Sneak Peek of the Agenda for the In-Memory Computing Summit 2016
FOSTER CITY, California – March 1, 2016 – GridGain Systems, a provider of the enterprise-grade version of the Apache® Ignite™ in-memory data fabric, is offering a sneak peek into the agenda for the second annual In-Memory Computing Summit (IMC Summit) scheduled for May 23-24, 2016 at the Grand Hyatt San Francisco. Super Saver registration discounts for the event will end on March 4, 2016.
The In-Memory Computing Summit is a multi-track conference bringing together in-memory computing visionaries, decision makers, experts, and developers for the purpose of education, discussion, and networking. The In-Memory Computing Summit is organized by GridGain and supported by Neeve Research, ScaleOut Software, MemSQL, Hazelcast and Datanami. The conference provides insights into current uses of in-memory computing as well as the future of this rapidly evolving market, including technical deep dives and business-focused sessions, and offers community and connection opportunities for sponsors and attendees. Announced conference sessions include:
- Target’s first foray into an in-memory data grid (and the trips, stumbles, and falls that came with it) - Jim Beyers, Group Engineering Manager; Hitendra Pratap Singh, Senior Software Engineer; and Aaron Riekenberg, Software Engineer, at Target - Available to Promise (ATP) is a new way to talk to guests about product availability and delivery times on Target.com and is used as the reservation engine for orders. In order to provide the guest experience we seek to deliver on Target.com, the team used an in-memory data grid. This talk will cover what the team did right, what we did wrong, and what metrics we achieved.
- In-memory stream processing at Integral Ad Science - Alexey Kharlamov, VP of Technology at Integral Ad Science Inc. - Integral Ad Science employs stream processing systems to extract value from data and relies on Apache Storm to collect, aggregate and make decisions in real-time. Such systems frequently try to use external storage for a persistent state to store real-time data views and provide failure recovery capabilities. This talk will reveal how we handled the challenges when building a 1.5 million msg/sec global processing system with Apache Storm and Apache Kafka.
- Science without the fiction: How understanding persistent memory market trends can help you make the best design choices - Gordon Patrick, Director of Enterprise Computing Memory at Micron Technology Inc. - With persistent memory solutions quickly moving from concept designs to mass-production reality, IT architects face significant questions: How do I get the most value out of my system? How will the broader market adopt and implement today’s NVDIMM portfolio? What applications gain the most benefit from today’s solutions? What are the current challenges for adoption? How should I plan to ensure I keep up with industry trends? This talk will provide a view of how current products are driving new opportunities in persistent memory and provide insight into important industry trends affecting tomorrow’s persistent memory platforms.
- Introducing a non-volatile generic object programming model for in-memory computing (Spark) performance improvement - Gang (Gary) Wang, Sr. Software Developer at Intel Corp - In-memory computing frameworks such as Spark are gaining tremendous popularity for Big Data processing as their in-memory primitives make it possible to eliminate disk I/O bottlenecks. Logically, the more available memory they have the better performance they should achieve. However, unpredicted GC activity from on-heap memory management, a high cost for serialization/de-serialization (SerDe), and burst temporary object creation/destruction greatly impact performance and scale-out ability. This talk will introduce our non-volatile generic Java object programming model for in-memory computing and include a non-volatile computing case using Spark.
- Using lock-free and wait-free in-memory algorithms to turbo-charge high-volume data management - Henning Andersen, Chief Architect at Stibo Systems A/S - Stibo Systems recently released the in-memory component for its Master Data Management (MDM) platform, significantly speeding up most parts of the system. The MDM platform provides high volume data management with many concurrent users. This talk will help developers navigate the landscape of in-memory products and identify the trade-offs involved when choosing a path.
- Demystifying In-Memory Data Grid and NoSQL DB. Are they one and the same? - Pandurang Naik (Pradeep), Principal Consultant at Wipro Limited - With the tremendous growth in big data, low latency and high throughput are the keys for many big data applications. Some traditional database vendors are extending their platforms to support an in-memory capability, while others are offering in-memory data grid and NoSQL solutions for high performance and scalability. This talk will present our point of view on in-memory data grid and NoSQL technology, including our experiences with implementing use cases that demand low latency and high throughput with inherent scale-out features.
Super Saver Registration Discounts
A Super Saver General Admission rate of $599, a 25 percent discount on the standard rate of $799, is now available. The Super Saver rate ends on March 4. Register via the conference website, or email attendance and registration questions to email@example.com.
A limited number of Platinum, Gold and Silver sponsorship packages are still available. Visit the conference website for more information on sponsorship benefits and pricing. Current sponsors include:
- Platinum Sponsors – GridGain Systems, Neeve Research
- Gold Sponsors – ScaleOut Software
- Silver Sponsors – Hazelcast, MemSQL
- Media Sponsor - Datanami
About the In-Memory Computing Summit
The In-Memory Computing Summit 2016 is the only industry-wide event of its kind, tailored to in-memory computing related technologies and solutions. It’s the perfect opportunity to reach technical IT decision makers, IT implementers, and developers who make or influence purchasing decisions in the areas of in-memory computing, Big Data, Fast Data, IoT and HPC. Attendees include CEOs, CIOs, CTOs, VPs, IT directors, IT managers, data scientists, senior engineers, senior developers, architects and more. It is a unique forum for networking, education and the exchange of ideas — ideas that power the new world and future of Fast Data. For more information, visit http://imcsummit.org/ and follow the event on Twitter @IMCSummit.
GridGain is revolutionizing real-time data access and processing by offering the enterprise-grade In-Memory Data Fabric built on Apache Ignite™. The solution is used by global enterprises in financial, tech, retail, healthcare and other major sectors. GridGain solutions connect traditional and emerging data stores (SQL, NoSQL, and Hadoop) with cloud-scale applications and enable massive data throughput and ultra-low latencies across a scalable cluster of commodity servers. A converged data platform, GridGain solutions offer the most comprehensive, enterprise-grade in-memory computing solution for high-volume transactions, real-time analytics and hybrid data processing. The company is funded by Almaz Capital, MoneyTime Ventures and RTP Ventures. For more information, visit https://www.gridgain.com.
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