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.

Modern Data Architecture for Telecommunications


Data has continued to grow both in scale and in importance through this period, and today telecommunications companies are increasingly seeing data architecture as an independent organizational challenge, not merely an item on an IT checklist.


Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

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.

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

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.

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.

Beyond Data Fabrics: Cloudera Modern Data Architectures


The need for data fabric. As Cloudera CMO David Moxey outlined in his blog , we live in a hybrid data world. Data is growing and continues to accelerate its growth. Cloudera data fabric and analyst acclaim. Data fabrics are one of the more mature modern data architectures.

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

Creating an AI-Ready Data Architecture in the Cloud


But the data architectures that feed into them are just as vital. Sophisticated ML-as-a-service platforms such as Facebook’s FBLearner Flow are ideal for delivering AI-at-scale. Automation is what AI algorithms do best.

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

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.

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.

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.

The Top Three Entangled Trends in Data Architectures: Data Mesh, Data Fabric, and Hybrid Architectures


Data teams have the impossible task of delivering everything (data and workloads) everywhere (on premise and in all clouds) all at once (with little to no latency). Data teams are confused as to whether they should get on the bandwagon of just one of these trends or pick a combination.

Breaking State and Local Data Silos with Modern Data Architectures


Data is the fuel that drives government, enables transparency, and powers citizen services. That should be easy, but when agencies don’t share data or applications, they don’t have a unified view of people. Data quality issues deter trust and hinder accurate analytics.

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.

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.

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 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?

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.

The future of data architecture is hybrid: choosing your hybrid-first data strategy starts at Cloudera Now 2022


With all of the buzz around cloud computing, many companies have overlooked the importance of hybrid data. The truth is, the future of data architecture is all about hybrid. Attend Cloudera Now to jumpstart the data-driven future.

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 […].

Driving Success With a Modern Data Architecture and a Hybrid Approach in the Financial Services and Telco Industries


Corporations are generating unprecedented volumes of data, especially in industries such as telecom and financial services industries (FSI). However, not all these organizations will be successful in using data to drive business value and increase profits.

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.

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

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?

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

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 […].

Creating a Vision for Data Integration Modernization


Data is considered by some to be the world’s most valuable resource. Going far beyond the limitations of physical resources, data has wide applications for education, automation, and governance.

Domain-Driven Development, Part 1

The Data Administration Newsletter

Bounded Contexts / Ubiquitous Language My new book, Data Model Storytelling,[i] contains a section describing some of the most significant challenges data modelers and other Data professionals face.

All About Decentralized Cybersecurity

The Data Administration Newsletter

Data Architecture Articles Data Architecture News, Articles, & Education Data Articles Data Education Data Operations Articles Data Operations News, Articles, & Education Data Topics cybersecurity data protction decentralized underdown

Integrate Database Archiving and Recovery

The Data Administration Newsletter

Data archiving is an important aspect of data governance and data management. Not only does archiving help to reduce hardware and storage costs, but it is also an important aspect of long-term data retention and a key participant in regu­latory compliance efforts.

How Hybrid Cloud Security Contributes to Data Protection

The Data Administration Newsletter

The possibility for businesses to achieve efficiency, flexibility, and scalability is greatly enhanced by the fact that cloud computing technology is now available to all types of enterprises and marketplaces.

Domain-Driven Development: Part 4

The Data Administration Newsletter

Metadata is the Magic Behind Data Fabric

The Data Administration Newsletter

The main goal of creating an enterprise data fabric is not new. It is the ability to deliver the right data at the right time, in the right shape, and to the right data consumer, irrespective of how and where it is stored.

Through the Looking Glass: Suspending Judgement on Synthetic Data


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 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.

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 […].

Avoiding Bad Data in Sales Cloud


Insightful and accurate data is the lifeblood of any successful business. Without it, you may find yourself missing out on opportunities or dissatisfaction from your customers— not what we want at all!

Sales 52