Five Modern Data Architecture Trends

David Menninger's Analyst Perspectives

I was recently asked to identify key modern data architecture trends. Data architectures have changed significantly to accommodate larger volumes of data as well as new types of data such as streaming and unstructured data.

Building a Modern Data Architecture for the 2020s


The post Building a Modern Data Architecture for the 2020s first appeared on DataKitchen. News News / PR


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Modernizing Data Architectures

Data Virtualization

Recently, we have seen the rise of new technologies like big data, the Internet of things (IoT), and data lakes. But we have not seen many developments in the way that data gets delivered. Modernizing the data infrastructure is the.

Data Minimization as Design Guideline for New Data Architectures

Data Virtualization

IT excels in copying data. It is well known organizations are storing data in volumes that continue to grow. However, most of this data is not new or original, much of it is copied data. For example, data about a.

The Next-Generation Cloud Data Lake: An Open, No-Copy Data Architecture

A next-gen cloud data lake architecture has emerged that brings together the best attributes of the data warehouse and the data lake. This new open data architecture is built to maximize data access with minimal data movement and no data copies.

DataOps: The Foundation for Your Agile Data Architecture


Learn about four data architectures patterns for agility - DataOps, Data Fabric, Data Mesh & Functional Data Engineering - & an example combining all four. The post DataOps: The Foundation for Your Agile Data Architecture first appeared on DataKitchen.

How to build a successful cloud data architecture


The post How to build a successful cloud data architecture first appeared on DataKitchen. News News / PR

Modernize Your Data Architecture with Data Virtualization

Data Virtualization

Practically overnight, organizations have been forced to adapt by modernizing their data architecture to support new types of analysis and new ways to connect to data. The post Modernize Your Data Architecture with Data Virtualization appeared first on Data Virtualization blog.

Modernize Your Data Architecture with Data Virtualization

Data Virtualization

Practically overnight, organizations have been forced to adapt by modernizing their data architectures to support new types of analysis and new ways to connect to data. The post Modernize Your Data Architecture with Data Virtualization appeared first on Data Virtualization blog.

How Do You Design New Data Architectures?

Data Virtualization

Organizations are rethinking their current data architectures. Business Data Architecture Data storage data stores data virtualization ETL Modern Data Architecture Snowflake SQL technology

The Difference Between Data Architecture and Enterprise Architecture


Although there is some crossover, there are stark differences between data architecture and enterprise architecture (EA). That’s because data architecture is actually an offshoot of enterprise architecture. The Value of Data Architecture.

The Unexpected Cost of Data Copies

This paper will discuss why organizations frequently end up with multiple data copies and how a secure "no-copy" data strategy enabled by the Dremio data lake service can help reduce complexity, boost efficiency, and dramatically reduce costs.

Data Architecture Movements in 2020


Data is commonly referred to as the new oil, a resource so immensely powerful that its true potential is yet to be discovered.

Data Mesh & Its Distributed Data Architecture


Going forward, data professionals have found a new way to address the scalability of sources through data mesh. 2022 Feb Tutorials, Overviews Data Science

Data Architecture 101: Ensuring Scalability & Security


Data architecture is an umbrella term that encompasses data storage , computational resources, and everything in between. All the technology that supports the collection, processing, and dashboarding of data is included in the architecture.

New Data Architectures are too Data-Store-Centric

Data Virtualization

Too often the design of new data architectures is based on old principles: they are still very data-store-centric. They consist of many physical data stores in which data is stored repeatedly and redundantly.

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?

Checklist Report: Preparing for the Next-Generation Cloud Data Architecture

Data architectures have evolved dramatically. It is time to reconsider the fundamental ways that information is accumulated, managed, and then provisioned to the different downstream data consumers.

Data Professional Introspective: Data Architecture and the Role of Business


The phrase “data architecture” often has different connotations across an organization depending on where their job role is. For instance, most of my earlier career roles were within IT, though throughout the last decade or so, has been primarily working with business line staff. When I present at conferences, seminars, or DAMA chapters, I ask […].

KDnuggets™ News 22:n07, Feb 16: How to Learn Math for Machine Learning; Data Mesh & Its Distributed Data Architecture


How to Learn Math for Machine Learning; Data Mesh & Its Distributed Data Architecture; 5 Ways to Apply AI to Small Data Sets; Top 5 Free Machine Learning Courses; Junior Data Scientist: The Next Level.

Data Architecture Crash Course: Key Terms


We’ve set out to demystify the jargon surrounding data architecture to enable every team to understand how it impacts their objectives. Hadoop Enterprise Ai Data Transformation data architectureNot sure what Hadoop actually is? A little fuzzy on what the difference is between cloud and on-prem storage?

Top 7 characteristics of a modern data architecture

IBM Big Data Hub

A modern data architecture (MDA) must support the next generation cognitive enterprise which is characterized by the ability to fully exploit data using exponential technologies like pervasive artificial intelligence (AI) , automation, Internet of Things (IoT) and blockchain

How to Democratize Data Across Your Organization Using a Semantic Layer

Speaker: speakers from Verizon, Snowflake, Affinity Federal Credit Union, EverQuote, and AtScale

Learn from data and analytics leaders at Verizon, Snowflake, EverQuote, and Affinity Federal Credit Union about how to foster a data literate culture while scaling data access and self-service analysis across your organization using a semantic layer.

Why DBAs Must Automate to Survive

The Data Administration Newsletter

There are several important shifts impacting data management and database administration that cause manual practices and procedures to be ineffective. Data Growth But No DBA […].

Trends in Enterprise Data Architecture and Model Deployment


The goal of this survey was to uncover trends in data architecture in the enterprise, specifically in the context of operationalizing machine learning models.

How to Develop the Essential Data Architecture for Your Digital Transformation Strategy


On the other hand, any business that does… The post How to Develop the Essential Data Architecture for Your Digital Transformation Strategy appeared first on Treehouse Tech Group. Data Strategy Digital Transformation

The Never-Ending To-Do List of the DBA

The Data Administration Newsletter

If you are currently a DBA, I bet you can relate to the title of this article. Doesn’t it seem like there are always more things to do at the end of any given day? The sad truth, though, is that many people do not know what a DBA is, does, or why they are […].

Data Mesh and Unified Data Access Governance

The Data Administration Newsletter

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.

All in the Data: Governing Data Mesh and Fabric

The Data Administration Newsletter

Data Governance is defined as the execution and enforcement of authority over the management of data and data-related assets.1 This column explains the overlap and relationship between data […].

Data Speaks for Itself: Data Speaks as Product

The Data Administration Newsletter

One of the greatest contributions to the understanding of data quality and data quality management happened in the 1980s when Stuart Madnick and Rich Wang at MIT adapted the concept of Total Quality Management (TQM) from manufacturing to Information Systems reframing it as Total Data Quality Management (TDQM).

Big Data Modeling Improves Business Intelligence

The Data Administration Newsletter

Through big data modeling, data-driven organizations can better understand and manage the complexities of big data, improve business intelligence (BI), and enable organizations to benefit from actionable insight.

Converting Big Data into Actionable Intelligence

The Data Administration Newsletter

In today’s world, access to data is no longer a problem. There are such huge volumes of data generated in real-time that several businesses don’t know what to do with all of it. Unless big data is converted to actionable insights, there is nothing much an enterprise can do.

Things the Database Administrator Hears

The Data Administration Newsletter

Picture this scene: It is a little after 5 p.m. on a Friday and a chat message pops up from my “favorite” application programmer. Something isn’t working properly. Yes, that is the message. Something” isn’t working properly. That’s all. “OK,” I say.

Technologies that Could See Significant Growth

The Data Administration Newsletter

While we have seen a change in the calendar year, one initiative that continues to be a top priority for businesses is storing, managing, accessing and optimizing corporate data. With the new year events well behind us, we’re steadily focused on moving forward in 2021.

Metadata Improves Security, Quality, and Transparency

The Data Administration Newsletter

They use data better. How does Spotify win against a competitor like Apple? Using machine learning and AI, Spotify creates value for their users by providing a more personalized experience.

Data Value Chain: Enterprise Data Management (EDM) Framework (Lego Version)

The Data Administration Newsletter

Data driven organizations are innovating faster than ever.

Big Data Opportunity in Manufacturing

The Data Administration Newsletter

The world now runs on Big Data. Defined as information sets too large for traditional statistical analysis, Big Data represents a host of insights businesses can apply towards better practices. But what exactly are the opportunities present in big data?

Why Your Startup Needs Data Science


Top-quality data currently represents one of the most important resources for any company. Startups that lack familiarity with important tendencies and trends in their industry need to have this crucial data […].

The Changing Database Landscape

The Data Administration Newsletter

When you’ve been involved in data management for as long as I have, things are definitely bound to change. And things have changed, quite a lot, in fact.

None Shall Pass! Are Your Database Standards Too Rigid?

The Data Administration Newsletter

Rigidly adhering to a standard, any standard, without being reasonable and using your ability to think through changing situations and circumstances is itself a bad standard. I guess I should quickly define what I mean by a “database standard” for those who are not aware.

Data Gravity and Cloud Computing

The Data Administration Newsletter

Cloud computing is growing rapidly as a deployment platform for IT infrastructure because it can offer significant benefits. But cloud computing is not always the answer, nor will it replace all of our on-prem computing systems anytime soon—no matter what the pundits are saying.

The Book Look: Collecting, Connecting, and Correcting the Dots

The Data Administration Newsletter

I know very few people who specialize in one area of IT/business architecture yet have practical knowledge of how all of the areas fit together. Roger has expertise in business process management, but has deep and vast knowledge of all facets of an organization’s business architecture.

Tales & Tips from the Trenches: Edge Computing Challenges and Strategies

The Data Administration Newsletter

Edge Computing Challenges By shifting computing power and data storage closer to those devices on the network, edge computing has managed to secure benefits such as: faster response times, improved reliability, and superior cost […].