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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.

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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 […].

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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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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?

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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.

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Cloud Architecture Mistakes: Losing Visibility and Control Over Data Processing

Dataversity

This is a five-part series of articles examining five critical mistakes organizations face when building a cloud architecture, and how those mistakes can lead to soaring costs and inefficient – even risky – data management.

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How to Assess Data Quality Readiness for Modern Data Pipelines

Dataversity

For growth-minded organizations, the ability to effectively respond to market conditions, competitive pressures, and customer expectations is dependent on one key asset: data. But having just massive troves of data isn’t enough.

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Data Observability vs. Monitoring vs. Testing

Dataversity

Companies are spending a lot of money on data and analytics capabilities, creating more and more data products for people inside and outside the company.

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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.

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Moving to Distributed Systems Can Ease the Path to Cloud Infrastructure

Dataversity

Data Architecture Blogs Data Architecture News, Articles, & Education Data Blogs | Information From Enterprise Leaders Data Education cloud cloud computing cloud infrastructure cloud migration data architecture data security FInTech legacy architecture

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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.

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Using Emerging and Legacy Tech Together Raises Data Security Complexity

Dataversity

The World Economic Forum has released its Global Cybersecurity Outlook 2023 report, and it highlights how things have changed when it comes to data security and cybersecurity in general.

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Modernizing COBOL: The Public Sector’s Achilles’ Heel

Dataversity

Data Architecture Blogs Data Architecture News, Articles, & Education Data Blogs | Information From Enterprise Leaders Data Education Database Blogs Database News, Articles, & Education cloud COBOL data architecture low-code microservices

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What to Expect from Open-Source Data Infrastructure in 2023

Dataversity

Open-source technologies will become even more prominent within enterprises’ data architecture over the coming year, driven by the stark budgetary advantages combined with some of the newest enterprise-friendly capabilities added to several solutions.

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Enterprise Architects Can Be Indispensable in the Boardroom

Dataversity

Enterprise architecture (EA) can be a confusing term.

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Are Data Warehouses Still Relevant?

Dataversity

Over the past few years, enterprise data architectures have evolved significantly to accommodate the changing data requirements of modern businesses. Data warehouses were first introduced in the […] The post Are Data Warehouses Still Relevant?

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The Semantic Lakehouse Explained

Dataversity

Data lakes and semantic layers have been around for a long time – each living in their own walled gardens, tightly coupled to fairly narrow use cases.

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Observability: Traceability for Distributed Systems

Dataversity

Data Architecture Blogs Data Architecture News, Articles, & Education Data Blogs | Information From Enterprise Leaders Data Education Enterprise Information Management Information Management Blogs Big Data data architecture data governance data observability data pipelines observability

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Observability: Traceability for Distributed Systems

Dataversity

Data Architecture Blogs Data Architecture News, Articles, & Education Data Blogs | Information From Enterprise Leaders Data Education Enterprise Information Management Information Management Blogs Big Data data architecture data governance data observability data pipelines observability

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Plans for Cloud Cost Management and Resource Optimization in 2023

Dataversity

Data Architecture Blogs Data Architecture News, Articles, & Education Data Blogs | Information From Enterprise Leaders Data Education Enterprise Information Management Information Management Blogs cloud cloud cost management cloud migration multi-cloud SaaS

Planning 246
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Save Money with Storage-as-a-Service During Uncertain Economic Times

Dataversity

Data Architecture Blogs Data Architecture News, Articles, & Education Data Blogs | Information From Enterprise Leaders Data Education Database Blogs Database News, Articles, & Education cybersecurity data security data storage storage as a service

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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.

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iPaaS Is Broken – Here’s How to Fix It

Dataversity

Data Architecture Blogs Data Architecture News, Articles, & Education Data Blogs | Information From Enterprise Leaders Data Education Enterprise Information Management Information Management Blogs cloud digital transformation iPaaS SaaS

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Five Data and Analytics Trends: What Lies Ahead in 2023

Dataversity

The post Five Data and Analytics Trends: What Lies Ahead in 2023 appeared first on DATAVERSITY. It’s rare, if not impossible, to find a business that does not have a digital presence.

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The Competition Between On-Prem and Cloud Is Over – Hybrid Wins

Dataversity

Data Architecture Blogs Data Architecture News, Articles, & Education Data Blogs | Information From Enterprise Leaders Data Education cloud cloud computing data architecture data silos hybrid cloud multi-cloud on-prem and cloud on-premises

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Best Practices in Data Pipeline Test Automation

Dataversity

Data integration processes benefit from automated testing just like any other software. Yet finding a data pipeline project with a suitable set of automated tests is rare.

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Major AI Trends for Traditional Enterprises in 2023

Dataversity

Data Architecture Blogs Data Architecture News, Articles, & Education Data Blogs | Information From Enterprise Leaders Data Education Smart Data Blogs Smart Data News, Articles, & Education AI artificial intelligence Center of Excellence data fabric Machine Learning

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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.

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Data Lakehouses: The Future Of Data Migration

Dataversity

It’s no surprise that, in 2023, business enterprises want to become truly data-driven organizations. For many of these organizations, the path toward becoming more data-driven lies in the power of data lakehouses, which combine elements of data warehouse architecture with data lakes.

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

Dataversity

Data Architecture Blogs Data Architecture News, Articles, & Education Data Blogs | Information From Enterprise Leaders Data Education Enterprise Information Management Information Management Blogs cloud data security digital transformation IT leaders ITSM ITSM platforms

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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.

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Without Trusted Core Data, Data Mesh Is Data Meh

Dataversity

Organizations seeking responsive and sustainable solutions to their growing data challenges increasingly lean on architectural approaches such as data mesh to deliver information quickly and efficiently.

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How Reverse ETL Powers Modern Customer Marketing: Concrete Examples

Dataversity

Analytics Blogs Analytics News, Articles, & Education Data Architecture Blogs Data Architecture News, Articles, & Education Data Blogs | Information From Enterprise Leaders Data Education analytics crm data architecture data warehouse reverse ETL

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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.

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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.