Alation

MAY 24, 2022

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. A business glossary is critical to aligning an organization around the definition of business terms.

Data Quality 98

Data Quality Data Governance ETL Data Observability 98

Pickl AI

JULY 8, 2024

These pipelines automate collecting, transforming, and delivering data, crucial for informed decision-making and operational efficiency across industries. NoSQL Databases: Flexible, scalable solutions for unstructured or semi-structured data. Data Warehouses : Centralised repositories optimised for analytics and reporting.

Data Pipeline 52

Data Pipeline Data Quality Database Apache Kafka 52

Pickl AI

JUNE 7, 2024

It is a process for moving and managing data from various sources to a central data warehouse. This process ensures that data is accurate, consistent, and usable for analysis and reporting. Definition and Explanation of the ETL Process ETL is a data integration method that combines data from multiple sources.

ETL 40

ETL Data Quality Data Pipeline Data Warehouse 40

Alation

FEBRUARY 8, 2022

Signals around the quality and integrity of the data are essential if people are to understand and trust it. Data provenance and lineage, for example, clarify an asset’s origin and past usages, important details for a newcomer to understand and trust that asset. Readers may notice these attributes echo other data management frameworks.

Data Governance 52

Data Governance Data Engineering Data Engineering Data Engineer 52