Data Architecture, Data Discovery and Data Management

Evaluating Data Lakes vs. Data Warehouses

Dataversity

MARCH 21, 2022

While data lakes and data warehouses are both important Data Management tools, they serve very different purposes. If you’re trying to determine whether you need a data lake, a data warehouse, or possibly even both, you’ll want to understand the functionality of each tool and their differences.

Data Warehouse

Data Warehouse Data Management Data Discovery Data Governance

Data fabrics bring the power of data to the people

Tableau

JUNE 13, 2022

This ability removes the structural barriers between IT-managed data environments and true, businesswide data-driven decision making. . Data fabrics—AI-based data management designed for federated environments—are the connective tissue between data, infrastructure, and software.

Chief Data Officer

Chief Data Officer Government Data Discovery Data Analytics

Data fabrics bring the power of data to the people

Tableau

JUNE 13, 2022

This ability removes the structural barriers between IT-managed data environments and true, businesswide data-driven decision making. . Data fabrics—AI-based data management designed for federated environments—are the connective tissue between data, infrastructure, and software.

Chief Data Officer

Chief Data Officer Government Data Discovery Data Analytics

Webinars

From Failure to Forecasting: Smarter M&A Strategies

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Enterprise Data Management: Strategy, Benefits, Best Practices

Astera

MARCH 20, 2024

This article covers everything about enterprise data management, including its definition, components, comparison with master data management, benefits, and best practices. What Is Enterprise Data Management (EDM)? Why is Enterprise Data Management Important?

Data Management

Data Management Master Data Management Data Quality Data Warehouse

Data Mesh vs. Data Fabric: How to Choose the Right Data Strategy for Your Organization

Astera

SEPTEMBER 4, 2024

Implementing a modern, integrated data architecture can help you break down data silos, which cause C-suite decision-makers to lose 12 hours a week. Furthermore, more than 60% of organizations agree that data silos represent a significant business challenge. Discuss your data strategy with us. What Is Data Mesh?

Data Architecture

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7 Crucial Data Governance Best Practices To Implement

Astera

MAY 22, 2024

Building a solid data governance framework involves several key pillars. These pillars include; establishing data quality standards, integrating data from various sources, prioritizing data privacy and security, and defining a clear data architecture.

Data Governance

Data Governance Government Data Discovery Data Security

Data Governance Framework: What is it? Importance, Pillars and Best Practices

Astera

APRIL 24, 2024

It helps establish policies, assign roles and responsibilities, and maintain data quality and security in compliance with relevant regulatory standards. The framework, therefore, provides detailed documentation about the organization’s data architecture, which is necessary to govern its data assets.

Data Governance

Data Governance Government Data Architecture Data Quality

An Introduction to Active Data Governance

Astera

JUNE 14, 2024

But now, with the data-driven culture, modern enterprises are adopting an agile approach toward data governance that primarily centers around data accessibility and empowering business users to take responsibility for governing and managing data. Interested in learning more?

Data Governance

Data Governance Government Data Quality Monitoring

Data Catalog vs. Data Dictionary vs. Business Glossary: Key Differences

Astera

JUNE 4, 2024

While data dictionaries offer some lineage information for specific fields within a database, data catalogs provide a more comprehensive lineage view across various data sources. Benefits of a Data Catalog Streamlined Data Discovery Data catalogs empower users to locate relevant datasets quickly based on specific criteria.

Data Governance

Data Governance Government Data Discovery Data Quality

Data Vault vs. Data Mesh: Choosing the Right Data Architecture?

Astera

JANUARY 12, 2024

Data volume continues to soar, growing at an annual rate of 19.2%. This means organizations must look for ways to efficiently manage and leverage this wealth of information for valuable insights. Enterprises should evaluate their requirements to select the right data warehouse framework and gain a competitive advantage.

Data Architecture

Data Architecture Data Warehouse Data Quality Government

What do data-driven companies have in common? Research reveals five key trends

Tableau

JULY 23, 2021

“Data-leading companies were 3x more likely than data-aware organizations to require new hires to know how to persuasively present data.”. Swiss Life , the 110-year-old insurance and asset management leader, experienced this firsthand. To learn how to build one review the Tableau Data Culture Playbook.

Government

Government Banking Data Governance Data Discovery

What do data-driven companies have in common? Research reveals five key trends

Tableau

JULY 23, 2021

“Data-leading companies were 3x more likely than data-aware organizations to require new hires to know how to persuasively present data.”. Swiss Life , the 110-year-old insurance and asset management leader, experienced this firsthand. To learn how to build one review the Tableau Data Culture Playbook.

Government

Government Banking Data Governance Data Discovery

A Data Culture enabled by the cloud accelerates time-to-value

Tableau

AUGUST 6, 2021

The goal here is to make data accessible and traceable while deterring unwanted behavior, such as having users share data outside of governed channels because they felt the access was too restrictive. . Cloud services include features for governance and data management, supported by automated policies.

Cloud Computing

Cloud Computing Government Data Governance Supply Chain

SCALING EXISTING DATA ARCHITECTURES IS PRAGMATIC IDEALISM

Analysts Corner

NOVEMBER 26, 2024

In the second edition of Data Management at Scale [1] author Piethein Strengholt reacts to the privilege — and problem — of formulating one’s thoughts at a certain point in time. This is merely an example of how Strengholt expands and details the language of data mesh. Hence the need for a second edition.

Data Architecture

Data Architecture Data Discovery Data Management Data Governance

A Data Culture enabled by the cloud accelerates time-to-value

Tableau

AUGUST 6, 2021

The goal here is to make data accessible and traceable while deterring unwanted behavior, such as having users share data outside of governed channels because they felt the access was too restrictive. Cloud services include features for governance and data management, supported by automated policies.

Cloud Computing

Cloud Computing Government Data Governance Supply Chain

What Is Embedded Analytics?

Insight Software

MAY 1, 2023

New data discovery solutions now offer business analysts something better than Microsoft Excel—with minimal dependency on IT resources. Tradition BI has been a popular way for large businesses to launch their data analytics. Data Discovery Applications Data discovery is the capability to uncover insights from information.

Embedded Analytics

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Business Analysis Digest

Evaluating Data Lakes vs. Data Warehouses

Data fabrics bring the power of data to the people

Webinars

Trending Sources

Data fabrics bring the power of data to the people

Webinars

Enterprise Data Management: Strategy, Benefits, Best Practices

Data Mesh vs. Data Fabric: How to Choose the Right Data Strategy for Your Organization

7 Crucial Data Governance Best Practices To Implement

Data Governance Framework: What is it? Importance, Pillars and Best Practices

An Introduction to Active Data Governance

Data Catalog vs. Data Dictionary vs. Business Glossary: Key Differences

Data Vault vs. Data Mesh: Choosing the Right Data Architecture?

What do data-driven companies have in common? Research reveals five key trends

What do data-driven companies have in common? Research reveals five key trends

A Data Culture enabled by the cloud accelerates time-to-value

SCALING EXISTING DATA ARCHITECTURES IS PRAGMATIC IDEALISM

A Data Culture enabled by the cloud accelerates time-to-value

What Is Embedded Analytics?

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