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Webinars

Upcoming Webinars

The SQL/NoSQL/NewSQL discussion isn’t a new one, and it continues to be a confused and confusing debate internally at many companies. Listen to this webinar with VoltDB Director of Product Marketing, Dennis Duckworth, to learn The importance and portability of using a standard, expressive programming language, and how ACID impacts concurrent actions and makes some things most of you are trying to do much easier. Dennis will also cover how SQL operational databases deliver correct answers - and why NoSQL can’t without significant cost (like, in performance). Last he will outline how VoltDB customers dramatically reduced the number of servers needed when they switched from open source DIY NoSQL stacks to VoltDB

There is a fuzzy border between the streaming and operational requirements of managing fast data in IoT. There is also an increasingly fuzzy border between where the computation and data management activities should occur. In this webinar, Ryan Betts, CTO of VoltDB will highlight the benefits and disadvantages of a unified IoT architecture and discuss how simplifying at the core allows for high throughput, streamlined scalability and data consistency.

Past Webinars

How to Simplify the Lambda Architecture

Presented by VoltDB Software Engineer, John Hugg. What is Lambda? The architecture is designed to handle massive quantities of data by taking advantage of both batch- and stream-processing methods. The problem? It’s complicated and resource intensive. Learn how to improve the Lambda architecture by reducing the number of moving pieces, the products and components needed.

How to Build Fast Data Applications: Evaluating the Top Contenders

Massive amounts of data generated from mobile devices, M2M communications, sensors and other IoT devices is redefining the world. What kind of applications will you build to take advantage of this data and provide value to your customers? What technologies are out there to help you? Join this webinar with Dheeraj Remella, Director of Solutions Architecture at VoltDB to learn the difference between fast OLAP, stream-processing, and OLTP database solutions. Dheeraj will also discuss the importance of state, real-time analytics and real-time decisions when building applications on streaming data, and how streaming applications deliver more value when built on a super-fast in-memory, SQL database.

Stonebraker Says: Fix Legacy Database Design or Be Left Behind

The second in a series of informative, educational webcasts presented by Michael Stonebraker. In the second “Stonebraker Says” webcast, Dr. Stonebraker explained why you need to fix your database design – or risk being left behind in a world that’s smarter and faster than what your legacy system can handle.

VoltDB and Full 360 Present: How a Fast Real-Time Database Helps a $2B Loyalty Program Launch Campaigns in Days Rather than Months

Presented by Rusty Ross, Solutions Architect, Full 360, Inc. and Ryan Betts, CTO, VoltDB. Technology and especially data infrastructure used to convert raw data into business value can provide this competitive advantage. The pressure is on to build a smarter, flexible infrastructure that more effectively taps data for customer engagement and loyalty. In this webinar VoltDB and Full 360 present a case study of the fast data infrastructure developed for one of the largest and most successful loyalty programs in the world.

Using a Fast Operational Database to Build Real-time Streaming Aggregations

Simplicity, accuracy, speed; these are three things everyone wants from their data architecture. Join this webinar presented by Behzad Pirvali, Performance Architect at MaxCDN and Peter Vescuso, CMO at VoltDB to learn how MaxCDN used VoltDB, the world’s fastest operational DB with fast data pipeline, to reduce the number of managed environments by 2/3 times with 1/10th of CPU cycles required with alternative solutions. All while achieving 100% billing accuracy on 32 TB of daily web server data.

Stonebraker Says: OLTP RDBMSs are the Right Tool for Fast + Big Data

In the third and final “Stonebraker Says” session, Dr. Stonebraker explained why optimizing fast data is the modern OLTP problem – and how an OLTP solution can help you extract the most value out of that data with extensions to main memory, support for streaming, and larger-than-memory applications.

How to Build Real-Time Streaming Analytics with an In-memory, Scale-out SQL Database

In this webinar Ryan Betts, CTO at VoltDB, will explain why streaming aggregation is a key to streaming analytics. He will also address how SQL can be used in combination with streaming aggregation, and the benefits of up-to-date analytics for per-event transactions and insights.

Understanding the Operational Database Infrastructure for IoT and Fast Data

Join this webinar as Ryan Betts, CTO of VoltDB, describes several data-as-a-service reference architectures for IoT and discuss a real use case highlighting how an in-memory operational database simplified a large-scale enterprise architecture to handle real-time data for IoT -- faster and smarter.

VoltDB and HP Vertica Present: Tapping Big and Fast Data – Achieving the Competitive Edge

Listen to Walt Maguire, Chief Field Technologist of HP Vertica and Ryan Betts, CTO of VoltDB discuss the Fast + Big Data challenge, and new approach required for both corporate data architectures and the data management systems that enable them.

The Expert Guide to Fast Data

Dr. Michael Stonebraker will share his "one-size-doesn’t-fit-all" perspective when it comes to picking the right tool for the job. He will explain the fast data stack, why traditional RDBMS’s fall short and how a modern in-memory SQL, ACID compliant, database with a scale-out architecture is the right choice for enabling fast data applications. Then John Hugg provides the “proof in the pudding” with a step-by-step review of his Unique Devices application, which performs real-time analytics on fast moving data. It's a representative implementation of the speed layer in the Lambda Architecture with the logic captured in just 30 lines of code.

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