Data Engineering Podcast

MAY 26, 2024

Announcements Hello and welcome to the Data Engineering Podcast, the show about modern data management Data lakes are notoriously complex. Announcements Hello and welcome to the Data Engineering Podcast, the show about modern data management Data lakes are notoriously complex.

Systems 130

Systems Data Lake High Quality Data Google Cloud 130

Monte Carlo

JANUARY 10, 2024

On the other hand, “Can the marketing team easily segment the customer data for targeted communications?” usability) would be about extrinsic data quality. In this article, we present six intrinsic data quality techniques that serve as both compass and map in the quest to refine the inner beauty of your data.

Data Cleanse 52

Data Cleanse Data Engineering Data Engineer Engineering 52

Databand.ai

AUGUST 30, 2023

Data quality monitoring refers to the assessment, measurement, and management of an organization’s data in terms of accuracy, consistency, and reliability. It utilizes various techniques to identify and resolve data quality issues, ensuring that high-quality data is used for business processes and decision-making.

Data Cleanse 52

Data Cleanse Metadata High Quality Data Datasets 52

Databand.ai

AUGUST 30, 2023

Accurate data ensures that these decisions and strategies are based on a solid foundation, minimizing the risk of negative consequences resulting from poor data quality. There are various ways to ensure data accuracy. It can be done at the time of data entry or afterward.

Data Integration 52

Data Integration Data Cleanse Data Validation Data Governance 52

Databand.ai

AUGUST 30, 2023

Data cleansing: Implement corrective measures to address identified issues and improve dataset accuracy levels. Data validation: Ensure new database entries adhere to predefined rules or standards to maintain dataset consistency. Additionally, high-quality data reduces costly errors stemming from inaccurate information.

Building 52

Building Data Cleanse Data Governance Datasets 52

Monte Carlo

JULY 11, 2023

Regardless of the approach you choose, it’s important to keep a scrutinous eye on whether or not your data outputs are matching (or close to) your expectations; often, relying on a few of these measures will do the trick. Data accuracy vs. data quality Data accuracy and data quality are related concepts but they are not synonymous.

Data Cleanse 40

Data Cleanse Datasets Data Governance Government 40

Airbnb Tech

NOVEMBER 28, 2023

Enable full visibility into the quality of our offline data warehouse and individual data assets. Composing the Score Before diving into the nuances of measuring data quality, we drove alignment on the vision by defining our DQ Score guiding principles. whereas others were more like proxies for quality (e.g.,

Data Warehouse 98

Data Warehouse Metadata Data Certification 98