Some Like it Hot: Choosing a System for Large-Scale Data Analysis (hosted by Data Science Milan)
There is no shortage of systems that claim to help with the analysis of large amounts of data.
There is no shortage of systems that claim to help with the analysis of large amounts of data. Under the hood, today’s popular systems have a variety of interesting and unique architectures.
In this talk, we’ll reflect on why you can never seem to find that single perfect system, and how to evaluate the capabilities of various systems through the prism of a temperature-based spectrum of use cases, from cold to hot analytics.
We’ll also share war stories and lessons learned from optimizing Druid for different kinds of use cases.
Peter Marshall (https://www.linkedin.com/in/petermarshallio/) is a Technology Evangelist at Imply (http://imply.io/), a company founded by the original developers of Apache Druid. He has 20 years of architecture experience in CRM, EDRM, ERP, EIP, Digital Services, Security, BI, Analytics, and MDM. He is TOGAF certified and has a BA (Hons) degree in Theology and Computer Studies from the University of Birmingham in the United Kingdom.
Topics: databases, time-series, real-time analytics, apache Druid.
This event will be held in English and will be streamed live via our Youtube channel (https://www.youtube.com/c/DataScienceMilan). The live streaming will be listed before the event starts.
During the event, you will be able to interact and ask questions in the embedded Youtube live chat or via the #general channel in our slack workspace. You can request an invite via our website, at the get in touch section, or by following this direct link: https://app.slack.com/client/T1K880GR0/C1K7XRKJ9.