The Big Apple is Getting Cloudy…
The increasing size and complexity of data environments today is straining IT resources at most organizations today, reducing agility, and increasing the costs and challenges associated with maintaining the performance and availability of business-critical systems. To address these concerns, many IT departments are looking for ways to automate routine tasks and free up assets. The use of virtualization to accomplish these goals is growing. Likewise, the adoption of cloud solutions is becoming more and more commonplace.
Whether you are just getting your feet wet or already using virtualization and cloud solutions extensively, Virtualization Day is your opportunity to connect with the experts in New York City and advance your knowledge base. This unique event has all the bases covered:
- The Rise of Data-as-a-Service
- Connecting Your SaaS Apps Across the Enterprise
- Private, Public or Hybrid? Finding the Right Cloud Balance
- Virtualizing Your Databases for Performance
- Migrating Your Databases to the Cloud
- Driving Agility through Data Virtualization
- Data Warehousing in the Cloud
- The Convergence of Big Data and the Cloud
- Cloud Security Strategies
- Moving Your Development Environment to the Cloud
- Future-Proofing Your Data Center
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Wednesday, May 11, 2016
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.
How 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
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.
COFFEE BREAK in the Data Solutions Showcase
10:00 a.m. - 10:45 a.m.
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
V201: The Cloud Landscape Today
10:45 a.m. - 11:30 a.m.
Cloud is no longer a cutting-edge, disruptive technology. Today, it’s mainstream, and IT services of all types are being offered at all levels of the cloud stack. Find out what you need to know as you leverage key IT services in the cloud.
Trends & Lessons Learned When Choosing a Cloud Provider
AWS, Microsoft Azure, Google, and Verizon Cloud have had a number of outages that have taken down companies such as Netflix, Amazon, and Reddit and temporarily put them out of business. These early adopters to the cloud have been forced to rethink their cloud strategies. Amazon Web Services tells companies that they should move everything to the cloud, and yet The Wall Street Journal disclosed that Amazon does not follow its own advice of being 100% cloud. This session discusses recent cloud trends, the lessons learned from these events, and what it means to you as a buyer moving forward as you migrate to the cloud.
Michael J Corey, President, Ntirety – A HOSTING Company http://michaelcorey.com/
Don Sullivan, Product Line Manager, Business Critical Applications, Broadcom (VMware)
Double Developer Productivity With Virtual Data
Test data management (TDM) has become a huge bottleneck in the increasingly fast world of agile and DevOps. But now agile speed can be achieved with virtual data, which is a way of sharing one immutable copy of data among many clones of the data. If a clone modifies data, the new data is stored privately for that clone. Each new clone initially takes up no storage, so many copies can be made for almost free. Such sharing and change tracking allows data to be treated like code source control with branching, bookmarking, versioning, refreshing, rollbacking, etc. A number of companies have doubled their development productivity through virtual data. Find out how, and benefit from the path these innovators have blazed.
Kyle Hailey, Technical Evangelist, Delphix
V202: Increasing Agility Through Virtualization
11:45 a.m. - 12:30 p.m.
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
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
V203: Securing the Cloud
2:00 p.m. - 2:45 p.m.
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
V204: Big Data and Cloud
3:00 p.m. - 3:45 p.m.
The worlds of cloud computing and Big Data are converging, and sophisticated organizations are finding ways to take advantage of both. However, moving Big Data to the cloud brings challenges as well as opportunities.
Implementing a Cloud-Based Data Ecosystem
As RetailMeNot’s operations have grown, the company encountered problems with data access, scaling its data warehouse, and processing large-scale datasets. Retail- MeNot has adopted cloud data management strategies dramatically changing the way it processes data. The company re-architected its data ecosystem to leverage a metadata repository, S3, to simplify data loading, adopt ephemeral processing systems, and open access to information across the company. This session analyzes RetailMeNot’s data ecosystem before and after harnessing Redshift, EMR, Boto, and S3 to implement a modern data ecosystem in AWS.
Nam Nguyen, Staff Data Engineer, RetailMeNot