Training and
Interactive Sessions

Three days of rich content to fuel the data-driven business

Learn how to apply the latest Pentaho innovations, see how customers use Pentaho to solve real-world problems, gain insight into product roadmaps and strategic plans, and take away practical knowledge and best practices.

Test-Drive Product Training

Hands-on sessions will provide the opportunity to explore Pentaho with Hadoop, NoSQL databases and WEKA predictive algorithms. Learn More

Meet the Experts

At the event, schedule 1:1 meetings with Pentaho innovators, partners and architects who will offer real-time advice, best practices and a look into next-generation product.

Breakout Sessions

Data Integration Business Analytics Advanced Analytics Big Data Today Embedded Analytics


October 8th, 2014Already Registered? Build Your Agenda Now
8:00AM - 9:00AM Training Registration and Breakfast - Waldorf Astoria Ground Level Foyer
9:00AM - 11:00AM Pre-Conference Training - Test Drive Pentaho with Hadoop, MongoDB or Weka
1:00PM - 3:00PM Pre-Conference Training - Test Drive Pentaho with Hadoop, MongoDB or Weka
October 9th, 2014
7:00AM - 8:00AM Breakfast in the SolutionExpo
8:00AM - 11:30AM Keynotes and General Sessions in Salon 4-6
11:30AM - 1:00PM Lunch in SolutionExpo
1:00PM - 1:45PM
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Got big data? If so, you can use it to make smarter business decisions, sell more, make customers more loyal and even avert disasters. Predictive analytics help do all that, but it isn't easy to apply the right data mining algorithms and create predictive rules that make a real difference to business outcomes. In this session, Forrester Research Principal Analyst Mike Gualtieri introduces the fundamentals of predictive analytics that every Business Intelligence professional and technology leader should know. See predictive analytics in action, along with a review of the Predictive Modeling Life Cycle, common predictive algorithms, and the tools of predictive analytics.
Advanced Analytics

Predictive Analytics 101: Fundamentals of Predictive Analytics You Need to Know Now, More than Ever
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Mike Gaultieri
Principal Analyst, Forrester Research
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Data sets are evolving from flat, record-oriented structures that store internal business transactions to hierarchical documents that contain rich attributes about business entities and events. In this session you’ll learn about the role that JSON plays in modern web applications, the use of document-oriented databases such as MongoDB, and how schema (or the lack of it) affects your efforts to integrate web data into analytic solutions. We’ll review how the Apache AVRO project uses JSON for defining data types that facilitate Machine to Machine (M2M) and Internet of Things (IoT) applications, and introduce the emerging concept of Linked Data and how Pentaho Data Integration can retrieve data from public websites.
Data Integration

Best Practices for Working with Varied High-Volume Data, including Enriching Business Data with Social, Web and Machine Data; and How JSON helps
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Dave Henry
Senior Vice President, Enterprise Software, Pentaho
Bo Borland
Vice President, Field Technical Sales, Pentaho
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The HP Vertica Analytics Platform is ideal for interactive, blazing fast analytics, and Hadoop is well-suited for batch-oriented data processing and low-cost data storage. By combining Pentaho, HP Vertica, and Hadoop, you can get rapid analytical insights and do far more than each platform could do on its own. Learn how you can extract significantly more value from massive amounts of structured, unstructured, and semi-structured data in this interactive session.
Big Data Today

Streamline Your Data for Blazing Fast Analytics with HP Vertica, Hadoop, and Pentaho
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Chris Selland
VP Marketing, HP Vertica
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In this session, you’ll see how Paytronix was able to store its data more efficiently, reduce its processing time, develop simpler ETL processes, and create an optimal end-user analytics experience by using the complete Pentaho Business Analytics platform. Paytronix wanted to provide their restaurant industry clients with deeper analytics capabilities to help optimize their customer loyalty programs and you’ll see how today, their customers can get a more complete view of guest behavior and thus drive a greater business impact.
Embedded Analytics

Using Embedded Customer Behavior Analytics to Optimize Customer Loyalty Programs (Paytronix Customer Use Case)
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Stefan Kochi
Head of Engineering, Paytronix
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Attend this session to learn about the key areas in Enterprise Deployment and Administration (data integration plus business analytics) that Pentaho will be focusing on in its Product and Innvoation Roadmap.Get your questions answered and learn more about Pentaho's product direction, particularly around performance and scale.
Business Analytics

Product Roadmap and Future Innovation: Performance and Scale with Pentaho Enterprise Deployment and Administration
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Kurtis Cruzada
Senior Product Manager, Pentaho
2:00PM - 2:45PM
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During this session, you'll learn how to monitor the performance of the Pentaho Business Analytics Suite and find out about performance improvement options. We'll provide different examples and best practices so you can fine-tune your own Pentaho implementation.
Business Analytics

How to Best Monitor and Tune Pentaho's Business Analytics Platform for High Performance
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Andrew Grohe
Director, End User Professional Services, Pentaho
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Attend this session to learn how to use PDI to blend big data with other data sources. We'll cover blending data in a transformation, exposing transformation data as a database table, testing the virtual table with PDI, integrating with Pentaho Reporting, integrating with Mondrian/Analyzer, and limitations and important system settings.
Big Data Today

Practical Big Data Blending with Pentaho Data Integration
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Matt Casters
Architect, Data Integration, Pentaho
Doug Moran
Founder and Big Data Product Manager, Pentaho
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In this session you'll gain pragmatic insights into advanced analytics techniques from an early adopter. Prior to PDI, companies like ESRG were piecing together solutions to help with the data preparation, cleansing and orchestration of analytic data sets. Now PDI is critical to the ESRG team. You'll see how ESRG uses Weka with PDI to help clients create a 360-degree view of all equipment data sources and enable early prediction of potential machinery failure.
Advanced Analytics

Using PDI with Weka to Offload Data Preparation, Cleanse and Orchestrate Analytic Data Sets, and Create a 360 Degree View to Predict Machine Failure (ESRG Customer Use Case)
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Jim Stascavage
VP Engineering, ESRG
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Attend this session to learn about the key areas in Embedded Analytics that Pentaho will be focusing on in its Product and Innvoation Roadmap. Get your questions answered and learn more about Pentaho's product direction.
Embedded Analytics

Product Roadmap and Future Innovation: Pentaho Embedded Analytics and Embedded Data Integration
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Anthony DeShazor
Vice President, Enterprise Architect, Pentaho
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Today the choices for where to store data and how to process it are almost endless. Too often clients start with the wrong technology and limit or complicate their project implementation. In this session, we will help you answer the following questions: How should you decide on the right emerging technology for your business? What will be the impact of your decision on your ability to drive analytics and business insights? Based on expertise gained from hundreds of big data implementations, we will provide insights on the various data stores and processing platforms that can be part of your data architecture. We will touch upon their differences and strengths/weaknesses with respect to data processing and analytics. Included are our recommendations for when and why to use MongoDB, Cassandra, HBase, MapReduce, Hive, Impala, Yarn, Storm, or Spark in your data architecture.
Big Data Today

Introduction to Today's Big Data Technologies: Pragmatic Insights into Strengths, Weaknesses and Best Matches for Key Use Cases
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Davy Nys
RVP of Sales, EMEA and APAC, Pentaho
3:00PM - 3:45PM
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Traditional BI has focused on standalone tools for insight, but the potential to create business value is arguably much greater when data and analytics are embedded seamlessly as part of critical applications and processes. Embedded analytics is relevant to every type of organization – whether they are a part of online interactions with your customers and partners, software products you sell, or even new Big Data services opportunities in new markets. This session will describe the different ways to embed Pentaho into your applications to provide solution-specific analytics for your customers.
Embedded Analytics

Understand Embedded Analytics: Drive Value by Delivering Analytics to Your Customers When and Where They Need Them
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Bill Back
Director of Embedded Analytic Services, Pentaho
Ben Hopkins
Product Marketing Manager, Pentaho
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Attend this session to learn about they key areas in Big Data Integration that Pentaho will be focusing on in its Product and Innovation Roadmap. Get your questions answered and learn more about Pentaho's product direction.
Big Data Today

Product Roadmap and Future Innovation: Pentaho Big Data Integration and Orchestration
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Doug Moran
Founder and Big Data Product Manager, Pentaho
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The opportunity of big data is forcing organizations to extend and/or abandon their traditional, database-centric data warehouse architectures. This session discusses options facing systems and data architects as they try to leverage existing analytics investments while simultaneously adopting new ingestion, storage, processing and analytic technologies. Pentaho’s Big Data Analytics platform plays a pivotal role in this transition.
Advanced Analytics

Keeping The Old and Integrating the New: Technology Insights from Inquidia Consulting, Expert Practitioners of Big Data and Advanced Analytics
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David Reinke
Founding Partner, Inquidia Consulting
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Come learn how Pentaho leverages the power of our large and varied development community, and how we determine how best to harvest new and emerging capabilities and plug-ins that are developed by our community members (partners, labs, developers, and customers). We will share examples of how several innovations from our community have been moved through this process, and how our development model framework and approach enables Pentaho to embrace broad innovation yet manage the capabilities that end up as commercially supported enterprise product.
Business Analytics

Advantages of an Open Source Development Model: Innovation from Pentaho Labs, Our Community and More
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Doug Johnson
Executive VP and Chief Operating Officer, Pentaho
Pedro Alves
Senior VP, Community and Managing Director, Webdetails, Pentaho
 
4:00PM - 4:45PM
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Join us to find out why we built the Pentaho platform the way we did, and the unique advantages offered by this architecture. You'll see examples of useful extension points and plug-in options, learn more about how you can bend the technology to your will, and understand the power that Pentaho's unique technology platform provides to Pentaho’s partners, customers, and community.
Business Analytics

Introduction to Pentaho's Unique Architecture and Its Competitive Advantages: Plug-ins, Extensibility, Open Dev Model, CTools and More
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James Dixon
Founder and Big Data Architect, Pentaho
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Creating a single, 360 degree analytical view of an entity such as a customer, employee or financial investment can have a big impact on your business, but blending data from proprietary and open, unstructured data sources can be a development challenge. Pentaho can accelerate your MongoDB development efforts by making it easy to enrich data with predictive scoring and blend data from disparate sources into a single MongoDB view. In this session we will discuss the single view use case and perform a live demonstration of blending real-time Twitter and NASDAQ stock quote data into a single view to derive new insights and understand the impact of Twitter Sentiment on stock valuations.
Big Data Today

Getting a 360 Degree View with MongoDB to Blend, Enrich and Analyze Disparate Data for a Single View
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Bo Borland
Vice President, Field Technical Sales, Pentaho
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Interested in branding your analytical application? Pentaho Analytics enables you to create a unique experience for your end-users that leverages your existing brand and look-and-feel. Come to this session to learn about the four different techniques to brand your analytic solution (Bundled, Mashup, Extended, and Unified), and the pros and cons to each approach.
Embedded Analytics

The Four Major Techniques for Creating a Branded Analytics Experience, and How to Choose Best Approach for Your Company
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Anthony DeShazor
Vice President, Enterprise Architect, Pentaho
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During this session, you'll learn how to monitor the performance of Pentaho Data Integration transformations, dive down into poorer performing steps, and take action to improve and optimize that performance. By the end of the session, you'll understand how to monitor PDI transformations, pinpoint performance bottlenecks, and leverage the best performance improvement techniques commonly used for PDI.
Data Integration

Best Practices from the Trenches: How to Best Monitor and Tune PDI Transformations to Maximize Performance
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Andrew Grohe
Director of Embedded Analytic Services, Pentaho
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Attend this session to learn about the key areas in Pentaho's Big Data Analytics platform that Pentaho will be focusing on in its Product and Innvoation Roadmap. Get your questions answered and learn more about how Pentaho plans to support you in the future, whether you are using an MPP, NoSQL database or Hadoop.
Advanced Analytics

Pentaho Big Data and Advanced Analytics: Product Roadmap and Future Innovation
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Mark Kromer
Senior Product Manager, Pentaho
5:00PM - 6:00PM Cocktails in the SolutionExpo, sponsored by Cloudera
7:00PM - 10:00PM Pentaho 10th Birthday Gala - Bonnet Creek Pavilion
October 10th, 2014
7:00AM - 8:00AM Breakfast in the SolutionExpo
8:00AM - 8:45AM
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For 30 years, the E&P industry has turned to Landmark for some of the world’s most advanced software and solutions for the exploration and production of oil and gas reserves. Landmark products and services help project teams make safe, fast and accurate decisions across every stage of a project’s life cycle.
Big Data Today

Embedded Big Data Insights Across Enterprise Software
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Keshava Rangarajan
Senior Vice President, Landmark Software
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In this session you'll learn PDI best practices from the original creator and architect of PDI. We'll cover a general overview; naming conventions; re-use and parameters; loops, queues, load balancing and watchdog design patterns; performance best practices; lifecycle management; and documentation. This is your chance to talk to the man behind it all, so bring your questions!
Data Integration

PDI Best Practices
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Matt Casters
Architect, Data Integration, Pentaho
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Join this session to get a closer look at the embedded analytics evaluation process, and how Teradata approached the evaluation. Learn from the three months they spent reviewing research, use cases, and requirements across a large number of analytics vendors, and discover why Pentaho was the right choice for their requirements across traditional business intelligence, data visualization, and big data analytics capabilities.
Embedded Analytics

The Embedded Analytics Solution Evaluation Process, and Why Pentaho Was the Right Choice (Teradata Applications Customer Use Case)
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David Perona
Chief Analytics Officer, Teradata Applications
Ed Dupee
General Manager, Analytic Application, Teradata Applications
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In this session, you'll learn about the goals and approaches for securing Business Analytics content and data. You'll learn about the different types of restrictions (content vs. data, row vs. column), see how these are implemented in the major data models and PRD, and learn how content is restricted based on user information. You'll leave with an understanding of the variety of ways to restrict what a user sees, what type of content and data can be restricted, and the different approaches for different model types.
Embedded Analytics

Goals and Approaches for Securing Business Analytics Content and Data, Based on Different Model Types, Including Embedded Environments
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Bill Back
Director of Embedded Analytic Services, Pentaho
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Whether in healthcare, finance, social media, risk management or customer profiling - Big Data has become an integral part of the analytic landscape. The value of information coming out of Big Data needs to be viewed with an important data quality lens to ensure its ability to help you make business decisions. In this session we will discuss data quality practices which are relevant to Big Data and how these practices can impact the usefulness of analytic measures.
Big Data Today

Using Reference Data Sources and Data Quality Practices with Big Data
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Charles Gaddy
Director of Global Sales & Alliances, Melissa Data Corp
9:00AM - 9:45AM
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Join this eye-opening session to learn how RichRelevance uses Pentaho to report on and analyze billions of e-commerce recommendations across hundreds of e-commerce sites. You’ll see how Pentaho is used in conjunction with globally distributed Hadoop-based data storage systems such as Avro files, H-Base, and Impala, allowing RichRelevance provide its customers with data-centric, single view of the shopper and deliver relevant experiences across web, mobile, and in-store.
Big Data Today

Next Generation BI at Work: Reporting and Analyzing on 50 Million Internet Sessions per Day (RichRelevance Customer Use Case)
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Marc Hayem
Senior Director of BI, RichRelevance
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This session covers strategies for dealing with large data sets using the Weka toolset, with particular emphasis on processing in Hadoop using Distributed Weka. We will provide practical approaches to learning predictive models from data that does not fit in main memory. We will use text analytics requirements as the use case with Hadoop.
Advanced Analytics

Handling Large Data Sets with Weka: a Look at Hadoop, Predictive Models, and Text Analytics
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Mark Hall
Data Mining Architect, Pentaho
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This session will focus on how to leverage the different components of the Pentaho stack to build more robust reporting and analytics. You'll learn how to utilize Pentaho Data Integration as a data source, incorporate predictive models into reports, and implement basic write-back functionality.
Advanced Analytics

Leveraging the Power of Pentaho's Platform to Build Advanced Reporting and Analytics
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Sal Scalisi
Presales Engineer, Team Lead, Pentaho
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Come to this session to learn how edo Interactive is using big data to transform shopping and promotional experiences by using data-driven card-linked offers that are simple and targeted. Learn why edo turned to Cloudera and Pentaho to break through the constraints of traditional database systems, and how they improved business results while dramatically reducing costs.
Big Data Today

Using Big Data to Transform the Shopping Experience (edo Interactive Customer Use Case)
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Tim Garnto
Senior Vice President, Project Engineering, edo
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In this session, you'll learn how to scale the Pentaho Business Analytics Server to handle increasing load. We'll provide best practices so you can monitor your server and take action to scale your own Pentaho implementation up and out to meet the increased user load.
Business Analytics

Scaling the Pentaho BA Server: Best Practices for Clustering BA Server, Including Benchmarks
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Anthony DeShazor
Vice President, Enterprise Architect, Pentaho
Andrew Grohe
Director, End User Professional Services, Pentaho
10:00AM - 10:45AM
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Come to this session to learn how to effortlessly take advantage of PDI's strong capabilities with Hadoop and visual Map/Reduce design. We be covering use cases like setup, filtering, aggregation, joining data, geo-lookup, to name a few. See how to visualize the results and better manage your big data transformations.
Data Integration

Practical Visual Map/Reduce on Hadoop with PDI
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Matt Casters
Architect, Data Integration, Pentaho
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In this session, you'll learn how Ruckus Wireless, a provider of enterprise class wireless LAN systems, used Pentaho's ETL and reporting capabilities to build their next generation application, SmartCell Insight (SCI), an analytics engine purpose-built for carrier grade and enterprise WiFi infrastructure. You’ll see how Ruckus uses the extensive capabilities of Pentaho and a columnar database to extract not only the basic network statistics provided by our Access Points (APs), but also to profile user behavior, including metrics that measure user WiFi usage frequency and data transfer. Using Pentaho, SCI can identify APs that need capacity augmentation, network performance issues, and enable insights into usage profiles. Ruckus Wireless will also discuss the development challenges faced in bringing a solution to market that requires both embedded and big data development.
Advanced Analytics

Using the Pentaho Platform to Create a Next Generation Analytics Application to Optimize Customer WiFi Networks (Ruckus Wireless Customer Use Case)
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Amit Rele
Principle Product Line Manager, Ruckus Wireless
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During this session, NetApp will describe the business drivers, approach and technology framework it used for its analytics solution, as well as lessons learned. Attend this session to learn about NetApp's experiences in transforming Service Management data into IT Service Management Metrics (ITSM) for key performance indicators. Learn why NetApp chose a BI reporting solution based on an open source technology stack (Pentaho/MySQL).
Business Analytics

The Journey of Replacing a Spreadsheet-driven Metrics Process with a BI Reporting Solution
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Davor Borcic
BI Operations and Delivery, NetApp
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Data warehousing and dimensional modeling techniques have allowed organizations to consistently deliver insight into everyday business operations, but largely have failed to keep up with end-user demands for integration and analysis of new data sources. The Streamlined Data Refinery use case approaches this problem by helping IT setup a flexible, governed infrastructure that delegates execution of PDI jobs and publication of Analyzer reports to authorized power users and data scientists. In this session we’ll explore two new job steps in PDI 5.2 that automate the generation of Pentaho metadata models and make them available in the Pentaho User Console. We’ll provide examples of how parameterized PDI jobs can be executed on-demand over the web using Pentaho Report Designer forms and CTools applications.
Big Data Today

Best Practices Implement a Streamlined Data Refinery
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Dave Henry
Senior Vice President, Enterprise Software, Pentaho
Chuck Yarbrough
Director, Big Data Product Marketing, Pentaho
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After a brief architectural introduction to CTools, you'll learn how to use sample MDX queries with CTools and include them in a CDE dashboard, chart, and table. You’ll also learn how to map data sources to a dashboard and parameterize them, and how to use simple CTools components for quick dashboard prototyping.
Business Analytics

Customized Visualizations: How to Build a CTools Dashboard in 45 Minutes and How to Use the Community Dashboard Editor (CDE)
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Pedro Martins
Implementation Director, Webdetails, Pentaho
11:00AM - 11:45AM
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Organizations today are generating and collecting data at unprecedented rates, and this information can provide critical insights that drive product development, enhance the customer experience and improve business outcomes. However, simply having access to large volumes of data doesn't guarantee success. It takes the right combination of tools to ingest, store, process, analyze and visualize the data in a way that delivers insights to a wide range of audiences. In this session, we will cover how companies can achieve data nirvana with data integration and business intelligence tools from Pentaho on top of an enterprise data hub.
Big Data Today

Building a Data-Driven Enterprise on Top of an Enterprise Data Hub
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David Tishgart
Director of Partner Marketing, Cloudera
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This session will share how Silverchair OEM'd the Pentaho suite of products to develop innovative and configurable reporting that is tightly integrated with their .Net platform, all with minimal coding. Silverchair rebranded the Pentaho User Console as 'Silvermine' and provided a multi-tenant reporting environment to their clients, raising the bar in their industry by providing Semantic Affinity-based user profiles to better target ads as well as provide editorial business intelligence to publishers. Join the session if you are looking for a highly engaging discussion of innovative, real-­world solutions.
Embedded Analytics

Embedded Analytics Best Practices: Extending and Integrating Pentaho with Minimal Coding (Silverchair Customer Use Case)
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Jeff Allen
Data Analytics Architect, Silverchair
Steve Patterson
Data Analytics Developer, Silverchair

Forrest Swope
Senior Director, Platform Development, Silverchair
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See examples of how Pentaho’s visualization API can be used to add new visualizations to the system and how the existing ones can be enhanced. Examples will include geo-spacial and interesting D3 visuals.
Business Analytics

Extending Pentaho Analyzer: Using APIs to Create and Enhance New Data Visualizations
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James Dixon
Founder and Big Data Architect, Pentaho
11:45AM - 2:00PM Lunch in the SolutionExpo
2:00PM - 4:00PM Closing Keynotes in Salons 4-6