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.

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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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.

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.

Data Architecture and Design Thinking

Perficient Data & Analytics

Simplicity is a very important strategy as people are thinking of designing their modern data platforms. Design is often a complex task, so I recommend applying strong design thinking to simple goals as you lead your data architecture teams.

Data Architecture: 2.5 Types of Modern Data Integration Tools

Perficient Data & Analytics

As we move into the modern cloud data architecture era, enterprises are deploying 2 primary classes of data integration tools to handle the traditional ETL and ELT use cases. The first type of Data integration tools are GUI-Based Data Integration solutions.

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.

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?

Responsibility of Data Architecture in Data Governance

Perficient Data & Analytics

The data architecture capability will supply the components and standards necessary to implement other capabilities coherently and enable them to work together. An enterprise data model provides a common, well-understood classification of data.

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.

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

Three Key Takeaways from CDAO Europe 2019

Corinium

‘Ethics’, ‘strategy’ and ‘collaboration’ were the words on everyone’s lips when 115 data and analytics leaders descended on Berlin for CDAO Europe 2019 last week. Data Strategy Data Ethics Data Architecture

How to Develop a Sustainable Digital Platform

TDAN

“The digital world is here but our old companies are simply not yet designed for digital.” Jeanne Ross (Designed for Digital) Your business may need to develop a new digital platform to replace your existing application-centric IT solution.

Build an enterprise-ready, modern data architecture based on open source

IBM Big Data Hub

This isn’t surprising given the influx of multiple types of data from disparate sources and the popularity of open source methods to capture and turn it into insight

Introduction to Blockchain for DBAs

TDAN

Blockchain is a distributed, shared, permissioned ledger for recording transactions with consensus, provenance, immutability, and finality. It is the technology that drives virtual currencies like Bitcoin. But its potential spans many more industries and use cases than just virtual currencies.

The Data-Centric Revolution: Report From the Front Lines

TDAN

Earlier this month we hosted the second annual Data-Centric Architecture Forum (#DCAF2020) in Fort Collins, CO. Last year, (2019) we hosted the first Data-Centric Architecture conference.

A Data Architect’s Guide to the Data Catalog

Alation

The post A Data Architect’s Guide to the Data Catalog appeared first on Alation. Data Catalog Alation data architect data architecture data catalog data governance data management

How to Centralize Your Data

TDAN

Many businesses keep their data in silos and employ analytics at a process or departmental level.

The Book Look: New Book on the Data Catalog

TDAN

About a week ago, I was teaching a data modeling class, and an attendee asked me to explain the concept of a data catalog. However, I had recently read the book, The Data Catalog: Sherlock Holmes Data Sleuthing for Analytics by […].

Differences Between ‘Available’ and ‘Accessible’

TDAN

A few months back, our company enjoyed a retreat a few hours north of the city. We bonded, brainstormed, and set visions and goals for the development of our company and our products. We also had bonfires with s’mores, and that’s more relevant than you might think.

Data Warehouse Teams Adapt to Be Data Driven

TDAN

When companies embark on a journey of becoming data-driven, usually, this goes hand in and with using new technologies and concepts such as AI and data lakes or Hadoop and IoT. Suddenly, the data warehouse team and their software are not the only ones anymore that turn data […].

Conceptual Modeling Requires Conceptual and Critical Thinking

TDAN

I am surprised to see a lot of people jumping straight into logical or even physical modeling and skipping conceptual modeling. Don’t they understand the value of conceptual modeling? Don’t they understand the difference between the various levels of modeling? Or do they have cognitive limitations?

Becoming a Data-Driven Company

TDAN

Data-driven companies are more profitable than their competitors and outperform them with regards to the acquiring and retaining of customers [Morris18]. Understanding Data Driven “Data-driven company” is […].

The Difference Between Open Data and Public Data

TDAN

Is there a difference between open data and public data? There is a general consensus that when we talk about open data, we are referring to any piece of data or content that is free to access, use, reuse, and redistribute.

The Data-Centric Revolution: Lawyers, Guns and Money

TDAN

My book “The Data-Centric Revolution” will be out this summer. I will also be presenting at Dataversity’s Data Architecture Summit coming up in a few months. Both exercises reminded me that Data-Centric is not a simple technology upgrade.

Convert From Big Data to Smart Data

TDAN

Did you know that 90% of all data has been generated over the last 2 years? Big Data has been an important topic in the marketing scene for quite some time.

Deep Learning Can Make a Difference

TDAN

Deep learning, as defined by MathWorks, is a system of artificial intelligence that is built around learning by example. Multiple industries have already understood the benefits that deep learning brings to their operational capabilities.

Zen and the Art of Data Maintenance: People Silos Cause Data Silos

TDAN

With the exponential growth of data from so many different sources, data silos (or in other words, separate unintegrated data stores) are more prevalent than ever. However, what is the root cause of data silos?

The Data-Centric Revolution: Semantics and the DAMA Wheel

TDAN

Recently, I was giving a presentation and someone asked me which segment of “the DAMA wheel” did I think semantics most affected. I said I thought it affected all of them pretty profoundly, but perhaps the Metadata wedge the most.

Lean Data Governance Strategies

TDAN

The goal of data governance is to ensure the quality, availability, integrity, security, and usability within an organization. The way that you go about this is up to you.

We Need Data Ethics Now

TDAN

What are the ethics of collecting, managing, and analyzing data? Is it going to come to regulations enforced by government and industry consortiums to make businesses think about data ethics with the goal of truly treating data ethically?

Data Breaches are Pervasive and Costly

TDAN

Unless you’ve been living in a cave somewhere, you’ve certainly heard news about stolen and hacked data, commonly referred to as data breaches. They occur with great regularity, and there is no indication that the frequency of data breaches is slowing down.

Make an Impact: Find the Angry People

TDAN

Whenever I’m invited to a new organization to help with data challenges, I look for them. I love angry people. This may sound strange but bear with me. Here is the reason why angry people are great: They have opinions, and they aren’t afraid of sharing them.

Cloud Computing to Make Noise in 2020

TDAN

Some industry experts say that just a couple of years ago, cloud computing was dismissed as the latest technology trend, which was good for generating a lot of noise.

Cloud-Based Data Mapping Tools

TDAN

Out of its many advantages, the most significant one would be the ability to perform data mapping through cloud-based analytics. Data mapping is an essential process employed in data warehousing to connect separate models to each other.

The Non-Invasive Data Governance Framework – The Details

TDAN

The third and final part of the Non-Invasive Data Governance Framework details the breakdown of components by level, providing considerations for what must be included at the intersections.

Make An Impact: Create More Value with Data Curation

TDAN

Wherever we go, we are overwhelmed by MORE: more sales, more discounts, more fun, more excitement, more features – the list goes on and on! What humans seem to be far less attuned to is reducing what we don’t need.

Sales 69

Developing and Adopting a Common Language

TDAN

Executive Summary It seems obvious enough that companies, government agencies and non-profits would benefit from a common language. Without it, coordinating work is more difficult, computers “don’t talk,” and basic questions such as “how many customers do we have?”

IT 56

Taking the Data Blinders Off

TDAN

Business has a fundamental problem with data quality. In some places it’s merely painful, in others it’s nearly catastrophic. Why is the problem so pervasive? Why does it never seem to get fixed? I believe we’ve been thinking about the problem wrong. It’s time for a fresh look.

IT 56

Database Administration Impacted by the Connected Economy

TDAN

Before the end of the decade, the number of connected objects is projected to expand greatly. According to several different analysts, the number of connected objects by 2020 could be as low as 26 billion or as high as 50 billion. But even the low end of that range is quite large.

Start Thinking About DataOps

TDAN

Everyone’s talking about data. Data is the key to unlocking insight— the secret sauce that will help you get predictive, the fuel for business intelligence. It relies on data. The good news is that data has never […].

DAMA International Community Corner: Update

TDAN

Welcome to DAMA Corner, a source of information for data management professionals here in TDAN.com, the industry leading publication for people interested in learning about data administration and data management disciplines and best practices.

Complicated vs Complex Problems

TDAN

Not that long ago our information needs seemed much simpler. If we wanted to make a phone call, we had a relatively simple device to help us do this, the humble rotary dial telephone. Similarly, for other technologies, they were built to do the job specified as simple as possible.