TileDB workshop: Fast and easy LiDAR data management with cloud-native arrays
This TileDB workshop presents several demos on how a universal data management system based on multi-dimensional arrays can be a game-changer for managing, analyzing and sharing massive LiDAR data.
Follow along in Python Jupyter Notebooks hosted on TileDB Cloud to learn how to:
Ingest LAS data into 3D sparse arrays
Slice from massive datasets in seconds and visualize with popular tools
Run serverless analytics on LiDAR data using a variety of data science tools
Share arrays and code for easy reproducibility, eliminating huge downloads
Norman Barker, VP of Geospatial, and Stavros Papadopoulos, TileDB CEO and Founder, walk through the code examples.
Preparing for the workshop is quick. It’s recommended to sign up for TileDB Cloud at https://cloud.tiledb.com/ . You will get $10 of free credits upon signing up — plenty to run the tutorials, with several dollars left over for your own experiments.
Jupyter notebooks on TileDB Cloud
LiDAR quickstart: https://cloud.tiledb.com/notebooks/de...
Contents of this video
00:00 – Welcome
02:25 – Background on TileDB
15:02 – LiDAR quickstart example
21:35 – Colorizing 15 million points at scale
30:21 – Parallel ingestion of 131 million points
34:10 – Demo recap
34:34 – TileDB Cloud console overview
36:39 – Q&A
About
TileDB makes data management and compute fast, easy and universal. Manage any data as multi-dimensional arrays and access with any tool at global scale.
Connect with us
Website: https://tiledb.com/
Twitter: / tiledb
LinkedIn: / tiledb-inc
Book a personalized product demo: https://tiledb.com/demo
Sign up at https://cloud.tiledb.com/auth/signup and contact [email protected] for free credits.