Speaker

Theo Lebrun

Theo Lebrun

Senior Data Engineer at Ippon Technologies

New York City, New York, United States

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Theo Lebrun is a seasoned Data Engineer and Technology Consultant at Ippon Technologies with a vast experience in cloud computing, databases, and software development. With expertise in a range of tools and technologies including AWS, Kafka, Databricks, and Python, Theo has helped numerous clients optimize their data pipelines meeting and exceeding their goals.

Theo's technical expertise are matched by his passion for sharing his knowledge with others. He has authored multiple blog posts covering and breaking down technical topics such as high-scaled streaming development with Kafka or Databricks Tips and Tricks. He has also presented in multiple conferences such as DevNexus and RVATech Data Summit.

Area of Expertise

  • Finance & Banking
  • Information & Communications Technology

Topics

  • data engineering
  • Data Platform
  • Data Warehousing
  • Data Science & AI
  • Databricks
  • Spark
  • Apache Spark
  • All things data
  • Data Lakehouse
  • Big Data
  • AWS S3
  • java

Creating a Modern Web App Using Spring Boot and Vue.js with JHipster

In this talk, I will demonstrate how JHipster can be used to generate in few minutes a modern Web app that uses Spring Boot and Vue.js. JHipster will provide everything you need to start a complete modern Web app and take it to production in a very short amount of time. On top of that, the back-end is built as a high-performance and robust Java stack with Spring Boot. More details can be found here: https://www.jhipster.tech/.

Build next generation Big Data applications with Delta Lake

Delta Lake (https://delta.io/) is an open-source storage framework that enables building a Lakehouse architecture with compute engines including Spark and also APIs for Scala/Java, Python and Rust. A Lakehouse is a modern data architecture that reimagines data warehouses in response to the availability of affordable and highly reliable storage solutions.

Delta Lake provides key benefits and will fit perfectly in your Big Data architecture:
- ACID Transactions
- Schema Evolution
- Time Travel
- Audit History
- Handle petabyte-scale tables
- Platform Agnostic (Cloud, On-prem, or locally)
- DML operations through its SQL and Spark API

In this presentation, I will provide an introduction to Delta Lake, explaining how it works, and its key features and benefits. Whether you're a data scientist, data engineer, or business analyst, this session is for you.

Craft your own Generative AI Chatbot with Amazon Bedrock

In this compelling session, dive deep into the fascinating world of Artificial Intelligence and learn how to craft your very own Generative AI Chatbot using the powerful capabilities of Amazon Bedrock.

Your Chatbot will be able to answer questions based on your own documents. Whether you're a data scientist, data engineer, or business analyst, this session is for you!

By the end of this session, you'll have a comprehensive understanding of the tools and techniques required to build a Generative AI Chatbot on Amazon. Whether you're a seasoned developer or someone just starting their AI journey, this talk equips you with the skills to unleash your creativity and innovation in the realm of Artificial Intelligence.

Devnexus 2023 Sessionize Event

April 2023 Atlanta, Georgia, United States

Theo Lebrun

Senior Data Engineer at Ippon Technologies

New York City, New York, United States

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