This is a meetup for users of Elastic Search. We will share experiences and war stories of building infrastructure and productionizing data science using Elastic Search.
Who should attend:
- Data engineers
- Data and ML engineering teams from companies actively using Elastic Search
- Individuals and companies who are considering use of Elastic Search and want to hear from experiences of others
Event details:
Date: Thursday, 4 July
Time: 6:30 PM - 8:00 PM
Venue: House number 2699, 19th Main, 5th cross, HAL 2nd stage, Indiranagar, Bangalore - 560008
This event is free to attend. RSVP by registering for a ticket below.
About the organizers:
This event is curated and produced by The Fifth Elephant. The Fifth Elephant is a growing community of data engineers, ML engineers, data scientists and stakeholders invested in the data ecosystem.
The Fifth Elephant thanks Elastic for sponsoring this meetup and supporting The Fifth Elephant.
For details, contact HasGeek on info@hasgeek.com or +91-7676332020
Hosted by
The Fifth Elephant - known as one of the best data science and Machine Learning conference in Asia - has transitioned into a year-round forum for conversations about data and ML engineering; data science in production; data security and privacy practices. more
Accepting submissions till 03 Jul 2019, 11:55 PM
Not accepting submissions
Speak at this meetup. We are accepting:
- Experiences with Elastic Search for data engineering/productionizing data science.
- Stories of leveraging features of Elastic Search which are novel and will benefit other users in this meetup.
- Why pick Elastic over other tools for productionizing data science and vice-versa.
- Failure stories with Elastic Search.
Talks will be of 15-20 mins duration only.
Submit your ideas here for feedback and review.
Make a submission
Accepting submissions till 03 Jul 2019, 11:55 PM
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Hosted by
The Fifth Elephant - known as one of the best data science and Machine Learning conference in Asia - has transitioned into a year-round forum for conversations about data and ML engineering; data science in production; data security and privacy practices. more