Astera

JANUARY 23, 2024

Businesses need scalable, agile, and accurate data to derive business intelligence (BI) and make informed decisions. Their data architecture should be able to handle growing data volumes and user demands, deliver insights swiftly and iteratively. The combination of data vault and information marts solves this problem.

Agile 52

Agile Data Warehouse Data Quality Government 52

Netmind

MARCH 9, 2021

Data Governance. We understand data governance as the set of people, responsibilities, rules, and processes that govern the management of data. Data governance deals with identification, collection, usage, and associated decision making. How do we ensure good data governance?

Data Governance 52

Data Governance Government Data Requirement Vision 52

Netmind

NOVEMBER 1, 2020

Data Governance . We understand data governance as the set of people, responsibilities, rules, and processes that govern the management of data. Data governance deals with identification, collection, usage, and associated decision making. How do we ensure good data governance?

Data Governance 52

Data Governance Government Data Requirement Vision 52

Astera

SEPTEMBER 4, 2024

This feature automates communication and insight-sharing so your teams can use, interpret, and analyze other domain-specific data sets with minimal technical expertise. Shared data governance is crucial to ensuring data quality, security, and compliance without compromising on the flexibility afforded to your teams by the data mesh approach.

Data Architecture 52

Data Architecture Data Governance Government Data Discovery 52

Astera

JULY 3, 2024

It creates a space for a scalable environment that can handle growing data, making it easier to implement and integrate new technologies. Moreover, a well-designed data architecture enhances data security and compliance by defining clear protocols for data governance.

Data Architecture 40

Data Architecture Data Warehouse Data Governance Government 40

Astera

JANUARY 2, 2024

When data is organized and accessible, different departments can work cohesively, sharing insights and working towards common goals. Data Governance vs Data Management One of the key points to remember is that data governance and data management are not the same concepts—they are more different than similar.

Data Management 52

Data Management Data Warehouse Data Governance Data Quality 52

Astera

AUGUST 15, 2024

It’s also more contextual than general data orchestration since it’s tied to the operational logic at the core of a specific pipeline. Since data pipeline orchestration executes an interconnected chain of events in a specific sequence, it caters to the unique data requirements a pipeline is designed to fulfill.

Data Quality 52

Data Quality Monitoring Artificial Intelligence Government 52