Data Science Dojo

OCTOBER 10, 2023

billion in 2022, and it is projected to reach approximately USD 2,575.16 IMPACT 2023- The Data Observability Summit (Virtual event – November 8) Focus on Data and AI : The summit will illuminate how contemporary technical teams are crafting impactful and performant data and AI products that businesses can rely on.

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AI AI Data Observability Artificial Intelligence 243

DagsHub

AUGUST 23, 2024

As such, the quality of their data can make or break the success of the company. This article will guide you through the concept of a data quality framework, its essential components, and how to implement it effectively within your organization. What is a data quality framework?

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Precisely

MARCH 14, 2023

Now, almost any company can build a solid, cost-effective data analytics or BI practice grounded in these new cloud platforms. eBook 4 Ways to Measure Data Quality To measure data quality and track the effectiveness of data quality improvement efforts you need data.

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IBM Data Science in Practice

NOVEMBER 28, 2022

IBM Multicloud Data Integration helps organizations connect data from disparate sources, build data pipelines, remediate data issues, enrich data, and deliver integrated data to multicloud platforms where it can easily accessed by data consumers or built into a data product.

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Precisely

FEBRUARY 9, 2024

Trusted AI Outcomes Require a Focus on Data Integrity Everyone’s talking about artificial intelligence (AI) for its unique ability to automate or accelerate user tasks, resulting in greater efficiency and productivity and a reduced dependence on manual labor. That approach assumes that good data quality will be self-sustaining.

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Alation

OCTOBER 19, 2022

Today, they have issued The Data Management Survey 23 , a report based on a survey of more than 1,200 data management end-users of 23 products (or groups of products). The survey was conducted from January to April 2022 and examined user feedback on product experience across 18 criteria.

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Data Governance Data Quality Data Lakes Data Observability 52

phData

FEBRUARY 22, 2023

Data Quality Good testing is an essential part of ensuring the integrity and reliability of data. Without testing, it is difficult to know whether the data is accurate, complete, and free of errors. Below, we will walk through some baseline tests every team could and should run to ensure data quality.

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