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Making The Total Cost Of Ownership For External Data Manageable With Crux

Data Engineering Podcast

In this episode Crux CTO Mark Etherington discusses the different costs involved in managing external data, how to think about the total return on investment for your data, and how the Crux platform is architected to reduce the toil involved in managing third party data. Tired of deploying bad data?

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Making Data Pipelines Self-Serve For Everyone With Shipyard

Data Engineering Podcast

Summary Every part of the business relies on data, yet only a small team has the context and expertise to build and maintain workflows and data pipelines to transform, clean, and integrate it. RudderStack’s smart customer data pipeline is warehouse-first. What are the main goals that you have for Shipyard?

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A Guide to Data Pipelines (And How to Design One From Scratch)

Striim

Data pipelines are the backbone of your business’s data architecture. Implementing a robust and scalable pipeline ensures you can effectively manage, analyze, and organize your growing data. We’ll answer the question, “What are data pipelines?” Table of Contents What are Data Pipelines?

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How To Use Airbyte, dbt-teradata, Dagster, and Teradata Vantage™ for Seamless Data Integration

Teradata

Register now Home Insights Data platform Article How To Use Airbyte, dbt-teradata, Dagster, and Teradata Vantage™ for Seamless Data Integration Build and orchestrate a data pipeline in Teradata Vantage using Airbyte, Dagster, and dbt. Assets are central to Dagster's data management and orchestration.

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Snowflake Startup Challenge 2025: Meet the Top 10

Snowflake

Sherloq Data management is critical when building internal gen AI applications, but it remains a challenge for most companies: Creating a verified source of truth and keeping it up to date with the latest documentation is a highly manual, high-effort task. The judges will deliberate live before naming the 2025 Grand Prize winner.

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Using Product Driven Development To Improve The Productivity And Effectiveness Of Your Data Teams

Data Engineering Podcast

In this episode he shares his thoughts on the strategic and tactical elements of moving your work as a data professional from being task-oriented to being product-oriented and the long term improvements in your productivity that it provides. Modern data teams are dealing with a lot of complexity in their data pipelines and analytical code.

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The Challenge of Data Quality and Availability—And Why It’s Holding Back AI and Analytics

Striim

If data is delayed, outdated, or missing key details, leaders may act on the wrong assumptions. Regulatory Compliance Demands Data Governance: Data privacy laws such as GDPR and CCPA require organizations to track, secure, and audit sensitive information. Start Your Free Trial | Schedule a Demo