In this session, we will describe an architecture that addresses simplicity and performance in stream processing deployments, while also reducing cost. This architecture aims for fewer moving parts, fewer clusters and servers to manage, fewer network hops, higher throughput, and lower latency, as well as less custom code.
We will demonstrate the combination of stream processing and fast data store in a unified real-time data platform. We will also discuss Streaming SQL features, Python and Java support, and best practices.
Presenter
Fawaz Ghali
HazelcastFawaz Ghali is Principal Data Science Architect and the Head of Developer Relations at Hazelcast with +22 years of experience in DevRel, cloud, enterprise software development and deployment, ML/AI and real-time intelligent applications, management and leadership. He holds a PhD in Computer Science and has worked in the private sector as well as in academia and research. He has published +45 scientific peer-reviewed papers in the fields of ML/AI, data science and cloud computing on Google Scholar. Fawaz is a renowned expert with +200 talks and presentations at global events and conferences.
Presenter
Michael Goldverg
BNY MellonMichael Goldverg is a managing director and a Distinguished Engineer at Bank of NY Mellon.
Michael is working with a small group of software engineers developing complex business orchestration services for Global Fund Accounting business of the Bank.
Before joining Bank of NY Mellon, Michael served as the head of Securities Core Processing Technology (SCPP) at JP Morgan Chase. In that role, he was responsible for providing technology services to the global Securities Back Office Operations including settlements, custody and asset servicing.
Prior to JP Morgan Chase, Michael led a global OTC Derivatives Trade Processing utility at Credit Suisse. He was responsible for design, development, and deployment of the strategic derivatives processing platform as part of the broader multi-year program.
Throughout his career Michael worked in front, middle and back-office technology functions at Asset Management, Investment Banking and Custody firms.