Skip directly to content

Webinars

Upcoming Webinars

Developers increasingly are building dynamic, interactive real-time applications on fast streaming data to extract maximum value from data in the moment. To do so requires a data pipeline, the ability to make transactional decisions against state, and an export functionality that pushes data at high speeds to long-term Hadoop analytics stores like Hortonworks Data Platform (HDPTM). This enables data to arrive in your analytic store sooner, and allows these analytics to be leveraged with radically lower latency.

Past Webinars

How to Build Streaming Data Applications: Evaluating the Top Contenders

Building applications on streaming data has its challenges. If you’re a developer trying to use programs like Apache Spark or Storm to build apps, this webinar will explain the benefits and downfalls of each solution and how to choose the right tool for your next streaming data project.

VoltDB and Hortonworks Present: Powering Fast Data and the Hadoop Ecosystem with the New VoltDB V5.0

Developers increasingly are building dynamic, interactive real-time applications on fast streaming data to extract maximum value from data in the moment. To do so requires a data pipeline, the ability to make transactional decisions against state, and an export functionality that pushes data at high speeds to long-term Hadoop analytics stores like Hortonworks Data Platform (HDPTM). This enables data to arrive in your analytic store sooner, and allows these analytics to be leveraged with radically lower latency.

Addressing Fast Data and the New Enterprise Data Architecture

Big Data is transforming the way enterprises interact with information, but that’s only half the story. The real innovations are happening at the intersection of Fast Data and Big Data. Why? Because data is fast before it’s big. Fast Data is generated by the explosion of data created by mobile devices, sensor networks, social media and connected devices – the Internet of Things (IoT).

Integrating Fast and Big Data Solutions for Streaming Applications

Writing applications on top of streaming data requires both scalable high throughput event processing, as well as efficient large volume storage. At scale, this requires combining best-in-class tools to create a complete solution. Real-time applications and the increasingly fast data streams created by personalized devices, IoT, and M2M, exceed the processing and storage capacity of legacy databases.

Fast Data and Real-Time Analytics in Telecom – Enhancing Customer Engagement

VoltDB CTO, Ryan Betts and Flytxt CTO, Prateek Kapadia discuss how the modern telecommunications data center environment must cater to billions of high frequency events daily. Technology and Business teams are faced with a challenge to architect and manage analytics platforms that extract optimum value from these event streams. Combining fast data with the advanced big data analytics through mining large volumes of historical data is increasingly becoming a key technology enabler for competitive differentiation and sustained economic value generation. Tapping into the value of data in real-time – the moment it arrives – is a significant opportunity but it requires the ability to track billions of events, generate real-time triggers from those billions of events reflecting the contextual usage and deviation in defined behavior, as well as to take right action at right time through the right channel instantaneously.

Big Data, Fast Data: The Need for In-Memory Database Technology

In this webcast, CMO Peter Vescuso and Dr. Michael Stonebraker discuss the new corporate data architecture and the necessary technology components for facing this data management challenge. Listen as they discuss the “one-size-never-fits-all” perspective for developing the ideal architecture for managing, and maximizing the value of fast, big data in your organization.

Changing the Game: How deltaDNA Drives Real-Time Player Engagement

In this on-demand session, Chris Wright, co-founder and CTO of deltaDNA, and Ryan Betts, CTO of VoltDB discuss the transformative impact of micro-personalization on F2P games, the large role in-memory analytics and high-performance data management play in building modern gaming platforms – and the power of deltaDNA’s VoltDB-enabled real-time Player Relationship Management platform for maximizing player engagement across F2P games, social casino and real-money gambling.

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.

Building Fast Data Applications With Streaming Data

Listen to CTO Ryan Betts as he explains how stream processing was not designed to serve the needs of modern Fast Data applications. Employing a solution that handles streaming data, provides state, ensures durability, and supports transactions and real-time decisions is key to benefitting from fast 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.

Pages