Data Governance, Data Leadership or Data Architecture: What Matters Most?

Dataversity

Robert Seiner and Anthony Algmin faced off – in a virtual sense – at the DATAVERSITY® Enterprise Data World Conference to determine which is more important: Data Governance, Data Leadership, or Data Architecture.

How a Stateless Data Architecture Can Enable You to Harness the Power of Today’s Agile Data

Dataversity

A stateful application saves data generated by each client session and uses it the next time the client makes a request. A stateless application doesn’t save client data from one session to the next. Technologies are sometimes categorized as stateful or stateless.

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Data Lakes Are Dead: Evolving Your Company’s Data Architecture

Dataversity

You know you’re not getting the most out of your data. How can your company redesign its data architecture without making the same mistakes all over again? There’s no one-size-fits-all data architecture, and […].

Business Data Architecture

Capiro

A business data architecture comprises definitions and models of an organisation’s data. The models provide a picture of the business in terms of the data. Understanding the data architecture is a key skill of a business analyst. Data for business agility.

Moving to Distributed Systems Can Ease the Path to Cloud Infrastructure

Dataversity

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High-Fidelity, Persistent Data Storage and Replay

Dataversity

Until immortality is invented, we’ll have to settle for solving the same problem in data enablement. Actionable data lost to time. With incredible advances in data […]. The post High-Fidelity, Persistent Data Storage and Replay appeared first on DATAVERSITY.

Critical Components of Big Data Architecture for a Translation Company

Smart Data Collective

Big data technology has been instrumental in helping organizations translate between different languages. We covered the benefits of using machine learning and other big data tools in translations in the past. How Does Big Data Architecture Fit with a Translation Company?

What is business data architecture?

Capiro

What is a business data architecture? A business data architecture comprises definitions and models of an organisation’s concepts and data using the language of the business. Master your business data. It forms a picture of the business in terms of the data.

APIs and Data Sharing: Key Challenges to Address

Dataversity

Realizing the full potential of real-time data sharing among partners in an organization’s ecosystem is a crucial component of digital transformation. For digital businesses to progress quickly, it will take more than just better data management and more insightful analysis.

Developing Agile Data Warehouse Architecture Using Automation

Dataversity

In the past, designing and developing a robust data warehouse that satisfied the need for timely and effective business intelligence (BI) was an overwhelmingly difficult task, as it required significant time, capital, and risk.

What’s a Semantic Layer Worth?

Dataversity

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To Build or Buy: 3 Things IT Leaders Should Ask Themselves

Dataversity

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Modernizing COBOL: The Public Sector’s Achilles’ Heel

Dataversity

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Enterprise Architects Can Be Indispensable in the Boardroom

Dataversity

Enterprise architecture (EA) can be a confusing term.

The Case for Moving to a Business-centric Data Architecture

Domo

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.

Solving the Snapshot Migration Dilemma

Dataversity

Detailed planning and thoughtful consideration are critical for IT leaders moving their unstructured data to a new platform, whether it be on-premises or in the cloud. If they aren’t cautious, enterprises may encounter cost overruns, project delays, and data risk.

Data Fabric and RegTech: When Data Needs a Specific Domain for the Regulator

Dataversity

The post Data Fabric and RegTech: When Data Needs a Specific Domain for the Regulator appeared first on DATAVERSITY.

Scaling Data Access Governance

Dataversity

The rise of data lakes and adjacent patterns such as the data lakehouse has given data teams increased agility and the ability to leverage major amounts of data. The post Scaling Data Access Governance appeared first on DATAVERSITY.

Data Mesh or Data Mess?

Dataversity

The ways in which we store and manage data have grown exponentially over recent years – and continue to evolve into new paradigms. For much of IT history, though, enterprise data architecture has existed as monolithic, centralized “data lakes.”

Data Management Is Dead – Data Empowerment Has Emerged

Dataversity

In my last DATAVERSITY article, “The Machine Economy Is Here – The Digital Transformation Era Is Over,” I discussed the end of digital transformation, the arrival of the machine economy, and the emergence of data empowerment.

5 Ways Data Storage IT Pros Enable Business User Self-Service

Dataversity

The post 5 Ways Data Storage IT Pros Enable Business User Self-Service appeared first on DATAVERSITY. Data Architecture Blogs Data Architecture News, Articles, & Education Data Blogs | Information From Enterprise Leaders Data Education

Multi-Cloud Networking Design Checklist

Dataversity

As a principal solutions architect, I always start my cloud architecture discussions with the “triangle of truth,” or “holy trinity” of architecture principles for cloud: stability, agility, and security.

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The Future of Enterprise Data Infrastructure ? Autonomous Automation

Dataversity

Automation involves the simplification of the data center infrastructure by consolidating the storage environment. The post The Future of Enterprise Data Infrastructure ?

The Data Engineer’s Roadmap

Dataversity

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 […].

Major AI Trends for Traditional Enterprises in 2023

Dataversity

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How Developers Can Strengthen Data Security with Open Source and PKI

Dataversity

By tapping into open-source tools and public-key infrastructure (PKI), many developers are bringing data security into the earliest stages of development and taking greater responsibility […].

Doing Cloud Migration Right

Dataversity

More than 15 years ago, Amazon launched Amazon Web Services. Just two years later, more than 100 applications had been built on top of the platform.

How a Modern Cloud Analytics Stack Can Optimize the Value of Your Data

Dataversity

Data is vital when it comes to growing a business, but many organizations fail to utilize it properly once it has been collected. The post How a Modern Cloud Analytics Stack Can Optimize the Value of Your Data appeared first on DATAVERSITY.

Why CIOs Need More Than Application Portfolio Management

Dataversity

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Establishing Connections and Putting an End to Data Silos

Dataversity

They must connect not only systems, data, and applications to each other, but also to their […]. The post Establishing Connections and Putting an End to Data Silos appeared first on DATAVERSITY.

7 Factors to Consider When Deploying a Modern Data Estate

Dataversity

The abilities of an organization towards capturing, storing, and analyzing data; searching, sharing, transferring, visualizing, querying, and updating data; and meeting compliance and regulations are mandatory for any sustainable organization.

Prioritizing Cybersecurity at the Leadership Level

Dataversity

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3 Common Zero Trust Challenges – and How to Overcome Them

Dataversity

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Applying the Principle of Least Privilege to Multi-Cloud Environments

Dataversity

Organizations across all industries are adopting cloud computing models for their flexible, scalable architectures and globally available solutions. However, these data security solutions require careful management.

Azure Data Migration: 5 Tools to Know About

Dataversity

With many organizations migrating their critical workloads to cloud environments, choosing the appropriate data migration solutions is increasingly important. Identifying the right tools is a key step in the data migration process.