Alation

DECEMBER 7, 2021

Alation and Soda are excited to announce a new partnership, which will bring powerful data-quality capabilities into the data catalog. Soda’s data observability platform empowers data teams to discover and collaboratively resolve data issues quickly. Do we have end-to-end data pipeline control?

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IBM Journey to AI blog

DECEMBER 16, 2022

It seamlessly integrates with IBM’s data integration, data observability, and data virtualization products as well as with other IBM technologies that analysts and data scientists use to create business intelligence reports, conduct analyses and build AI models.

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IBM Journey to AI blog

JULY 13, 2023

To measure and maintain high-quality data, organizations use data quality rules, also known as data validation rules, to ensure datasets meet criteria as defined by the organization. Additional time is saved that would have otherwise been wasted on acting on incomplete or inaccurate data.

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DagsHub

AUGUST 23, 2024

Data quality is crucial across various domains within an organization. For example, software engineers focus on operational accuracy and efficiency, while data scientists require clean data for training machine learning models. Without high-quality data, even the most advanced models can't deliver value.

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ODSC - Open Data Science

JANUARY 9, 2024

Data engineers act as gatekeepers that ensure that internal data standards and policies stay consistent. Data Observability and Monitoring Data observability is the ability to monitor and troubleshoot data pipelines.

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Precisely

JULY 15, 2024

Data domain teams have a better understanding of the data and their unique use cases, making them better positioned to enhance the value of their data and make it available for data teams. With this approach, demands on each team are more manageable, and analysts can quickly get the data they need.

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Pickl AI

MARCH 19, 2025

Summary: Data engineering tools streamline data collection, storage, and processing. Learning these tools is crucial for building scalable data pipelines. offers Data Science courses covering these tools with a job guarantee for career growth. Below are 20 essential tools every data engineer should know.

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