From a parquet file's structure to designing and developing BD architectures

-- What? --
After our prior meetups about ML, this is our community's first meetup about Big Data and it's going to be a blast!
We have 3 amazing speakers from Amazon, Couchbase and Elastic that will deep-dive in to columnar formats, discuss design and development of big data architecture and demonstrate new solutions around Operational Analytics.

This is a hands-on technical meetup.

-- Agenda --
18:00-18:20 Gathering and Networking
18:20-18:50 Deep dive into columnar formats / Daniel Haviv
, Amazon
18:50-19:20 Designing and developing a big data architecture using Couchbase / Lior King, Couchbase
19:20-19:40 Snacks, beer and networking
19:40-20:10 Elasticsearch's latest solutions around Operational Analytics / Dov Hershkovitch, Elastic
20:10-20:30 Networking

-- About the talks --

• Deep dive into columnar formats.
  In this session you will understand how columnar formats achieve superior performance for analytics workloads. We will analyze a Parquet file’s structure and share some best practices for better performance and storage efficiency.
  Daniel Haviv, Big Data Specialist Solutions Architect @ Amazon Web Services.

• Designing and developing a big data architecture using Couchbase.
  In this presentation we’ll talk about Couchbase’s architecture and how it fits big data use cases. We’ll also see some code in Java/C#/Python of how to use it and demonstrate it live.
  Lior King, Senior Solution Architect @ Couchbase

• Elasticsearch's latest solutions around Operational Analytics.
  We will get an early preview of ES's new solutions released with 6.5.
  We'll demonstrate how #logs, #metrics, and #APM data fits in a single new solution for better performance monitoring and faster troubleshooting across IT infrastructure.
  Dov Hershkovitch, PM for Logging and Metrics @ Elastic

-- RSVP - Space is limited! --

-- The talks are in Hebrew --

-- A big thanks to Amobee for hosting us!! --