Past Meetup

Free Workshop: GPU-Accelerated Interactive Exploratory Big Data Analysis

This Meetup is past

16 people went

Details

Objective:

Data analysts and data scientists are struggling with a data scale problem that continues to grow, in multiple directions: individual tables with billions of rows, joins across dozens of tables, and more complex data types like spatiotemporal. OmniSci's open source GPU database and Immerse visualization platform is able to leverage those GPUs to execute SQL queries and render complex visualizations with billions of rows in milliseconds.

Brought to you by AICamp and OmniSci (formerly MapD), the free half-day event is for developers, data analysts and data scientists of all skill level to come together to learn how to accelerate and scale data analysis, data visualization, with big data. The event features a blend of tech talks, code labs, discussions, demos and networking.

Details and RSVP: https://www.eventbrite.com/e/workshop-gpu-accelerated-interactive-exploratory-big-data-analysis-tickets-50706333007

Schedule:
8:30am: Checkin/social
9:00am: Intro: Big data with instant query results and interactive visualization and OmniSci.
9:30am: Deep dive: building blocks of analytics database and OmniSci architect.
10:15am: User case: Apache Calcite architect on SQL query planning and optimization
10:45am: demo/code lab:
* Analyze massive spatio-temporal (location & time) data with different charts and SQL queries using geospatial functions.
*Visualize and explore raw datasets for feature selection, model training, and model validation using GPU data frame in a machine learning pipeline using Python libraries and Jupyter Notebook.

Speakers:
● Julian Hyde, Creator of Apache Calcite and Architect at Looker
● Vraj Pandya, Backend Engineer at OmniSci
● Veda Shankar, Senior Developer Advocate at OmniSci

Details and RSVP: https://www.eventbrite.com/e/workshop-gpu-accelerated-interactive-exploratory-big-data-analysis-tickets-50706333007