Are you interested in efficient Spark Streaming ? Do you want to learn about Blockchain and how it operates? Join this Datapalooza meetup for talks by Andrei Muraru and Dave Gorman to learn more!
Spark Structured Streaming provides the means to express streaming computations the same way as it would be made with static data. The built-in engine is incrementally and continuously updating the final results as streaming data continues to arrive. We’ll cover how a real life implementation of Spark Structured Streaming on top of a Hadoop Cluster is helping a big online retailer to analyse clickstream data and aggregate it with customer history information.
Andrei Muraru is a Solution Architect at Bigstep. He has designed and implemented complex big data projects for more than 4 years. Currently, he is focused on large-scale real-time implementations. He is helping customers begin their journey with big data workloads by providing meaningful insights on the products and services that are appropriate for their use case.
Blockchain is a shared, replicated ledger. Its reach is wider than just crypto-currencies, as it provides the foundation for a new generation of transactional applications that establish trust and transparency, while streamlining business processes. Come along to this session to find out more about Blockchain and see it in action, and discover the future plans that IBM and the Linux Foundation are building for Blockchain.
Dave Gorman has worked in the IT industry for 26 years. He is currently part of the IBM Europe technology team, specialising in blockchain, and is based at the Hursley Laboratory in Hampshire. The team is the centre of blockchain client enablement worldwide for IBM. In this role, Dave works with customers across a broad spectrum of industries and use-cases, including the Financial Services Sector, enabling them in their understanding of blockchain and how they can best make use of the technology within their respective industries.