IOUG Track Header
IOUG Track at Data Summit 2016

Once again in 2016 the IOUG (Independent Oracle Users Group) will join us to help develop the Data Summit program into the most comprehensive conference on information management and big data for technology and database professionals. 

Tuesday, May 10

Big Data Tools for the Oracle DBA

Terms such as Big Data, NoSQL, Hadoop, Kafka, and R are creating a storm that is engulfing the database world—but what do these terms really mean for you, the Oracle professional? What does Big Data change about your day, and how do you adapt in order to become an essential member of your company’s Big Data strategy?

IOUG speakers explore these questions and more while giving practical advice on how to learn, use, and mature these technologies for new deployments and mature business systems. 


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

WELCOME & KEYNOTE - How Statistics (And a Little Public Data) Can Change a City

9:00 a.m. - 9:45 a.m.

Ben WellingtonThe creator of I Quant NY, a data science and policy blog that focuses on insights drawn from New York City's public data, Ben Wellington, advocates the analysis of open data to affect policy. The Open Data movement is growing, and governments are releasing vast amounts of data to the public. As citizens push for more transparency, it is fair to ask what we can actually do to derive actionable insights from this data. How can this data help us improve the cities we live and work in, whether we are policymakers, businesses, or residents? Wellington explores how he's used his blog and some simple data science techniques to make changes in New York City. He discusses best practices for data science in the policy space, explores how storytelling is an important aspect of data science, and highlights the various datadriven interactions he's had with city agencies. He contends that data science need not use complicated math: It's often more about curiosity and the questions we ask than the complexity of the equations we use.

Ben Wellington, I Quant NY

Rethink Data Management

9:45 a.m. - 10:00 a.m.

From On-Premises to Cloud It is undeniable that data continues to power business growth, competitive advantage and customer experience. In the midst of a monumental transformation fueled by social, mobile, and cloud, business and IT leaders alike are rethinking their roles and how they manage and deploy technology to accelerate business growth. Leveraging Oracle Database 12c, customers can rethink data management and gracefully evolve architectures from on-premises to the Cloud. Learn about the latest data management trends and how transforming to the Cloud can help organizations innovate faster, improve time to market, and stay ahead of the pack.

Nicholas Chandra, VP, Cloud Computing Success, Oracle

COFFEE BREAK in the Data Solutions Showcase

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

Moderator: Suzanne Prezorski, Lead Programmer/Analyst, Cablevision

C101: Get Real-Time Oracle Data Into Kafka to Unlock the Value of Your Data

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

Kafka is gaining momentum as a very popular and fast messaging platform. It is extremely good at quickly integrating different types of data. Kafka makes this data available as an up-to-date, real-time data stream for enterprise users who are no longer satisfied making business decisions with static data. So much hidden data is available in our Oracle databases, the issue becomes how to turn the database inside out and make this data available in real-time to Kafka along with other enterprise data sources. This session presents use cases and a live demo for Oracle real-time data streaming as well as an introduction to Kafka and how to use Oracle logical replication to get real-time data into Kafka. 

Chris Lawless, Product Manager, Dbvisit Software Limited

C102: Spark for Oracle Developers

12:00 p.m. - 12:45 p.m.

This session covers moving from an Oraacle-only pipeline to a real time Spark pipeline.

Anant Asthans, Big Data Consultant/Data Scientist, Data Scientist, Pythian

ATTENDEE LUNCH in the Data Solutions Showcase

12:45 p.m. - 2:00 p.m.

C103: Integrate Big Data with Master Data on Hadoop and Spark

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

Big Data analytics furnishes actionable information to help business decisions—e.g., "Which of our products got four stars rating on social media in the last quarter?” Producing actionable information requires both Big Data i.e., facts, usually stored in HDFS or NoSQL DBMS as well as Master Data i.e., products, customers, usually stored in Oracle database. You either ship Master Data to Hadoop (ETL) or access it directly at the storage location through a storage handler. This technical session demonstrates Oracle Table Access for Hadoop and Spark (OTA4H) which turns Oracle database tables into Hadoop or Spark datasources thereby allowing Hive SQL or Spark SQL queries and joins without shipping data around.

Kuassi Mensah, Director of Product Management, Oracle Corporation

COFFEE BREAK in the Data Solutions Showcase

2:45 p.m. - 3:15 p.m.

C104: Hadoop Data Store and Retrieval: Perceptions and Reality

3:15 p.m. - 4:00 p.m.

Hadoop-based data stores have attracted the imagination of technologists, management, and technology leaders. Hadoop data stores are distinctly different from traditional structured relational databases. They have opened the door for new paradigms in storing structured and unstructured data and led to a concept of "store first, think later" as to how to use it. This session focuses mainly on how data can co-exist between traditional RDBMS and emerging data types within the Hadoop ecosystem. It discusses how data formats and query engines differ from the traditional access patterns. Many complex data management issues within Hadoop exist. With many open source projects running parallel, there are new ideas, new query modules, and new storage methods evolving. We discuss perceptions and realities from a data administrator and data manager perspective. 

Madhu Tumma, Director, IT Engineering, TIAA-CREF

C105: Oracle NoSQL for the Oracle RDBMS DBA

4:15 p.m. - 5:00 p.m.

Numerous NoSQL databases are on the market, under evaluation, and implemented in shops that are traditionally RDBMS shops. Where does the Oracle NoSQL Database fit in? The Oracle RDBMS database administrator has an opportunity to learn Oracle NoSQL and add it to the portfolio.

Charles Pack, Technical Director, CSX Technology IOUG, NFOUG

NETWORKING RECEPTION in the Data Solutions Showcase

5:00 p.m. - 6:00 p.m.

Wednesday, May 11

What Big Data Means for Oracle Business Intelligence

Technologies such as Hadoop are enabling companies to store all kinds of structured and unstructured data. However, being able to warehouse Big Data and being able to turn it into something useful and real time are not one and the same. Combining this massive source of information with sophisticated machine learning and natural language programming algorithms allows data professionals to cleanse, enrich, and publish their data into useful data streams, ready for further discovery, analysis, and reporting. Can your data warehouse do this?

Join IOUG’s top BI experts to discover how to evolve your data warehousing and analytics strategies by taking advantage of modern Big Data concepts to produce actionable, business-critical analytics.

CONTINENTAL BREAKFAST in the Data Solutions Showcase

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

OPENING KEYNOTE - Reimagining the World Through Data

9:00 a.m. - 9:45 a.m.

Kalev Hannes LeetaruHow does Big Data change how we view the world? Data mining expert Kalev Leetaru looks at how large datasets and computing platforms allow us to reimagine our world. He’s looked at news as emotion, the geography of social media, cultural computing, and cities as geographic networks. Big Data, the algorithms that control data discovery, and the data-driven economy change how we interact with information.

Kalev Hannes Leetaru, GDELT Project, Forbes Columnist, GDELT Project

KEYNOTE Sponsored by Amazon Web Services

9:45 a.m. - 10:00 a.m.

Managed Database Services on AWS

George JohnIn addition to running databases in Amazon EC2, AWS customers can choose among a variety of managed database services. These services save effort, save time, and unlock new capabilities and economies. In this session, we make it easy to understand how they differ, what they have in common, and how to choose one or more. We explain the fundamentals of Amazon DynamoDB, a fully managed NoSQL database service; Amazon RDS, a relational database service in the cloud; Amazon ElastiCache, a fast, in-memory caching service in the cloud; and Amazon Redshift, a fully managed, petabyte-scale data-warehouse solution that can be surprisingly economical.

George John, Solutions Architect, Amazon Web Services, Inc.

COFFEE BREAK in the Data Solutions Showcase

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

Moderator: Coleman Leviter, Oracle database Developer, IOUG

CLOSING KEYNOTE - Disruption at the Speed of Data

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

During the conference, we've heard about the challenges Big Data, smaller data, and open data pose for businesses, government, and organizations. Technologies such as Hadoop, machine learning, query languages, Apache Spark, data lakes, the IoT, virtualization, and the cloud hold promise but also carry the possibility of disruption. Creating a strategy that acknowledges changes in the world around us, not just the technology, requires an understanding of business disruption, capability by design, and a platform of speed. O'Brien talks about the new mindset regarding data necessary to take advantage of the technologies, techniques, and business processes required to capitalize on these innovations and reach its full potential. His keynote puts this all in perspective to encourage action. Everyone attending the closing keynote receives a copy of the “Data Lakes Adoption and Maturity Survey Findings Report” and is entered into a drawing to win an Apple iPad Pro. One winner will be announced at the conclusion of the event and must be present to win.

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

C201: Utilizing Hadoop Data Warehouse in Oracle BI Architecture

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

In the new era of Big Data, more companies are looking at HDFS as a solution to data storage and management. IT companies such as Hortonworks and Cloudera are packaging up the toolsets in order to provide solutions to the limitations that have previously prevented Hadoop from becoming the replacement for traditional data warehousing. OBIA and BDD have capabilities to display data for analysis directly from HDFS, and ODI has built-in Knowledge Modules to HDFS. With more organizations moving to HDFS, Oracle can leverage BI in a Big Data infrastructure framework.  

Jason Proto, BAS Consulting-Senior Associate, Grant Thornton

C202: Text Mining Tips & Techniques

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

Hadoop is enabling companies to store all kinds of structured and unstructured data—hence popularity and demand for text mining continues to grow. This presentation demonstrates various text mining methods for mining unstructured data and creating valuable insights using Python. This presentation will not only help understand different types of text mining techniques using examples and demo but also demonstrate how to apply various machine learning and sentiment analysis techniques on the data.

Bob Stanoch, Big Data Sr. Sales Consulting Manager, Oracle

LUNCH PRESENTATION: When to Use What? A Comparison and Considerations When Choosing an In-Memory Database

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

Not all "In-memory" databases are built equally. Different vendors use different techniques to accomplish this and in this session, we will explore their capabilities. Understanding the truth behind the marketing hype is the first step in helping you decide which database is suitable for your organization.

Liwen Yeow, WW DB2-SAP Technical Sales Manager, IBM

George Baklarz, Program Director, coreDB Technical Sales Support, IBM

C203: Modern Data Architecture

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

The lifecycle of data remains constant, but the speed, variety, and technology has advanced. Governance principles matter for finance, and are adapted to handle customer and operational content. The changing business environment requires companies to put more sophisticated reporting and analytics platforms in place to accommodate the increased amount of data and information available from a variety of sources. The explosion of not only the amount of data available to us but the amount of data that we need to explore and analyze to meet our business needs has quickly passed the capacity of traditional legacy tools and technologies—particularly ETL and Data Warehousing platforms. There are so many elements to consider, and no pre-written playbook to follow. But there are more best practices being recognized every day, and value realized by those organizations that are moving boldly ahead with a modern data architecture, including data discovery and data governance. Learn from actual use cases how companies have leveraged data discovery through big data lakes to reduce costs, to improve customer satisfaction, to create new revenue streams. If you are hoping to unlock the power of big data in your organization this is a must-attend session.

Chris Schultz, Director, Business Analytics, Grant Thornton

C204: The Intersection of Big Data, IoT, and Oracle Edge Analytics

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

The emerging Internet of Thing (IoT) is connecting a new wave of devices-from industrial sensors and wearable devices to retail cameras-to the internet. The data from these devices can reduce costs, increase revenue, and improve customer service, but only if that data can be analyzed and acted on quickly. This session discusses how to solve such problems using IoT Platform, Industrial grade security, cloud computing, Big Data, and Oracle Edge Analytics. Learn how to gather the business requirements, sources of data, and security and compliance needs for the end-to-end solutions using industry use-cases.

Pravin Patil, Managing Partner, Kapstone

Harish Jangada, Managing Partner, Kapstone

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