Welcome to our first Boston Meetup of 2024! We're kicking off the year at ElastiFlow's offices. Doors open at 5:30, talks start at 5:45, followed by pizza, drinks & networking.
Date & Time:
Wednesday, January 24th, from 5:30-7:30 pm EST
ElastiFlow Office 9th Floor: 120 Causeway St., Boston, MA 02114
From the street, look for the Rapid 7 entrance. Check in at the front desk and then take the elevator to the 8th Floor. There will be an ElastiFlow team member working the elevator up to their space on the 9th floor.
5:30 pm: Doors open; say hi, grab a seat, and eat some food.
5:45 pm: Leveraging Time Series Data Streams for Efficient Network Flow Data Storage (Robert Cowart - CEO & Co-Founder, Elastiflow)
6:30 pm: Analyzing the Boston Celtics using Python, Elasticsearch, and Kibana, followed by Q&A - Jessica Garson (Sr. Developer Advocate at Elastic)
7:00 - 7:30 pm: Networking & refreshments
Leveraging Time Series Data Streams for Efficient Network Flow Data Storage (Robert Cowart - CEO & Co-Founder, Elastiflow)
Network Flow data is not a typical time-series data source, presenting unique challenges in terms of storage and management. ElastiFlow has created an innovative method using Elasticsearch's Time Series Data Streams (TSDS) to address these challenges, enabling users to achieve up to a 70% reduction in flow data storage requirements.
In this talk we will delve into the journey of developing this solution, exploring the process that led us to the final TSDS-based approach and examining the advantages and disadvantages along the way.
Analyzing the Boston Celtics using Python, Elasticsearch, and Kibana -Jessica Garson - Sr. Developer Advocate at Elastic)
A little over a year ago, while going through a stressful time, I got into basketball to shift focus. I wanted to dive deeper and learn more about my favorite Boston Celtics team, so I built a dashboard with Elasticsearch and Kibana. This talk will show you how to load data in Elastic using Python, Elasticsearch to write queries, and Kibana to create a dashboard.