Wednesday, May 13, 2015

Track A — Analytics and Applications
Track B — Moving to a Modern Data Architecture
Track C — IOUG Track: Big Data in the Cloud
Virtualization Day

CONTINENTAL BREAKFAST in the Data Solutions Showcase

8:00 a.m. - 9:00 a.m.

OPENING PANEL - Resolving Data Conundrums

9:00 a.m. - 10:00 a.m.

Opening the second day of Data Summit 2015, our illustrious panel addresses the main issues facing data scientists, Big Data analysts, business strategists, and technology aficionados. Is Hadoop to be dumped? Will we drown in data lakes? Are we virtualizing to the max? What’s on the data horizon? Big Data gets lots of attention these days. From a business and a technology perspective, how can we get the most benefit out of Big Data?

Miles Kehoe, Founder & President, New Idea Engineering

Anne Buff, Business Solutions Manager, SAS Best Practices, SAS Institute

COFFEE BREAK in the Data Solutions Showcase

10:00 a.m. - 10:45 a.m.

Track A — Analytics and Applications

Moderator: Joe McKendrick, Principal Researcher, Unisphere Research

A201: Increasing Your Productivity Through Data Visualization

10:45 a.m. - 11:30 a.m.

Full Stack Business Intelligence: Why Data Visualization is not Enough

Aviad Harell, Co-founder and VP Solution Engineering, Sisense

Data Visualization and Dashboard Design— How to Increase Profits and Productivity

Amanda Gessert, Senior Manager, Business Intelligence, Merkle, Inc

A202: Supercharging Your Marketing With Predictive Analytics

11:45 a.m. - 12:30 p.m.

Companies see a pot of gold at the end of the marketing data rainbow and want to know exactly how much they are pulling out of it. Marketing leaders are pressured every day to become more data-driven and to double down on marketing measurement. However, just 25% of marketers today can answer the question, “What is marketing’s impact on the business?” And just 24% of marketers say they consistently use data to develop actionable insights for the overall marketing strategy. Showing marketing’s impact on the business and making data actionable is a process of marketing measurement maturity. This session takes an in-depth look at getting to marketing measurement maturity in four stages.

From Marketing Data Chaos to Predictive Analytics

Jochen Frey, Co-Founder & CTO, Beckon, Inc

An Update from CoolaData

Tomer Ben Moshe, tomer@cooladata, CoolaData

ATTENDEE LUNCH

12:30 p.m. - 2:00 p.m.

A203: Panel Discussion: The Future of Big Data

2:00 p.m. - 2:45 p.m.

Enterprises are embracing the notion of competing on analytics, and, increasingly, there is an understanding that the combination of Big Data with the right solutions can result in valuable insight and advantage. Big Data technologies have burst on the scene with the promise of changing the way data is managed and leveraged. But how do you evaluate which technologies are important now and will have staying power in the future for your company? Join this panel discussion for a lively conversation on the latest trends, technologies, and skills necessary to make a data-centric enterprise a reality.

David Mariani, CEO, AtScale

Wendy Gradek, Senior Manager, R&D Analytics, Engineering Operations, Services and Solutions, EMC

Andy Schroepfer, hosting.com

A204: The Analytics Revolution

3:00 p.m. - 3:45 p.m.

For decades, the financial services industry has been dominated by a handful of major players. But these Goliaths are being challenged by a new group of ambitious Davids—startups pioneering new access and analysis technologies to change the way businesses collect, review, and act on financial data. This session highlights how innovative companies and developers leverage APIs for an automated and data-driven approach to transforming sprawling financial disclosure documents into easily consumable models for effective analysis and dissemination to investors and enterprises. It focuses on the business demand for easier and more cost-effective solutions to data analysis, as well as future opportunities for APIs and how they will change the face of the financial services industry.

How Big Data and the API Delivery Model Are Revolutionizing Financial Services

Andrew Lewkowicz, Managing Director, EDGAR Online, an R.R. Donnelley Company

CLOSING KEYNOTE - Data Disruption and Innovation

4:00 p.m. - 5:00 p.m.

The culmination of Data Summit involves both a look back at what we’ve learned and a look forward toward best use cases for data-driven environments. Big Data holds much promise for innovative forward thinking, while at the same time disrupting some time-honored business practices and beliefs. Big Data changes how we interact with information and encourages a reimagining of how we think about our data and what we can do with it.

MODERATOR: Marydee Ojala, Editor, Online Searcher, Computers in Libraries Magazine, & Editor-in-Chief, KMWorld Magazine

John O'Brien, Principal Advisor & Industry Analyst, Radiant Advisors

Track B — Moving to a Modern Data Architecture

Moderator: John O'Brien, Principal Advisor & Industry Analyst, Radiant Advisors

B201: Overcoming Big Data Integration Challenges

10:45 a.m. - 11:30 a.m.

Attaining a single source of truth for all customer intelligence has long been the Holy Grail for many companies. To be a global leader in local commerce, Groupon must put aggregated data into the hands of decision-makers in near-real time. This means running roughly 1,000 data integration jobs daily, with data coming from more than 35 countries in Europe, South America, Asia, and the Pacific region. Attend this session to find out how Groupon, using the Talend integration platform, is able to import vast amounts of data from varied sources, including CRM, email marketing, and OLTP systems, into the data warehouse as rapidly as possible, and transform and export that aggregated data to various target systems.

Taming Vast Volumes of Disparate Data

Christophe Antoine, US pre-sales manager, Talend

Search Integration with Big Data

Kamran Khan, Managing Director, Accenture

B202: Panel Discussion: Preparing for the Internet of Things

11:45 a.m. - 12:30 p.m.

The billions of connections and sensors collecting data from real-time operational events are creating booming growth in both the amount of data being created—it’s estimated more than 2 exabytes of data is generated every single day—as well as the velocity at which that data is being collected. This raises new questions about how this data can be managed and leveraged for business value, as well as how it should be handled from a data privacy and governance perspective. Join this panel discussion to learn more about the issues that must be considered to both manage the risks and harness the dramatic new opportunity inherent in the mass collection, aggregation, and analysis of data from connected devices.

Jed McGraw, Director of Sales, ParStream

Kiyoto Tamura, Marketing lead and Director of developer relations, Treasure Data

ATTENDEE LUNCH

12:30 p.m. - 2:00 p.m.

B203: Big Data Requires Big Governance

2:00 p.m. - 2:45 p.m.

Monitoring the operational behavior of models is of critical importance and a large part of the model governance process. Auto-encoder technologies can be used to build a diagnostic component to monitor models in the production environment. Find out more in this session about what auto-encoder-enhanced self-diagnostic components can deliver.

Improving Model and Data Governance With Auto-Encoder Self-Diagnostic Model

Scott Zoldi, Vice President - Analytic Science, FICO

Sudeep Venkatesh, Vice President of Solution Architecture, HP Security Voltage

B204: Moving to a Modern Storage Approach

3:00 p.m. - 3:45 p.m.

The flash market has crossed a tipping point in the industry, becoming part of mainstream enterprise IT, and IDC predicts flash technology implementations that disrupt large, enterprise storage systems will reach $41 billion by 2016. With a growing market comes ever-evolving challenges, and CIOs have been tasked with uncovering new and cost-effective means to “impact business” and ensure high-performance production at minimal overhead. This presentation explores the benefits of moving from traditional storage to all flash storage in the data center, thus “impacting business” at the same cost of traditional storage, to pave the way for all flash data centers.

Flash Technology: Disrupting the Economics of the Data Center

Andrew Chen, Senior Director of Product Management, Violin Memory

CLOSING KEYNOTE - Data Disruption and Innovation

4:00 p.m. - 5:00 p.m.

MODERATOR: Marydee Ojala, Editor, Online Searcher, Computers in Libraries Magazine, & Editor-in-Chief, KMWorld Magazine

John O'Brien, Principal Advisor & Industry Analyst, Radiant Advisors

Track C — Evolution of the Data Warehouse in the Age of Big Data

Moderator: Alexis Kolak, Education Manager, IOUG

C201: The New Analytic Paradigm: The Big Evolution of BI

10:45 a.m. - 11:30 a.m.

Big Data is not a new solution regarding business intelligence (BI), but rather a technology and approach that changes how we create and deploy data solutions. As the architecture of our data warehouses evolves to include these new data sources, new and dynamic reporting methods using complete datasets instead of smaller data samples appear. At EPAM Systems, changes in how data is ingested and integrated using a Big Data cluster, and then using the data in the cluster to service the structured data warehouse as well as discovery reporting directly connected to the Big Data repository, involves both pitfalls and successes.

Ian Abramson, Senior Consultant, SWI

C202: Big Data Analytics in Oracle Database 12c With Oracle Advanced Analytics and Big Data SQL

11:45 a.m. - 12:30 p.m.

Oracle Advanced Analytics Option (OAA) extends the Oracle database to a powerful and scalable Big Data predictive analytics platform. OAA provides 15 high-performance, scalable SQL data mining functions that help companies deliver fast predictions and insights that can keep pace with their growing Big Data environment. By moving data mining algorithms to run as native analytical SQL functions that mine all data types (structured, unstructured, and transactional), Oracle eliminates data movement, automates knowledge discovery, and accelerates the transformation of Big Data to actionable insights from days/weeks to minutes/hours. Additionally, Big Data SQL extends OAA’s reach to the Big Data Appliance. Presented are a product overview, several brief demo(s), and two to three customer cases.

Charlie Berger, Senior Director of Product Management, Oracle Advanced Analytics and Data Mining, Oracle Corporation Twitter: CharlieDataMine

ATTENDEE LUNCH

12:30 p.m. - 2:00 p.m.

C203: Introduction to R, for Big Data Analysis

2:00 p.m. - 2:45 p.m.

More and more companies are implementing Big Data solutions, many with the prospect of someday doing something with the data that is being collected. In this hands-on session we get down to brass tacks. Beginning with the setup of core tools and a runthrough of the R language, we get familiar with Oracle R offerings. Begin manipulating data in R and derive useful statistics from sample data. Go over where this data can be sourced and how results can be displayed into useful graphs. A great way for beginners to R to get a jump-start.

Harold A Dost, Senior Consultant, Raastech

C204: Hadoop and Oracle Integration: Lessons Learned

3:00 p.m. - 3:45 p.m.

Aaron Werman, First Data Corporation, discusdrd experiences and technical considerations integrating Oracle with Hadoop (and some other big data/NoSQL) in a dozen applications. This session looks at a range of needs from data warehousing to OLTP an at Oracle working in conjunction with batch tools such as Hive and new messaging tools including Spark and Kafka.

Aaron Werman, FirstData

CLOSING KEYNOTE - Data Disruption and Innovation

4:00 p.m. - 5:00 p.m.

MODERATOR: Marydee Ojala, Editor, Online Searcher, Computers in Libraries Magazine, & Editor-in-Chief, KMWorld Magazine

John O'Brien, Principal Advisor & Industry Analyst, Radiant Advisors

Virtualization Day

V201: The Value of Virtualization and the Cloud Today

10:45 a.m. - 11:30 a.m.

You may think there is no reason to virtualize your data environment or move to the cloud if everything is running smoothly, but you may need to think again. With the growing number of disparate data sources and the shrinking availability of niche technical skill sets to manage, let alone integrate, these data sources, trouble is in the foreseeable future, especially with Big Data on its way. This session breaks down the fundamentals of data virtualization and the cloud to truly understand the problems they solve and how the environments work.

What Virtualization and the Cloud Have to Offer

Anne Buff, Business Solutions Manager, SAS Best Practices, SAS Institute

Data Virtualization for Data Discovery

Lindy Ryan, Professor & Research Faculty, Montclair State University; Rutgers University

V202: Virtualizing Your Database and Big Data in the Cloud

11:45 a.m. - 12:30 p.m.

More and more organizations are virtualizing their databases and moving big data to the cloud. In this special session, Janis Griffin from SolarWinds will explore the fundamentals of monitoring databases running in a VMware environment, which can be very different from monitoring a database running on a physical machine. Chris Kauza from Oracle will shed light on how big data and analytics in the cloud can be used to deliver a competitive advantage, and the practical steps to get started on your initiative.

Best Practices: Databases on VMware

Janis Griffin, Senior Systems Consultant, Quest Software Oracle ACE

Big Data in the Cloud

Chris Kauza, Oracle

ATTENDEE LUNCH

12:30 p.m. - 2:00 p.m.

V203: Increasing Agility Through Data Virtualization

2:00 p.m. - 2:45 p.m.

Enterprises face a variety of data management challenges that influence their ability to leverage accurate, meaningful information quickly and efficiently. Data virtualization is an enabling technology that can address many of these challenges. How long does it take a business analyst, developer, or QA team to get the data they need? What is the impact of delays in getting data to the right place at the right time? What is the impact of inconsistent information? This session explores how data virtualization is being used to reduce data proliferation and ensure that all consumers are working from a single version of the truth. It also explains how to solve the data constraint challenge using data virtualization and copy data management and measure the improvements to your business.

Accelerating Integration With Data Virtualization

BJ Fesq, Chief Data Officer, CIT Group

Suresh Chandrasekaran, Denodo

Virtualizing Data: The Instant Data Cloning Revolution

Kyle Hailey, Technical Evangelist, Delphix

V204: Moving to the Cloud: Challenges and Opportunities

3:00 p.m. - 3:45 p.m.

Savvy organizations are increasingly finding ways to take advantage of the cloud for competitive advantage. However, moving your Big Data to the cloud is not without challenges. This session discusses the requirements for a data warehouse that can take full advantage of the cloud, how Snowflake developed a unique architecture designed for the cloud for today’s data, and how customers are deploying a cloud data warehouse to serve their needs for data processing and analytics. In addition, Rainforest Alliance, an international nonprofit organization that works to conserve biodiversity and ensure sustainable livelihoods, reveals how it achieved integration between two cloud-based CRM systems, an online accounting system, project-based and indicator-driven applications as well as a donor database, and the steps it took to attain the desired outcome.