Tableau

AUGUST 6, 2021

One way is to increase access to data and facilitate analysis and innovation by migrating to the cloud. Having data and analytics in the cloud removes barriers to access and trust while strengthening data governance. Cloud services include features for governance and data management, supported by automated policies.

Cloud Computing 98

Cloud Computing Government Data Governance Supply Chain 98

Astera

DECEMBER 16, 2024

What is one thing all artificial intelligence (AI), business intelligence (BI), analytics, and data science initiatives have in common? They all need data pipelines for a seamless flow of high-quality data. The support is primarily chat-based, which is not comprehensive enough for certain organizations.

Data Warehouse 52

Data Warehouse Real-time Data Monitoring Data Quality 52

Tableau

AUGUST 6, 2021

One way is to increase access to data and facilitate analysis and innovation by migrating to the cloud. Having data and analytics in the cloud removes barriers to access and trust while strengthening data governance. Cloud services include features for governance and data management, supported by automated policies.

Cloud Computing 52

Cloud Computing Government Data Governance Supply Chain 52

Astera

JUNE 4, 2024

This quickness eliminates time wasted searching through siloed data sources. Improved Data Governance It specifies the data origin and the potential impact of changes to the data by facilitating data lineage tracking, impact analysis, and enforcement of data governance policies.

Data Governance 52

Data Governance Government Data Discovery Data Quality 52

Domo

JULY 23, 2024

It aligns data services and streams within your organization, simplifying data management on a massive scale. A data fabric enables CIOs and data practitioners to unify their business intelligence (BI) architecture without moving data out of the cloud.

Data Warehouse 52

Data Warehouse Data Security Data Architecture Government 52

Astera

MARCH 20, 2024

For example, with a data warehouse and solid foundation for business intelligence (BI) and analytics , you can respond quickly to changing market conditions, emerging trends, and evolving customer preferences. Data breaches and regulatory compliance are also growing concerns.

Data Management 52

Data Management Master Data Management Government Data Quality 52

Astera

DECEMBER 21, 2022

There are many types of data repositories. There are also many other processes and tools that go into a data management system, such as data governance, data integration, business intelligence, and more. Using the example of the eCommerce store, a variety of data on each customer may be processed.

Data Management 52

Data Management Data Governance Government Data Warehouse 52

Dataversity

SEPTEMBER 28, 2022

Data engineering is a fascinating and fulfilling career – you are at the helm of every business operation that requires data, and as long as users generate data, businesses will always need data engineers. The journey to becoming a successful data engineer […].

Data Modelling 130

Data Modelling Data Architecture Data Governance Government 130

Dataversity

APRIL 15, 2022

I co-founded my company to focus on the challenges of supporting a large number of data analysts working on disparate sets of data managed in a massive lake. We borrowed the term “semantic layer” from the folks at Business Objects, who originally coined it in the 1990s. The term was actually over 20 years old […].

Data Management 130

Data Management Data Architecture Data Security Data Governance 130

The Data Administration Newsletter

MAY 31, 2022

Synthetic Data is, according to Gartner and other industry oracles, “hot, hot, hot.” In fact, according to Gartner, “60 percent of the data used for the development of AI and analytics projects will be synthetically generated.”[1]

Data Governance 105

Data Governance Data Architecture Big Data Government 105

The Data Administration Newsletter

MAY 2, 2023

The terms Data Mesh and Data Fabric have been used extensively as data management solutions in conversations these days, and sometimes interchangeably, to describe techniques for organizations to manage and add value to their data.

Data Management 94

Data Management Data Governance Data Architecture Big Data 94

The Data Administration Newsletter

JUNE 21, 2022

Twenty-five years ago today, I published the first issue of The Data Administration Newsletter. It only took a few months to recognize that there was an audience for an “online” publication focused on data administration. […].

Master Data Management 78

Master Data Management Data Modelling Data Quality Data Governance 78

The Data Administration Newsletter

MARCH 15, 2022

In her groundbreaking article, How to Move Beyond a Monolithic Data Lake to a Distributed Data Mesh, Zhamak Dehghani made the case for building data mesh as the next generation of enterprise data platform architecture.

Government 69

Government Data Governance Data Architecture Big Data 69

The Data Administration Newsletter

OCTOBER 17, 2023

The worldwide shift toward cloud computing significantly changes how businesses approach data management and operation. Regardless of whether private, public, or hybrid cloud models are employed, the advantages of cloud computing are numerous, including heightened efficiency, reduced expenses, and increased flexibility.

Cloud Computing 52

Cloud Computing Data Management Data Governance Data Architecture 52

The Data Administration Newsletter

DECEMBER 19, 2023

Dark data remains one of the greatest untapped resources in business. This is due to the vast amounts of usable data that exists within an organization, but is not utilized or analyzed to serve a specific purpose. Since dark data represents missed opportunities for […]

Data Governance 52

Data Governance Data Architecture Government Data Management 52

The Data Administration Newsletter

OCTOBER 31, 2023

Today’s digital realm increasingly emphasizes the value of self-service data access. However, with this rapid shift towards democratized data access come challenges that organizations need to address. One central conundrum confronts businesses: How can they provide expansive data access while ensuring that information […]

Digital 52

Digital Data Governance Data Architecture Data Security 52

The Data Administration Newsletter

MAY 3, 2022

The road to creating business value through a well-oiled data management strategy can be long and challenging. A successful data management strategy is one that generates value rapidly and unlocks new data-driven insights.

Data Management 52

Data Management Data Governance Data Architecture Big Data 52

The Data Administration Newsletter

MAY 31, 2022

As we enter a new cloud-first era, advancements in technology have helped companies capture and capitalize on data as much as possible. Deciding between which cloud architecture to use has always been a debate between two options: data warehouses and data lakes.

Data Warehouse 52

Data Warehouse Data Governance Data Architecture Government 52

The Data Administration Newsletter

APRIL 4, 2023

Data in the Cloud For a variety of motivations, many organizations have decided to place data and processing on the cloud. One approach to using the cloud is to just throw a lot of data onto the cloud. The cloud vendors advocate this approach. But — for a variety of reasons — there is an […]

Data Architecture 52

Data Architecture Data Governance Data Management Business Intelligence 52

The Data Administration Newsletter

NOVEMBER 15, 2022

Naturally, being intelligent and rational beings, we took the action necessary to prevent the oncoming catastrophe. Surely then, being intelligent and rational beings, we prepared for what was to come by stopping building […]. In 2006, the world learned an inconvenient truth.

Data Architecture 52

Data Architecture Big Data Data Governance Business Intelligence 52

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.

Agile 52

Agile Data Warehouse Data Quality Government 52