Smart Data Collective

APRIL 20, 2022

Data entry errors will gradually be reduced by these technologies, and operators will be able to fix the problems as soon as they become aware of them. Make Data Profiling Available. To ensure that the data in the network is accurate, data profiling is a typical procedure.

Data Profiling 145

Data Profiling Data Analysis Data Analysis Database 145

ODSC - Open Data Science

FEBRUARY 24, 2023

Great Expectations GitHub | Website Great Expectations (GX) helps data teams build a shared understanding of their data through quality testing, documentation, and profiling. With Great Expectations , data teams can express what they “expect” from their data using simple assertions.

Exploratory Data Analysis 126

Exploratory Data Analysis Data Visualization Data Analysis Data Analysis 126

Alation

MAY 24, 2022

Prime examples of this in the data catalog include: Trust Flags — Allow the data community to endorse, warn, and deprecate data to signal whether data can or can’t be used. Data Profiling — Statistics such as min, max, mean, and null can be applied to certain columns to understand its shape.

Data Quality 98

Data Quality Data Governance ETL Data Observability 98

Alation

SEPTEMBER 7, 2021

TrustCheck can be integrated with popular business intelligence BI tools, like Tableau, which supply quality information as you use these tools. In addition, Alation provides a quick preview and sample of the data to help data scientists and analysts with greater data quality insights.

Data Governance 59

Data Governance Data Scientist Data Quality Data Profiling 59

Alation

DECEMBER 21, 2022

Transactional systems and data warehouses can then use the golden records as the entity’s most current, trusted representation. Data Catalog and Master Data Management. Early on, analysts used data catalogs to find and understand data more quickly. MDM Build Objects. The MDM tool should help with this.

Data Quality 52

Data Quality Data Warehouse Data Profiling Data Governance 52

DagsHub

AUGUST 23, 2024

A data quality standard might specify that when storing client information, we must always include email addresses and phone numbers as part of the contact details. If any of these is missing, the client data is considered incomplete. Data Profiling Data profiling involves analyzing and summarizing data (e.g.

Data Quality 52

Data Quality Data Governance Machine Learning Machine Learning 52