Every organization needs to be able to use data to answer questions about their business. The trouble is that the data is usually spread across a wide and shifting array of systems, from databases to dashboards. The other challenge is that even if you do find the information you are seeking, there might not be enough context available to determine how to use it or what it means. Castor is building a data discovery platform aimed at solving this problem, allowing you to search for and document details about everything from a database column to a business intelligence dashboard. In this episode CTO Amaury Dumoulin shares his perspective on the complexity of letting everyone in the company find answers to their questions and how Castor is designed to help.
Hightouch is the leading Reverse ETL platform. Your data warehouse is your source of truth for customer data. Hightouch syncs this data to the tools that your business teams rely on. Hightouch has a catalog of flexible destinations including Salesforce, HubSpot, Zendesk, NetSuite, and ad platforms like Facebook or Google. Hightouch is built for data engineers and is a natural extension to the modern data stack with out-of-the-box integrations with your favorite tools like dbt, Fivetran, Airflow, Slack, PagerDuty, and DataDog.
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Satori created the first DataSecOps solution which streamlines data access while solving the most difficult security and privacy challenges. The Secure Data Access Service is a universal visibility and control plane across all data stores, allowing you to oversee your data and its usage in real-time while automating access controls. The service maps all of the organization’s sensitive data and monitors all data flows in real-time across all data stores. Satori enables your organization to replace cumbersome permissions with streamlined just-in-time data access workflows. It acts as a universal policy engine for data access by enforcing access policies, masking or anonymizing data, and initiating off-band access workflows.
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- Hello and welcome to the Data Engineering Podcast, the show about modern data management
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- Are you bored with writing scripts to move data into SaaS tools like Salesforce, Marketo, or Facebook Ads? Hightouch is the easiest way to sync data into the platforms that your business teams rely on. The data you’re looking for is already in your data warehouse and BI tools. Connect your warehouse to Hightouch, paste a SQL query, and use their visual mapper to specify how data should appear in your SaaS systems. No more scripts, just SQL. Supercharge your business teams with customer data using Hightouch for Reverse ETL today. Get started for free at dataengineeringpodcast.com/hightouch.
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- Your host is Tobias Macey and today I’m interviewing Amaury Dumoulin about Castor, a managed platform for easy data cataloging and discovery
- How did you get involved in the area of data management?
- Can you describe what Castor is and the story behind it?
- The market for data catalogues is nascent but growing fast. What are the broad categories for the different products and projects in the space?
- What do you see as the core features that are required to be competitive?
- In what ways has that changed in the past 1 – 2 years?
- What are the opportunities for innovation and differentiation in the data catalog/discovery ecosystem?
- How do you characterize your current position in the market?
- Who are the target users of Castor?
- Can you describe the technical architecture and implementation of the Castor platform?
- How have the goals and design changed since you first began working on it?
- Can you talk through the workflow of getting Castor set up in an organization and onboarding the users?
- What are the design elements and platform features that allow for serving the various roles and stakeholders in an organization?
- What are the organizational benefits that you have seen from users adopting Castor or other data discovery/catalog systems?
- What are the most interesting, innovative, or unexpected ways that you have seen Castor used?
- What are the most interesting, unexpected, or challenging lessons that you have learned while working on Castor?
- When is Castor the wrong choice?
- What do you have planned for the future of Castor?
- From your perspective, what is the biggest gap in the tooling or technology for data management today?
- Monte Carlo