Dataversity

MARCH 13, 2023

These products rely on a tangle of data pipelines, each a choreography of software executions transporting data from one place to another. As these pipelines become more complex, it’s important […] The post Data Observability vs. Monitoring vs. Testing appeared first on DATAVERSITY.

Monitoring 246

Monitoring Data Quality Data Governance Data Architecture 246

Astera

APRIL 24, 2024

What is a Data Governance Framework? A data governance framework is a structured way of managing and controlling the use of data in an organization. It helps establish policies, assign roles and responsibilities, and maintain data quality and security in compliance with relevant regulatory standards.

Data Governance 52

Data Governance Government Data Architecture Data Quality 52

Astera

MARCH 19, 2024

Data governance refers to the strategic management of data within an organization. It involves developing and enforcing policies, procedures, and standards to ensure data is consistently available, accurate, secure, and compliant throughout its lifecycle.

Data Governance 52

Data Governance Government Data Quality Monitoring 52

Dataversity

JUNE 19, 2023

While this technique is practical for in-database verifications – as tests are embedded directly in their data modeling efforts – it is tedious and time-consuming when end-to-end data […] The post Testing and Monitoring Data Pipelines: Part Two appeared first on DATAVERSITY.

Monitoring 130

Monitoring Data Modelling Data Quality Data Governance 130

Dataversity

MAY 26, 2023

How can you ensure that your data meets expectations after every transformation? That’s where data quality testing comes in. Data testing uses a set of rules to check if the data conforms to […] The post Testing and Monitoring Data Pipelines: Part One appeared first on DATAVERSITY.

Monitoring 130

Monitoring Data Warehouse Data Quality Data Governance 130

Domo

SEPTEMBER 27, 2021

As someone whose role at Domo is to provide data governance advice to the company’s largest customers, I have lots of conversations with IT leaders about data lakes. At its core, a data lake is a centralized repository that stores all of an organization’s data. Overcoming data lake disadvantages.

Data Architecture 52

Data Architecture Finance Government Visualization 52

BizAcuity

APRIL 14, 2022

There are a wide range of problems that are presented to organizations when working with big data. Challenges associated with Data Management and Optimizing Big Data. Unscalable data architecture. Scalable data architecture is not restricted to high storage space. Big Data Storage Optimization.

Big Data 130

Big Data Data Analytics Data Analytics Data Management 130