Join us to talk about a Hadoop data lake built on a 3 nodes Raspberry PI cluster and continue with an update on Elasticsearch and Solr use cases and their differences. RSVP here to save your front row spot on September 26, starting at 18:30!
- 18:30 – 19:00 Registration
- 19:00 – 19:40 Hadoop Data Lake setup, Andrei Daneasa @ EndavaAndrei is working in IT for more than 19 years. He started from the development area and moved gradually towards architecture, BI, Analytics and Big Data. He is Lead Data Consultant in Endava for almost 3 years. His talk will be focused on processing and visualization of data on a Raspberry PI 3-node Hadoop cluster.
- 19:40 – 20:20 M Elasticsearch and Solr for Search and Real-Time Analytics, Radu Gheorghe @ SematextElasticsearch and Solr are used nowadays for a variety of use-cases. Originally, it was product search, but even that goes beyond pure keyword search: autocomplete, did-you-mean, facets, recommendations, more-like-this are all features found in E-commerce. Then there’s time-series analytics, meant to derive insights from logs, metrics, social media, and everything else with a timestamp.
We will begin with a demo to introduce both search engines and see where they’re similar and where they differ. Then, we’ll discuss different use-cases and how you can solve them using Elasticsearch and/or Solr.
- 20:20 – 21:00 Networking
RSVP here to confirm your attendance to September meetup: Hadoop on Raspberry PI, Elasticsearch vs Solr.