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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.

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Data architecture strategy for data quality

IBM Journey to AI blog

Poor data quality is one of the top barriers faced by organizations aspiring to be more data-driven. Ill-timed business decisions and misinformed business processes, missed revenue opportunities, failed business initiatives and complex data systems can all stem from data quality issues.

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Modern Data Architecture for Telecommunications

Cloudera

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.

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Why Is Data Architecture Important for the Success of AI?

Dataiku

If there’s one thing we’ve learned at Dataiku after talking to thousands of prospects and customers about their data architecture it’s that architecture frameworks tend to be more aspirational than realistic because, at the enterprise level, data architecture is both complex and constantly changing.

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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.

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Creating an AI-Ready Data Architecture in the Cloud

Corinium

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.

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Beyond Data Fabrics: Cloudera Modern Data Architectures

Cloudera

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.

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Building a Modern Data Architecture for the 2020s

DataKitchen

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

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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.

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Data Architecture Movements in 2020

TDAN

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

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The Difference Between Data Architecture and Enterprise Architecture

erwin

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.

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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.

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DataOps: The Foundation for Your Agile Data Architecture

DataKitchen

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.

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How to build a successful cloud data architecture

DataKitchen

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

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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

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Breaking State and Local Data Silos with Modern Data Architectures

Cloudera

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.

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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.

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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.

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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.

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Data Mesh & Its Distributed Data Architecture

KDnuggets

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

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Data Architecture 101: Ensuring Scalability & Security

Dataiku

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.

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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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Modern Data Architecture for Embedded Analytics

Data has gone from a mere result of applications & processes to being crowned king. Picking the right avenue to data architecture depends on your organization’s needs. Development teams should build in stages, starting with a task that can be solved.

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Modern Data Architecture: Data Warehousing, Data Lakes, and Data Mesh Explained

Data Virtualization

Reading Time: 3 minutes At the heart of every organization lies a data architecture, determining how data is accessed, organized, and used.

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

Cloudera

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.

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

Cloudera

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.

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Data Professional Introspective: Data Architecture and the Role of Business

TDAN

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 […].

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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.

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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.

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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

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

Cloudera

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.

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Data Architecture Crash Course: Key Terms

Dataiku

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?

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AI Trends Are Shaping Sales

The Data Administration Newsletter

The sales industry has been witnessing the rise of AI and automation over many years and 2023 will not be an exception.

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Trends in Enterprise Data Architecture and Model Deployment

Dataiku

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

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

KDnuggets

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.

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

TreehouseTechGroup

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

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Learn the Architecture of a Data Pipeline

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Controlling the flow of information from a source to a destination system, such as a data warehouse, is an integral part of any business seeking to generate value from its raw data.

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Bold 2023 Data Predictions

The Data Administration Newsletter

The data world continues to change rapidly and you may want to consider these predictions when planning for the new year. Special thank you to Altair for providing the following set of bold predictions for 2023.

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NoSQL and Multi-Model Database Use Cases

The Data Administration Newsletter

NoSQL database systems continue to gain traction, but they are still not widely understood. There is more than one type of NoSQL database and a large number of individual NoSQL DBMSs.

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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 […].

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Understand Data Pipeline Principles

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction It’s getting easier and faster to build data infrastructure and make data available for production use cases such as self-service business intelligence, machine learning, and a/b testing.

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Data Value Chain: EDM Block (formerly Lego) Framework – Levels 3 & 4

The Data Administration Newsletter

In 2022, we saw that Data Strategy played key role in the success of top performing companies globally. is being “data driven”. This article is continuation of the proposed enterprise data management block […].

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IT Industry Has No Building Code

The Data Administration Newsletter

Data Architecture Blogs Data Architecture News, Articles, & Education Data Education Data Operations Blogs Data Operations News, Articles, & Education Data Topics Package Implementation Blogs Package Implementation News, Articles, & Education coding IT Kjenner software

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