PROGnostications
Welcome to the CTA Blog, featuring how-to’s, tool insights, partner spotlights, and more (including from PROG, our mascot).
Scroll through our latests posts below or search for a topic here:
PAD 2.0: Working with Data isn’t just for SQL Users Anymore
New PAD features that allow tech-friendly and tech-novice users to do key tasks in PAD.
Team Spotlight: Ben Deverman
Meet Ben Deverman, a Partner Success Manager (and person behind BenDesk!).
Meet Hopper!
Hopper lets you move data between tools — like VAN and Hustle — without code or configuration. You can also link Hopper syncs to CTA’s data warehouse, PAD, if you need to store, analyze, transform, or build reports.
*New* Clarity Campaign Labs - Model Samples
Announcing our new partnership with Clarity Campaign Labs, offering PAD users access to their extensive national model suite.
Notes From BenDesk: Automate and Schedule Queries
Is there a way for me to automate and schedule my queries in PAD?
Partner Spotlight: Kentucky State Tables
Celebrating our partner’s wins in Kentucky in 2023!
Notes from BenDesk: Accessing public or CTA-shared datasets
Is there an easy way to securely access public or CTA-shared datasets directly within my PAD project?
5 Integrations We’re Thankful For
As our integrations grow, we wanted to highlight a few we’re grateful for.
Notes from BenDesk: User Permissions
As a PAD admin, is there a simple way for me to review or double-check users and their permissions on a dataset or table?
*New* Query Usage and Spending Dashboard
Answering the question of how much money you’re spending on your queries.
Empowering The Next Generation Of Progressive Data Leaders
Our partnership with Generation Data
Notes from BenDesk: Connecting PAD to Python
Is it possible to connect PAD to Python? If so, how do I set this up and authenticate access?
Takeaways from the Google Cloud Next Conference
Our engineers share themes, takeaways, and tips from the Google Cloud Next Conference.
Notes from BenDesk: Incorporating Programming Elements
Is it possible to incorporate programming elements like variable settings, IF statements, or loops into my SQL queries in BigQuery?
