The Modern Data Company

JULY 18, 2023

Data products should incorporate mechanisms for data validation, cleansing, and ongoing monitoring to maintain data integrity. User-Centric Design A data product should be designed with the end-users in mind. Data Accessibility and Usability Data products should provide seamless access to data for authorized users.

Data Governance 69

Data Governance High Quality Data Government Data 69

The Modern Data Company

JULY 18, 2023

Data products should incorporate mechanisms for data validation, cleansing, and ongoing monitoring to maintain data integrity. User-Centric Design A data product should be designed with the end-users in mind. Data Accessibility and Usability Data products should provide seamless access to data for authorized users.

Data Governance 52

Data Governance High Quality Data Government Data 52

The Modern Data Company

JULY 18, 2023

Data products should incorporate mechanisms for data validation, cleansing, and ongoing monitoring to maintain data integrity. User-Centric Design A data product should be designed with the end-users in mind. Data Accessibility and Usability Data products should provide seamless access to data for authorized users.

Data Governance 52

Data Governance High Quality Data Government Data 52

Databand.ai

AUGUST 30, 2023

These tools play a vital role in data preparation, which involves cleaning, transforming and enriching raw data before it can be used for analysis or machine learning models. There are several types of data testing tools. If you’re ready to take a deeper look, book a demo today.

Data Cleanse 52

Data Cleanse Data Pipeline Datasets Data Validation 52

Cloudera

AUGUST 31, 2021

The Accenture Smart Data Transition Toolkit is also tightly integrated with Cloudera Data Platform for cloud data management and Cloudera Shared Data Experiences for secure, self-service analytics. These schemas will be created based on its definitions in existing legacy data warehouses. Demo Video.

Data Warehouse 82

Data Warehouse Database-centric Metadata Cloud 82

Monte Carlo

FEBRUARY 6, 2023

But in reality, a data warehouse migration to cloud solutions like Snowflake and Redshift requires a tremendous amount of preparation to be successful—from schema changes and data validation to a carefully executed QA process. What teams will be using your new data warehouse? What will they need access to and when?

Data Warehouse 52

Data Warehouse AWS Data Validation Data 52

Precisely

MAY 2, 2024

When it comes to customer-related transactions and analytics, your data’s integrity, accuracy, and accessibility directly impact your business’s ability to operate efficiently and deliver value to customers. That’s what makes slow, manual customer data management so damaging. The solution?

Coding Skills 69

Coding Skills Food Data Portfolio 69