Unpacking the ArcGIS data engineering toolbox
The essential – albeit tedious – task of data cleaning is estimated to consume more than 80% of a GIS analyst’s day. Take the time back to focus on the analysis you love, with Wayne, Josh and Ta’s top tips for constructing, formatting and integrating raw GIS data – in record time. Plus, learn how to develop automated and repeatable workflows for taking your data to the next level with temporal and elevation attributes for 2D, 3D and 4D analysis.
Turn raw location fields into analysis-ready data and incorporate information from multiple sources to enable, extract, transform and enrich location values.
Watch Esri unveil the latest ArcGIS tools for data engineering at the 2021 Dev Summit and see practical examples of the tools in action.
Leverage the ArcGIS Data Reviewer extension for a more efficient and consistent quality control process.
Get started today with this comprehensive guide to using the ArcGIS API for Python to streamline the data engineering process.
Automate workflows across all areas of your organisation with the latest features from Esri's 2021 Dev Summit.
Simplify the experience of data clean-up, identify an correct imperfections and create variables for use in analysis workflows.
From forecasting catastrophic food droughts, to formulating strategies for the mass deployment of foreign aid, Linda Peters has combatted some of this generation's greatest challenges.