Big Data Beyond the Hype."— Presentation transcript:

1 © 2013, Pentaho. All Rights Reserved. pentaho.com. Worldwide +1 (866) BI for Big Data Beyond the Hype

2 © 2013, Pentaho. All Rights Reserved. pentaho.com. Worldwide +1 (866) Pentaho Mission The Future of Analytics: Big Data Exploration without Boundaries Modern, unified data integration and business analytics platform Native integration into big data ecosystem Embeddable, cloud-ready analytics Fast and Broad Innovation Open source development model Critical mass achieved Over 1,000 commercial customers Over 10,000 production deployments

3 © 2013, Pentaho. All Rights Reserved. pentaho.com. Worldwide +1 (866) Ian Fyfe Big Data Solutions Engineering, Pentaho Ian brings over 20 years of experience in the business analytics software market with roles spanning consulting services, pre-sales engineering, product management and product marketing. Ian started his career by co-founding a business intelligence startup and has worked at Business Objects, Informix, Epiphany, PeopleSoft and Jaspersoft. Ian Fyfe Big Data Solutions Engineering, Pentaho Ian brings over 20 years of experience in the business analytics software market with roles spanning consulting services, pre-sales engineering, product management and product marketing. Ian started his career by co-founding a business intelligence startup and has worked at Business Objects, Informix, Epiphany, PeopleSoft and Jaspersoft.

4 © 2013, Pentaho. All Rights Reserved. pentaho.com. Worldwide +1 (866) Common Use Cases 4

5 © 2013, Pentaho. All Rights Reserved. pentaho.com. Worldwide +1 (866) The Value of Big Data for our Customers Big opportunities Improve operational effectiveness Machines/sensors: predict failures, network attacks Financial risk management: reduce fraud, increase security Reduce data warehouse cost Integrate new data sources without increased database cost Provide online access to ‘dark data’ Drive incremental revenue Predict customer behavior across all channels Understand and monetize customer behavior

6 © 2013, Pentaho. All Rights Reserved. pentaho.com. Worldwide +1 (866) © 2010, Pentaho. All Rights Reserved. US and Worldwide: +1 (866) | Slide Example Use Cases Today Transactional Fraud detection Financial services / stock markets Sub-Transactional Weblogs Social/online media Telecoms events Non-Transactional Web pages, blogs etc Documents Physical events Application events Machine events

7 © 2013, Pentaho. All Rights Reserved. pentaho.com. Worldwide +1 (866) Click Stream Analytics From buying patterns to revenue Business Challenge Monetize buying patterns hidden in billions of data points Quickly analyze multi-channel click stream data Pentaho Benefits Reduced ETL time to analyze blended data from Hadoop, Hbase & data warehouse Use of big data analytics to grow revenue from targeted campaigns

8 © 2013, Pentaho. All Rights Reserved. pentaho.com. Worldwide +1 (866) Device Data Analytics Big Data for Fortune 100 Enterprise Storage provider Business Challenge Affordably scale machine data from storage devices for customer support app Predict device failure Enhance product performance Pentaho Benefits Easy to use ETL & analysis for Hadoop, Hbase, & Oracle data sources 15x cost improvement Stronger performance against customer SLA’s

9 © 2013, Pentaho. All Rights Reserved. pentaho.com. Worldwide +1 (866) Healthcare Embedded Pentaho to better patient care & compliance through analysis of unstructured digital pen data stored in CouchDB Online Retailer Understanding the buying patterns of 5 million users from click stream data stored in Hadoop & HBase Gaming Better monetization of premium game features through analyzing large volumes of player data - stored in MongoDB & Infobright Social Commerce Better campaign performance through monitoring social media, page clicks and marketing data stored in HP Vertica Travel & Entertainment Helping thousands of travel partners like expedia.co.uk and thomascook.fr improve promotional targeting using Hbase and Hadoop Mobile & Digital Media Embedded Pentaho to measure massive volumes of mobile and event data generated from mobile devices stored in MongoDB Innovative Organizations Use Pentaho to Unlock Value from Big Data Stores

10 © 2013, Pentaho. All Rights Reserved. pentaho.com. Worldwide +1 (866) Pentaho Embedded Analytics New Revenue Stream in Eight Weeks Business Challenge Gain new revenue source from add-on module with reporting, analysis & dashboards Get to market fast to differentiate Pentaho Benefits Easy to embed & brand Broad capabilities result in new revenue stream Increased functionality & compelling visualizations

11 © 2013, Pentaho. All Rights Reserved. pentaho.com. Worldwide +1 (866) Embedded Analytics Pentaho Uniquely Positioned to Win Dashboard Framework Dashboard Designer Why We Win in Embedded: Architectural ‘sweet spot’ for Pentaho platform Flexible pricing, adaptable to fit partner pricing Open source and innovation Fastest time-to-market for embedded analytics Continued Leadership: Cloud & multi-tenancy ease-of-use Simplified REST services for ISVs BI Platform SDK enhancements – deep solution examples, tutorials and training Continued focus on standards and extensibility

12 © 2013, Pentaho. All Rights Reserved. pentaho.com. Worldwide +1 (866) Big Data Technologies BI Strengths and Weaknesses © 2012, Pentaho. All Rights Reserved. pentaho.com. Worldwide +1 (866)

13 © 2013, Pentaho. All Rights Reserved. pentaho.com. Worldwide +1 (866) The Current Solutions 10, ,000 0 Current Database Solutions are designed for structured data. Optimized to answer known questions quickly Schemas dictate form/context Difficult to adapt to new data types and new questions Expensive at petabyte scale STRUCTURED DATAUNSTRUCTURED DATA GIGABYTES OF DATA CREATED (IN BILLIONS) 10%

14 © 2013, Pentaho. All Rights Reserved. pentaho.com. Worldwide +1 (866) Main Big Data Technologies HadoopNoSQL Databases Analytic Databases Hadoop Low cost, reliable scale-out architecture Distributed computing Proven success in Fortune 500 companies Exploding interest NoSQL Databases Huge horizontal scaling and high availability Highly optimized for retrieval and appending Types Document stores Key Value stores Graph databases Analytic RDBMS Optimized for bulk-load and fast aggregate query workloads Types Column-oriented MPP In-memory

15 © 2013, Pentaho. All Rights Reserved. pentaho.com. Worldwide +1 (866) © 2010, Pentaho. All Rights Reserved. Hadoop Core Components HADOOP DISTRIBUTED FILE SYSTEM (HDFS)  Massive redundant storage across a commodity cluster MAPREDUCE  Map: distribute a computational problem across a cluster  Reduce: Master node collects the answers to all the sub-problems and combines them MANY DISTROS AVAILABLE US and Worldwide: +1 (866) | Slide

16 © 2013, Pentaho. All Rights Reserved. pentaho.com. Worldwide +1 (866) Major Hadoop Utilities Apache Hive Apache Pig Apache HBase Sqoop Oozie Hue Flume Apache Whirr Apache Zookeeper SQL-like language and metadata repository High-level language for expressing data analysis programs The Hadoop database. Random, real -time read/write access Highly reliable distributed coordination service Library for running Hadoop in the cloud Distributed service for collecting and aggregating log and event data Browser-based desktop interface for interacting with Hadoop Server-based workflow engine for Hadoop activities Integrating Hadoop with RDBMS

17 © 2013, Pentaho. All Rights Reserved. pentaho.com. Worldwide +1 (866) Hadoop & Databases

18 © 2013, Pentaho. All Rights Reserved. pentaho.com. Worldwide +1 (866) “The working conditions can be are shocking” ETL Developer Big Data Platform Challenges

19 © 2013, Pentaho. All Rights Reserved. pentaho.com. Worldwide +1 (866) Challenges 1. Somewhat immature 2. Lack of tooling 3. Steep technical learning curve 4. Hiring qualified people 5. Availability of enterprise-ready products and tools 6. High latency (Hadoop) 7. Running inside the cluster

20 © 2013, Pentaho. All Rights Reserved. pentaho.com. Worldwide +1 (866) Challenges WOULD YOU RATHER DO THIS? Scheduling Modeling Ingestion / Manipulation / Integration … OR THIS?

21 © 2013, Pentaho. All Rights Reserved. pentaho.com. Worldwide +1 (866) Investigating BI & Big Data Solutions 21

22 © 2013, Pentaho. All Rights Reserved. pentaho.com. Worldwide +1 (866) Questions to Ask Business Drivers 1.Mandate to reduce EDW costs? 2.Clear use case that you need to solve? 3.Do you have access to technical skill set? Technical 1.Do you have more than one kind of big data store, for example Hadoop as well as HBase, MongoDB or Cassandra? 2.Would you prefer to use the same tool for big data stores in addition to your traditional relational data stores? 3.Are you ok waiting minutes or even hours to access your big data? 4.Are you ok using a spreadsheet-like interface to access and analyze your data? 5.Do you need complete BI capabilities, including reporting, interactive visualization, and predictive analytics? 6.Do you need to enrich your big data with data from outside of the big data platform? 7.Is the big data you want to analyze bigger than the amount of memory you have available?

23 © 2013, Pentaho. All Rights Reserved. pentaho.com. Worldwide +1 (866) Demo © 2012, Pentaho. All Rights Reserved. pentaho.com. Worldwide +1 (866)

24 © 2013, Pentaho. All Rights Reserved. pentaho.com. Worldwide +1 (866) Data Ingestion Manipulation Integration Enterprise & Ad Hoc Reporting Data Discovery Visualization Predictive Analytics Complete Big Data Analytics & Visual Data Management Relational Hadoop NoSQL Analytic Databases Pentaho Big Data Analytics

25 © 2013, Pentaho. All Rights Reserved. pentaho.com. Worldwide +1 (866) Open Discussion

26 © 2013, Pentaho. All Rights Reserved. pentaho.com. Worldwide +1 (866) Thank You Facebook.com/Pentaho Pentaho Business Analytics JOIN THE CONVERSATION. YOU CAN FIND US ON:


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