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Data Observability Tools and Its Key Applications

Pickl AI

Data Observability and Data Quality are two key aspects of data management. The focus of this blog is going to be on Data Observability tools and their key framework. The growing landscape of technology has motivated organizations to adopt newer ways to harness the power of data.

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Unfolding the difference between Data Observability and Data Quality

Pickl AI

In this blog, we are going to unfold the two key aspects of data management that is Data Observability and Data Quality. Data is the lifeblood of the digital age. Today, every organization tries to explore the significant aspects of data and its applications. What is Data Observability and its Significance?

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How to Deliver Data Quality with Data Governance: Ryan Doupe, CDO of American Fidelity, 9-Step Process

Alation

To be clear, data quality is one of several types of data governance as defined by Gartner and the Data Governance Institute. Quality policies for data and analytics set expectations about the “fitness for purpose” of artifacts across various dimensions. Step 4: Data Sources. Step 5: Data Profiling.

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The Power of AI in Precisely Software: Accelerating Efficiency and Empowering Users

Precisely

By 2025, 80% of mainstream data quality vendors will expand their product capabilities to provide greater data insights by discovering patterns, trends, data relationships, and error resolution.

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Data integrity vs. data quality: Is there a difference?

IBM Journey to AI blog

Data quality uses those criteria to measure the level of data integrity and, in turn, its reliability and applicability for its intended use. Data integrity To achieve a high level of data integrity, an organization implements processes, rules and standards that govern how data is collected, stored, accessed, edited and used.

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Alation 2022.2: Open Data Quality Initiative and Enhanced Data Governance

Alation

This has created many different data quality tools and offerings in the market today and we’re thrilled to see the innovation. People will need high-quality data to trust information and make decisions. Alation has been leading the evolution of the data catalog to a platform for data intelligence.

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MLOps Landscape in 2023: Top Tools and Platforms

The MLOps Blog

Databricks Databricks is a cloud-native platform for big data processing, machine learning, and analytics built using the Data Lakehouse architecture. You can define expectations about data quality, track data drift, and monitor changes in data distributions over time. Share features across the organization.