Past Meetup

State of Modern Enterprise Data Science with Big Data

This Meetup is past

68 people went

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Details

Agenda:

6-6:25 pm - Doors Open (Drinks + Snacks)

6:25-6:30 - Announcements + Opening Remarks

6:30-7:30 pm - Session & Workshop Intro

7:30-8:00 pm - Fireside chat

8:00-8:30 pm - Ask an Architect + Mingling (Drinks + Snacks)

Overview

Join us for insightful conversations and delicious beers with Sr. Architect, Kevin Blaisdell, from Qubole where we will cover the state of Enterprise Data Science in the retail industry today, followed by a deep dive into real world use case of a big data recommendation engine. The presentation will focus on 2018 lessons in how companies are adopting different tools, big data engines, and cloud technology to be successful.

Learn how successful organizations have operationalized big data in the cloud and the risks to avoid. We'll explore the best practices and challenges of scaling out big data operations in the cloud in order to be able to allow for new machine learning features and advanced analytics products. We will end the presentation with a real world demo using Spark Notebooks to create an end-to-end ML pipeline using NLP to predict sentiment in realtime. The example will focus on how to overcome the challenges of bringing together technologies such as Spark, AirFlow, ML packages, iPython Notebooks, and cloud infrastructure to create a scalable data science application.

Session 1:

Speaker - Kevin Blaisdell

Title - Solutions Architect

About -

Fireside Chat:

Discussion and lessons learned to being a successful data scientist in modern enterprises.

Moderator

Holden Ackerman, Manager of Developer Marketing, Qubole