Dataversity

AUGUST 15, 2022

So, what can you do to ensure your data is up to par and […]. The post Data Trustability: The Bridge Between Data Quality and Data Observability appeared first on DATAVERSITY. You might not even make it out of the starting gate.

Data Observability 52

Data Observability Data Quality Data Lakes Data Warehouse 52

The Data Administration Newsletter

NOVEMBER 14, 2023

Data empowers businesses to gain valuable insights into industry trends and fosters profitable decision-making for long-term growth. No wonder businesses of all sizes are switching to data-driven culture from conventional practices.

Data Observability 59

Data Observability Data Quality Data Governance 59

ODSC - Open Data Science

JANUARY 9, 2024

This will become more important as the volume of this data grows in scale. Data Governance Data governance is the process of managing data to ensure its quality, accuracy, and security. Data governance is becoming increasingly important as organizations become more reliant on data.

Data Engineering 97

Data Engineering Data Engineering Data Engineer Data Engineering 97

Dataversity

JANUARY 19, 2024

Do you know the costs of poor data quality? Below, I explore the significance of data observability, how it can mitigate the risks of bad data, and ways to measure its ROI. Data has become […] The post Putting a Number on Bad Data appeared first on DATAVERSITY.

Data Quality 72

Data Quality Data Observability Data Governance 72

Precisely

MARCH 7, 2024

Yet experts warn that without proactive attention to data quality and data governance, AI projects could face considerable roadblocks. This article focuses on some fundamental prerequisites for the successful use of generative AI in the claims management process.

AI 72

AI AI Data Governance Data Quality 72

Dataversity

DECEMBER 14, 2021

Watching closely the evolution of metadata platforms (later rechristened as Data Governance platforms due to their focus), as somebody who has implemented and built Data Governance solutions on top of these platforms, I see a significant evolution in their architecture as well as the use cases they support.

Data Governance 52

Data Governance Data Observability ETL Data Quality 52

DagsHub

AUGUST 23, 2024

Image generated with Midjourney Organizations increasingly rely on data to make business decisions, develop strategies, or even make data or machine learning models their key product. As such, the quality of their data can make or break the success of the company. What is a data quality framework?

Data Quality 52

Data Quality Data Governance Machine Learning Machine Learning 52

Dataversity

JUNE 19, 2023

In part one of this article, we discussed how data testing can specifically test a data object (e.g., table, column, metadata) at one particular point in the data pipeline.

Data Pipeline 52

Data Pipeline Database Data Modeling Data Models 52

Precisely

FEBRUARY 2, 2023

And this confidence requires data quality controls that include machine-learning models to recognize whether the appropriate rules are applied to your data and flexible data governance tools that can adapt to different business scenarios.

Data Pipeline 52

Data Pipeline Data Silos Database Data Observability 52

Alation

FEBRUARY 8, 2022

Making the experts responsible for service streamlines the data-request pipeline, delivering higher quality data into the hands of those who need it more rapidly. Some argue that data governance and quality practices may vary between domains. Are they just for this season, or an article you can rely on for life?

Data Governance 52

Data Governance Data Engineering Data Engineering Data Engineer 52

The MLOps Blog

JUNE 27, 2023

To provide you with a comprehensive overview, this article explores the key players in the MLOps and FMOps (or LLMOps) ecosystems, encompassing both open-source and closed-source tools, with a focus on highlighting their key features and contributions. It could help you detect and prevent data pipeline failures, data drift, and anomalies.

Machine Learning 134

Machine Learning Machine Learning ML ML 134

Dataversity

JUNE 26, 2023

The same expectation applies to data, […] The post Leveraging Data Pipelines to Meet the Needs of the Business: Why the Speed of Data Matters appeared first on DATAVERSITY. Today, businesses and individuals expect instant access to information and swift delivery of services.

Data Pipeline 52

Data Pipeline Data Observability Data Quality Data Governance 52

Dataversity

MAY 26, 2023

Suppose you’re in charge of maintaining a large set of data pipelines from cloud storage or streaming data into a data warehouse. How can you ensure that your data meets expectations after every transformation? That’s where data quality testing comes in.

Data Pipeline 52

Data Pipeline Data Warehouse Data Quality Data Observability 52

Dataversity

MARCH 3, 2023

You wished the traceability could have been better to relieve […] The post Observability: Traceability for Distributed Systems appeared first on DATAVERSITY. Have you ever waited for that one expensive parcel that shows “shipped,” but you have no clue where it is? But wait, 11 days later, you have it at your doorstep.

Data Observability 52

Data Observability Data Pipeline Data Governance Big Data 52

Dataversity

MARCH 3, 2023

You wished the traceability could have been better to relieve […] The post Observability: Traceability for Distributed Systems appeared first on DATAVERSITY. Have you ever waited for that one expensive parcel that shows “shipped,” but you have no clue where it is? But wait, 11 days later, you have it at your doorstep.

Data Observability 52

Data Observability Data Pipeline Data Governance Big Data 52

Dataversity

JANUARY 16, 2025

Test cases, data, and validation procedures are crucial for data transformations, requiring an understanding of transformation requirements, scenarios, and specific techniques for accuracy and integrity.

Data Observability 52

Data Observability Data Quality Data Governance Analytics 52