Wednesday, May 11, 2016

CONTINENTAL BREAKFAST in the Data Solutions Showcase

KEYNOTE Sponsored by Amazon Web Services

Managed Database Services on AWS

In 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.

A201: Machine Learning and the Internet of Things

The Internet of Things (IoT) represents a hot new frontier that enables data to flow in from more and more places. Innovative companies will embrace IoT for competitive advantage by leveraging it to create new business models and sources of value. Find out what you need to know now to gain value from machine learning and IoT.

Advanced Analytics and Machine Learning

Organizations have used data warehouses to manage structured and operational data, which provides business analysts with the ability to analyze key internal data and spot trends. However, the explosion of newer data sources (big data) not only challenges the role of the traditional data warehouse in analyzing data from these diverse sources but also exposes limitations posed by traditional software and hardware platforms. This newer data can be combined with the data in the data warehouse and analyzed without creating another data silo and creating a hybrid data analytics structure. This presentation discusses the data mining and advanced analytics techniques that enables the data to be monetized across this platform.

Satya Bhamidipati, Director, Business Development, Big Data and Advanced Analytics, Oracle

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

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

A204: The Internet of Things Cross-Fire Panel

Cisco has projected that, by 2020, there will be 50 billion connected things, including phones and tablets, as well as other objects and devices that can sense and share information. And, an EMC-sponsored report proposes that between 2013 and 2020, the digital universe will have expanded tenfold, from 4.4 trillion gigabytes to 44 trillion gigabytes. IoT has far-reaching implications, spanning data management, integration, and analytics, as well as data security and governance.

Joe Caserta, Founding President, Caserta

George Corugedo, CTO, RedPoint Global Inc.

CLOSING KEYNOTE - Disruption at the Speed of Data

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

B202: Gaining Customer Value From Big Data

Next-generation technologies are addressing emerging real-world Big Data challenges such as real-time data processing, interactive analysis, data integration, governance, and security. Before a new Big Data project is initiated, it is important to consider the steps involved to achieve success and value, as well as organizational buy-in.

Focusing on Time-To-Value in Big Data Deployments

Enterprises working to take advantage of Big Data technologies frequently become distracted by product- level decisions: What hardware, which distribution, who will build and run the environment? In most new Big-Data builds, this approach is counter-productive: It presupposes tools that may not be a fit for development teams; it forces IT to take on the burden of evaluating and maintaining a new and unfamiliar technology; and, most importantly, it represents an up-front expense that requires new “Big Data” initiatives to show value from a position of up-front capital and operational debt. Join this session to learn how to enhance time-to-value in Big Data deployments.

Sanjay Jagad, Sr. Product Marketing Manager, Coho Data

A Big Step Towards the Value of Your Data

Big data initiatives often need to make a business case first but have only a vague idea about the data sources they will rely on and the quality of information they hold. To overcome this catch-22 situation, enterprise search solutions and search-based applications are a perfect first step to get the necessary insights into your data. Join this session to learn how big data technologies can empower search-based applications and how you can leverage your enterprise search investments to assess the value of big data initiatives.

Benjamin Klatt, Senior Consultant, Raytion GmbH

B203: Overcoming BI Limitations

As organizations increasingly depend on data to enhance decision making and increase efficiencies, selecting the right tools and infrastructure can help avoid BI limitations and expand opportunities.

Innovating Analytics: From In-Memory to In-Chip

In-memory computing was a major innovation for Business Intelligence (BI), but as users and data sets grow exponentially and became more complex, the technology encountered serious limitations. To improve query performance while still enabling non-technical business users to query any data sets is the BI challenge. At the heart of this problem is the fact that in-memory technologies come with a trade-off: They enable much better query performance, but only for limited amounts of data. Overcoming this constraint led to the development of in-chip technologies that continue to deliver on query performance, while also enabling business users to easily apply these performance benefits. This talk presents several of the in-chip technologies developed for business users enabling them to get a handle on complex data sets, and best practices for leveraging these technologies to drive greater value and ROI from complex data.

Jeremy Sokolic, VP Product, SiSense

SQL in Hadoop: To Boldly Go Where No Data Warehouse Has Gone Before?

Originally designed for big data storage and processing, many organizations are now looking to SQL in Hadoop solutions as a replacement to their traditional MPP databases. In this 15 minute session you will hear of some of the fascinating use cases for SQL in Hadoop based on real-world customer examples. You will also be provided with a checklist of items to consider when selecting a SQL in Hadoop solution that meets your enterprise requirements.

Emma McGrattan, SVP, Engineering, Actian Corporation

CLOSING KEYNOTE - Disruption at the Speed of Data

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

C202: Text Mining Tips & Techniques

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

C203: Modern Data Architecture

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

CLOSING KEYNOTE - Disruption at the Speed of Data

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

V202: Increasing Agility Through Virtualization

Enterprise use of virtualization is expanding. There is server virtualization, data virtualization, database virtualization, desktop virtualization, and virtualization of IT infrastructure in support of the software-defined data center. The reason for adoption is cost reduction and increased agility to better respond to changing business and market requirements. Find out how virtualization can improve your organization’s agility.

Modernizing Data Architectures With Data Virtualization to Improve Business Agility

Data virtualization is an important technology to accelerate the time-to-results for new business processes and integrating legacy and newer systems. Data virtualization provides a single logical data access across multiple data sources enabling rapid delivery of complete information to business users. CIT Group created a data services layer to integrate new data sources, minimize data replication, and inject business agility within the regulatory compliance process.

BJ Fesq, Chief Data Officer, CIT Group

Ravi Shankar, Chief Marketing Officer, Denodo Technologies

V203: Securing the Cloud

As cloud deployments become more commonplace, it’s important for organizations to know what safeguards are available to ensure high availability and to protect data from hackers and internal breaches, as well as to be assured that data is being stored according to laws governing transfer of data across geographies. Key considerations in cloud deployments change all the time. What do you need to know now?

A Cloud Framework for Industries With Highly Secure Data—Private, Hybrid, or Public?

Cloud computing is a promising paradigm for delivering computing utilities as services. Just as personal computers and servers shook up the world of mainframes and minicomputers, or as smartphones and tablets revolutionized the mobile commerce industry, cloud computing is bringing similar, far-reaching changes to the licensing and provisioning of infrastructure and to methodologies for application development, deployment, and delivery.

Rao S Kasinadhuni, Database Technologist, Vice President, JPMorgan