Data pipeline automation is revolutionizing the way organisations handle data.
This new approach to data management is challenging the traditional modern data stack, which relied on a series of disparate tools to handle different aspects of data processing. With data pipeline automation, organizations can simplify their data stack, relying on a single tool to manage the entire process.
This shift will allow businesses to focus on insights and decision-making, rather than spending time wrangling data. As a result, data pipeline automation will become the key component of the post-modern data stack.
In this episode of the EM360 Podcast, Analyst Christina Stathopoulos speaks to Sean Knapp, Founder and CEO at Ascend.io, and we’re here to talk about:
- Solving data stack challenges
- Automation in data pipelines
- What the ultimate solution will be
Ascend is the leader in Data Pipeline Automation for building the world’s most intelligent data pipelines. The Ascend platform automatically detects, manages, and propagates change across your data ecosystem. The Ascend control plane enables customers to automatically maintain data integrity, assure data accuracy, and prevent errors. Customers automate up to 90% of repetitive data engineering and reduce infrastructure costs, with one place for end-to-end observability and automated lineage tracing. Customers also accurately cost their data products with metadata-driven insights into compute and team resources used across their landscape. Ascend partners at every step of the data journey with product innovation and expert support that frees customers to focus on achieving goals. Learn more at Ascend.io or follow us @ascend_io.
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