ALTR's Data Squad is here to help all types of data users get better control and protection over their regulated data with our "data tech support squad". Application engineers, data engineers, data specialists and more can share thorny problems and find solutions from experts and the whole data ecosystem. We host heavy hitters in the industry to share quick how-to's, collaborate on how to solve real-world problems, get expert tips/tricks on applications we all use daily, and round up ideas for "getting it done."

We're prepping the next episode right now! In the meantime watch our latest episodes below...

How to use ALTR's Snowflake native app to automatically govern tables created by DBT (Featuring Snowflake)

As part of a data and analytics engineering team, we know that you are often understaffed and overburdened, facing massive backlogs from your business. On top of this, if asked to set up data access policies, manage ongoing updates to data permissions and handle data access requests, you spend a large chunk of business hours on the task instead of your primary job. We want to show you how to automate policy enforcement, save time on access management, and focus on freeing data value. No coding is required. In this episode, we demonstrate how ALTR’s new support for Snowflake native apps gives Snowflake DBAs and admins a simple, SQL-based interface to quickly scale data governance and security across multiple, disparate databases.

Is Your Cloud Migration Putting Sensitive Data Up for Grabs? (Featuring Matillion)

Consolidating your business data in cloud data warehouses is a smart move that unlocks unprecedented innovation and value. And while ETL migration partners like Matillion simplify the data migration process to get companies their data analytics-ready in no time, the need for high levels of data protection and secure access can cause significant trade-offs in data usability and sharing. This adds risk and complicates matters for analytics teams.Distributed enterprises need a thoughtful yet simpler approach to protecting sensitive data in the cloud that keeps information airtight and doesn’t slow down access and progress.

During this episode of The Data Squad, we discuss:

• The biggest challenges in securing sensitive data during a cloud migration
• The role of ETL in data governance
• How tokenization can prevent access to sensitive data while migrating to the cloud or democratizing data for analysis
• How to use ALTR and Matallion to protect sensitive fields, but also keep data useable.

How to Set Rate Limits and Reduce User Access (Featuring Snowflake)

Learn how to control the consumption of data and how to stop user access in real-time if a someone breaks protocol. This can prevent credentialed access threats to data in Snowflake and SQL injection in applications pulling data from Snowflake. Coupled with ALTR’s tokenization abilities, we show you how to build the most secure way to store and process sensitive data in Snowflake.

Tokenization vs Encryption vs One-Way Hashing (Featuring Aptitive)

In this episode, we sit down with Apititive to discuss real world use cases about the differences between tokenization vs. encryption vs. one-way hashing. We'll also discuss the benefits of tokenization and how you can implement it in Snowflake.