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

Data Engineering Podcast

Crux was built to reduce the total cost of acquisition and ownership for integrating external data, offering a fully managed service for delivering those data assets in the manner that best suits your infrastructure. Modern data teams are dealing with a lot of complexity in their data pipelines and analytical code.

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Building Data Pipelines That Run From Source To Analysis And Activation With Hevo Data

Data Engineering Podcast

Building reliable data pipelines is a complex and costly undertaking with many layered requirements. In order to reduce the amount of time and effort required to build pipelines that power critical insights Manish Jethani co-founded Hevo Data. Data stacks are becoming more and more complex.

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Data Ops: Transforming the Way We Handle Data

Ascend.io

DataOps, short for Data Operations, integrates data engineering, data quality, and management with agile and DevOps practices. This methodology emphasizes automation, collaboration, and continuous improvement, ensuring faster, more reliable data workflows. Let’s dive in! Key Components of DataOps 1.

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Deploying AI to Enhance Data Quality and Reliability

Ascend.io

AI-driven data quality workflows deploy machine learning to automate data cleansing, detect anomalies, and validate data. Integrating AI into data workflows ensures reliable data and enables smarter business decisions. Data quality is the backbone of successful data engineering projects.

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DataOps Framework: 4 Key Components and How to Implement Them

Databand.ai

The DataOps framework is a set of practices, processes, and technologies that enables organizations to improve the speed, accuracy, and reliability of their data management and analytics operations. The core philosophy of DataOps is to treat data as a valuable asset that must be managed and processed efficiently.

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Metadata: What Is It and Why it Matters

Ascend.io

This is what managing data without metadata feels like. Often described as “data about data,” it is the unsung hero in data management that ensures our vast amounts of information are not only stored but easily discoverable, organized, and actionable. Chaos, right? What is Metadata?

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Understanding The Immune System With Data At ImmunAI

Data Engineering Podcast

Summary The life sciences as an industry has seen incredible growth in scale and sophistication, along with the advances in data technology that make it possible to analyze massive amounts of genomic information. RudderStack’s smart customer data pipeline is warehouse-first. Closing Announcements Thank you for listening!

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