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.

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. Here are some of the trends I see continuing to impact data architectures.

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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.

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 technologyUnfortunately, the majority considers it a challenge. Obviously, one of the reasons is that they don’t do this every day. Also, insights about how to design them has changed over time. This article.

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.

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. In simple terms, EA provides a holistic, enterprise wide overview of an organization’s assets and processes, whereas data architecture gets into the nitty gritty. The Value of Data Architecture.

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.

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.

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.

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 […].

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

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.

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?

Knowledge Graphs vs. Property Graphs – Part II

TDAN

Differences in Terminology and Capability Building on the terms and concepts introduced in Part I of this white paper, Part II digs deeper into the difference in the meaning of some key terms used in both Property Graphs and Knowledge Graphs, including LABELS, TYPES, and PROPERTIES.

Knowledge Graphs vs. Property Graphs – Part 1

TDAN

Flexibility is one strong driver: heterogeneous data, integrating new data sources, and analytics all require flexibility. We are in the era of graphs. Graphs are hot.

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

The Data-Centric Revolution: Data-Centric vs. Centralization

TDAN

They had seemingly achieved many of the benefits of becoming data-centric through decentralization: all […].

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 Gartner analysts Merv Adrian and Donald Feinberg in a February 2018 report predict that “by 2022, more than 70 percent of new applications developed by corporate users will run on an open source database management system.”

Data Management 20/20: Anatomy of a Business Glossary Definition

TDAN

The business glossary is simple in concept, but it can be a challenge to structure, define and maintain shared business terminology. Consistent business meaning is important because distinctions between business terms are not typically well defined or documented.

Make An Impact: The Data Catalog is a 1980’s Solution for 2020’s Problems

TDAN

Remember the Sears catalog? Hundreds of pages of clothes quickly flipped past to get to the toys! Who didn’t spend countless hours trying to find the perfect suggested gift for your next birthday or holiday? In an Amazon and eBay world, thinking about old-school catalogs seems so quaint.

Automating Your Corporate Data Estate

TDAN

In the world of data, automation plays a well-honed role in rapidly developing modern data estates. Before we proceed any further, let’s establish an understanding about the purpose of a corporate data estate. Automation has revolutionized industries and business for years.

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.

What DBAs Should Do Before Taking a Vacation

TDAN

Data Architecture Features Data Architecture News, Articles, & Education Data Education Data Features Data Management Features Data Management News, Articles, & Education Data Modeling Features Data Modeling News, Articles, & Education Data Operations Features Data Topics accountability DBA kline performance

Introduction to Blockchain for DBAs

TDAN

Big Data Articles Big Data News, Articles, & Education Data Architecture Articles Data Architecture News, Articles, & Education Data Articles Data Education Data Operations Articles Data Operations News, Articles, & Education Data Strategy Articles Data Strategy News, Articles, & Education Data Topics blockchain database administration databases DBA DBMS mullins

The Mainframe is a Modern Platform

TDAN

Mainframes also can easily handle large amounts of data—multiple terabytes—such as is needed for analytical processing and machine learning. Indeed, the mainframe supports both traditional and modern applications and data management requirements, making it a key component of […]. Mainframes continue to excel at traditional tasks such as high-speed transaction processing and running large batch workloads.

How to Develop a Sustainable Digital Platform

TDAN

Business Intelligence Articles Business Intelligence News, Articles, & Education Data Architecture Articles Data Architecture News, Articles, & Education Data Articles Data Education Data Operations Articles Data Operations News, Articles, & Education Data Strategy Articles Data Strategy News, Articles, & Education Data Topics common information model digital platform sustainability swende vedaa

Data Distancing – What and Why?

TDAN

Big Data Articles Big Data News, Articles, & Education Data Architecture Articles Data Architecture News, Articles, & Education Data Articles Data Education Data Governance Articles Data Governance News, Articles, & Education Data Management Articles Data Management News, Articles, & Education Data Strategy Articles Data Strategy News, Articles, & Education Data Topics data distancing data governance data management kandregula

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.

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. In 2019, the focus was on getting a sketch of a reference architecture (click here to see). These are the highlights. Trip report). We convened shortly after the event […].

Conceptual Modeling Requires Conceptual and Critical Thinking

TDAN

Data Architecture Articles Data Architecture News, Articles, & Education Data Articles Data Education Data Modeling Articles Data Modeling News, Articles, & Education Data Operations Articles Data Operations News, Articles, & Education Data Strategy Articles Data Strategy News, Articles, & Education Data Topics conceptual model critical thinking data model greefhorst

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

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.

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. Centralizing these data silos to create a data mart, warehouse, or lake gives organizations more visibility over operations and results in more accurate analytics that take a wider range of internal and external factors into consideration.

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 […].

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

Broken Data – What You Don’t Know Will Hurt You – Part 1

TDAN

The first step to fixing any problem is to understand that problem—this is a significant point of failure when it comes to data. Most organizations agree that they have data issues, categorized as data quality. Organizations typically define the scope of their data problems by their current (known) data quality issues (symptoms). However, this definition is […].

The Unfolding of the Data-Centric Paradigm – Part 1

TDAN

There is a movement to upend traditional thinking about information systems by putting data and meaning at the center of strategy, architecture, and system development sequencing. It is the most recent of a series of data-centric waves which, over several decades, have attempted to remedy the entrenched application-centric paradigm.

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. And it’s a big one. Due to the way most governments have rolled out […].

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. It’s going to take a great deal more to shift the status quo. Let’s start with Lawyers, […].

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.

Recognizing and Treating “Tableitis”

TDAN

Tableitis (tay-bul-eye’-tus) is a widespread condition suffered by professional data modelers, commonly called “TABLE THINK.” Most professional data modelers suffer from Tableitis… are you one of them?