TileDB workshop: Fast and easy LiDAR data management with cloud-native arrays скачать в хорошем качестве

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 hello@tiledb.com for free credits.