May 9th-11th, 2023

Data Engineering & Big Data Track

Learn the latest models, advancements, and trends from the top practitioners and researchers behind Data Analytics
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Big Data has seen rapid advances in recent years. With some of the sharpest minds in data science presenting, learn the latest techniques and processes to analyze raw data, be able to automate data into mechanical processes and algorithms, and hear use-cases focusing on how  data can be used to optimize business performance.

This focus area will cover many of the techniques for drawing conclusions and insights from raw data. You’ll learn from leading experts in the field and complete the conference with an understanding of how more efficiently and accurately analyze data by demonstrating your knowledge in SQL, Python and Data Storytelling.

Some of Our Current Data Engineering & Big Data Speakers

Managing Director, InnovationBlueprint Technologies (BPCS)

Gary Nakanelua

Gary Nakanelua is a professional technologist with over 17 years of experience and the author of Experiment or Expire. Gary is the Managing Director of Innovation at Blueprint, a data intelligence company based in Bellevue, WA. He’s responsible for the experimentation and creation of Blueprint’s transformative solutions and accelerators. With his diverse background, Gary brings a different perspective to problems that businesses are facing today to create quantifiable solutions driven through a high level of collaborative thought processing, strategic planning, and cannibalization.

Streamlining Your Streaming Analytics with Delta Lake & Rust(Talk)

Software Engineer, Co-FounderImmerok

Timo Walther

Timo Walther is a long-term member of the management committee and among the top 5 committers in the Apache Flink project. He studied Computer Science at TU Berlin and participated in the Database Systems and Information Management Group. Timo worked as a software engineer and lead of the SQL team at Ververica. In Flink, he is working on various topics in the Table & SQL ecosystem that aims to make stream processing accessible for everyone. As a Co-Founder of Immerok, he is building a new, fully managed Apache Flink cloud service for real-time stream processing applications at any scale.

CDC Stream Processing with Apache Flink(Talk)

Senior Data ScientistBoomi

Swagata Ashwani

Swagata is a Data Professional with over 6 years experience in Healthcare, Retail and Platform Integration industry. She is an avid blogger and writes about state of the art developments in the AI space. She is particularly interested in Natural Language Processing, and focuses on researching how to make NLP models work in practical setting. In her spare time, she loves to play her guitar, sip masala chai and find new spots for doing Yoga. Connect with her here – https://www.linkedin.com/in/swagata-ashwani/

Creating a Custom Vocabulary for NLP tasks using exBERT and spaCY(Tutorial)

Senior Staff ML EngineerLyft

Han Wang

Han Wang is the tech lead of Lyft Machine Learning Platform, focusing on distributed computing solutions. Before joining Lyft, he worked at Microsoft, Hudson River Trading, Amazon and Quantlab. Han is the creator of the Fugue project, aiming at democratizing distributed computing and machine learning.

Why Dataframe is not Always the Best Option for Distributed Computing(Talk)

Head of DataCapsule

Elliott Cordo

Elliott is an expert in data engineering, data warehousing, information management, and technology innovation with a passion for helping transform data into powerful information. He has more than a decade of experience implementing cutting-edge, data-driven applications. He has a passion for helping organizations understand the true potential in their data by working as a leader, architect, and hands-on contributor.

Elliott has built nearly a dozen cloud-native data platforms on AWS, ranging from data warehouses and data lakes, to real-time activation platforms in companies ranging from small startups to large enterprises.

Enabling Data Mesh With Even Driven Data Architecture(Talk)

Product ManagerLyft

Mihir Mathur

Mihir Mathur is the lead Product Manager for Machine Learning at Lyft, where he works on building ML and AI tools that power automated intelligent decisions across realtime pricing, ETAs, fraud detection, safety classification etc. In the past Mihir has worked on building delightful products for millions of users at Quora, Houzz, and Thomson Reuters. Mihir graduated magna cum laude from UCLA with a Bachelor’s and Master’s in Computer Science.

A Systematic Approach for Building Full-Spectrum Model Monitoring(Talk)

Co-Founder | Co-author, Advanced Analytics with PySparkLooppanel | O'Reilly Media

Akash Tandon

Akash Tandon is co-founder and CTO of Looppanel where he builds software to help product teams record, store and analyze user research data. He is a co-author of Advanced Analytics with PySpark, published by O’Reilly. Previously, Akash worked as a senior data engineer at Atlan, SocialCops and RedCarpet where he built data infrastructure for enterprise, government and finance use-cases. He has also been a participant and mentor in the Google Summer of Code program with the R Project for Statistical Computing.

Introduction to Large-scale Analytics with PySpark(Workshop)

Senior Software EngineerAlteryx Innovation Labs

Freddy Boulton

Freddy Boulton started his career as a data scientist for Nielsen where he built predictive models of television viewing behavior to make television ratings more accurate. This gave him a first hand-view of one of the biggest challenges faced by industry data scientists – being able to easily communicate and share machine learning models with stakeholders. He is currently solving that problem by working on Gradio, an open-source python library that lets data scientists create fully interactive demos of machine learning models with just a few lines of code.

A Practical Tutorial on Building Machine Learning Demos with Gradio(Workshop)

More talks, hands-on workshop and training sessions
See all sessions

You Will Meet

  • Some of the world’s best data science speakers

  • The brains and authors behind today’s most popular open data science tools, topics, and languages

  • Hundreds of attendees focused on data science

  • Chief Data Scientists

  • Thought leaders working in data science

  • Data Scientists and Analysts

  • Software Developers

  • CEOs, CTOs, CIOs

  • Data Visualization professionals

  • Venture Capitalists and Investors

  • Startup Founders and Executives

  • Attendees from Healthcare, Finance, Education, Business, Intelligence, and other industries

  • Big data and data science innovators

Why Attend?

Several of the best minds and biggest names in data science will be presenting

Network with attendees from leading data science companies to learn how others are tackling similar problems

Gain quality training in the hottest data science topics, tools, and languages

Learn the latest in data science from industry leaders without having to make room in the budget — tickets are surprisingly inexpensive

What You'll Learn

Talks & Workshops on these topics:

Topics

  • Data Analytics Systems

  • Building Advanced Analytics and Data Science Capabilities

  • Analytics with Graph Representations

  • Data Analytics with Kubernetes and OpenShift

  • Distributed Analytical Database

  • Sentiment Analysis

  • Analytics: Challenges and  Opportunities

  • Infrastructure Slowing Your Data Analytics and AI Projects

  • Data Analytics Use Cases

Models

  • BERT

  • XLNet

  • GPT-2

  • Transformers

  • Word2Vec

  • Deep Learning Models

  • RNN & LSTM

  • Machine Learning Models

  • ULMFiT

  • Transfer Learning

Tools 

  • Tensorflow 2.0

  • Hugging Face Transformers

  • PyTorch

  • Theano 

  • SpaCy

  • NLTK

  • AllenNLP

  • Stanford CoreNLP

  • Keras

  • FLAIR 

ODSC EAST 2023 | May 9th-11th

Register Now & Save 60%

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