Tales of Data Modelers


Reading Larry Burns’ “Data Model Storytelling” (TechnicsPub.com, 2021) was a really good experience for a guy like me (i.e., someone who thinks that data models are narratives). The post Tales of Data Modelers appeared first on DATAVERSITY.

2021: Three Game-Changing Data Modeling Perspectives


So, I had to cut down my January 2021 list of things of importance in Data Modeling in this new, fine year (I hope)! The post 2021: Three Game-Changing Data Modeling Perspectives appeared first on DATAVERSITY. Click to learn more about author Thomas Frisendal.


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Quick, Easy, and Flexible Data Model Diagrams


And we have short delivery cycles, sprints, and a lot of peers to share data models with. The post Quick, Easy, and Flexible Data Model Diagrams appeared first on DATAVERSITY. Click to learn more about author Thomas Frisendal. Many of us have a lot to do.

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.

What’s in a Name? (aka Data Modeling What?)


aka Data Modeling What?) Data Blogs | Information From Enterprise Leaders Data Education Data Modeling Blogs Data Modeling News, Articles, & Education Database Blogs Database News, Articles, & Education data modeling edges four-color map graph theory graphs topography vertices

Maximizing Your Data Fabric’s ROI via Entity Data Modeling


Data fabrics are emerging as the most effective means of integrating data throughout the enterprise. They deliver a single access point for all data regardless of location — whether it’s at rest or in motion. Click to learn more about author Dr. Jans Aasman.

Data Modeling for Quality

The Data Administration Newsletter

In this article, I describe a method of modelling data so that it meets business requirements. Central to this method is that modelling not only the required data, but also the subset of the real world that concerns the enterprise.

Stages and Types of Data Models

The Data Administration Newsletter

Three different types of data models exist, each of which plays a distinct role in data modeling. They help an organization’s efforts in organizing, understanding, and making productive use of enterprise data resources.

Improve Data Governance with These Data Modeling Tips

The Data Administration Newsletter

Data Governance describes the practices and processes organizations use to manage the access, use, quality and security of an organizations data assets. The data-driven business era has seen a rapid rise in the value of organization’s data resources.

The Book Look: Data Model Storytelling

The Data Administration Newsletter

Larry Burns’ latest book, Data Model Storytelling, is all about maximizing the value of data modeling and keeping data models (and data modelers) relevant.

Apache Storm: Data Model, Architecture and Components | Simplilearn


Apache Storm is a real-time stream processing system, and in this Apache Storm tutorial, you will learn all about it, its data model, architecture, and components. It helps to process big data.

The Story of my Book, “Expert Data Modeling with Power BI”

BI Insight

In March 2020 the … Continue reading The Story of my Book, “Expert Data Modeling with Power BI” The post The Story of my Book, “Expert Data Modeling with Power BI” appeared first on BI Insight.

How to Create a ‘Less is More’ Stakeholder-Friendly Data Model in Minutes

Modern Analyst

Many BAs struggle to produce ‘normalized’, function-independent data models (or don’t produce them at all). Very few business stakeholders can appreciate such models as “… a picture worth a thousand words.” ” This article describes an easy-to-create, simple-to-understand view data model. The view is of just those records involved in an information system capability supporting a specific business activity.

Data Model Development Using Jinja


Every aspect of analytics is powered by a data model. A data model presents a “single source of truth” that all analytics queries are based on, from internal reports and insights embedded into applications to the data underlying AI algorithms and much more.

Building Better Data Models to Unlock Next-Level Intelligence


You can’t talk about data analytics without talking about data modeling. The reasons for this are simple: Before you can start analyzing data, huge datasets like data lakes must be modeled or transformed to be usable. What is data modeling?

What is Data Modelling? Overview, Basic Concepts, and Types in Detail | Simplilearn


Data is changing the way the world functions. It can be a study about disease cures, a company’s revenue strategy, efficient building construction, or those targeted ads on your social media page; it is all due to data. For example, customer data is meani.

A Guide to Predictive Data Analytics (Making Decisions for the Future)


Everyone wants to succeed in their business, but some might choose an unwise approach toward it, while others might mess with the wrong set of data. The post A Guide to Predictive Data Analytics (Making Decisions for the Future) appeared first on DATAVERSITY.

How Transformer-Based Machine Learning Can Power Fintech Data Processing


Machine learning (ML) has enabled a whole host of innovations and new business models in fintech, driving breakthroughs in areas such as personalized wealth management, automated fraud detection, and real-time small business accounting tools.

Top 24 Data Modeling Interview Question and Answers in 2021 | Simplilearn


It’s a given that if you want to ace your next job interview, you first need to make sure your qualifications are worthy. But there is more you can do to help weigh the odds in your favor. Knowing your stuff is essential, yes, but so is being prepared.

Video – ‘Basics of data modelling – Part 1’


This video introduces the basics of data modelling. Data modelling is fundamental to creating a business level data architecture. The business view is of course highly simplified; we are trying to explain data modelling, not the business of insurance. The concept identifies the attributes, or data items, for each concept. Data modelling at the business level is sometimes described as concept modelling. Introduction.

Data Modeling Pulls it All Together for the Business!

ElegantJ BI

Put simply, predictive analytics is a method used to forecast and predict the future results and needs of an organization using historical data and a comprehensive set of data from across and outside the enterprise. Predictive Modeling allows users to test theories and hypotheses and develop the best strategy. It enables more accurate, dependable planning and allows the organization to use fact-based planning, rather than using guesswork or opinion or using incomplete data.

Computing: A Human Activity!


Data Blogs | Information From Enterprise Leaders Data Education Data Modeling Blogs Data Modeling News, Articles, & Education Database Blogs Database News, Articles, & Education Algol-60 data model data modeling data representation data science data structure relational databases SQL

Building Data Models to Empower Self-Service Users


We live in a world of data: There’s more of it than ever before, in a ceaselessly expanding array of forms and locations. Dealing with Data is your window into the ways data teams are tackling the challenges of this new world to help their companies and their customers thrive. One of the keys to a successful, modern company is equipping every worker with the tools, skills, and data they need to do their jobs better and make smarter decisions.

Automate Data Workflows with the New Sisense Data Model APIs


Sisense News is your home for corporate announcements, new Sisense features, product innovation, and everything we roll out to empower our users to get the most out of their data. Introducing the Sisense Data Model APIs. You may be asking “What’s a Sisense Data Model, exactly?”

Why Enterprise Data Planning Is Crucial for Faster Outcomes


Are you planning on strategically using data to improve the efficiencies of your value chains? This can happen with artificial intelligence models that can make a journey interesting for […]. Click to learn more about author Tejasvi Addagada.

Is Machine Learning a Good Fit for Your Product?


Data Blogs | Information From Enterprise Leaders Data Education Data Modeling Blogs Data Modeling News, Articles, & Education Smart Data Blogs Smart Data News, Articles, & Education automation data parsing Machine Learning machine learning models web scraping

Online Machine Learning: Into the Deep


Click to learn more about author Andrea Ferretti. Online learning is a branch of machine learning that has obtained a significant interest in recent years, thanks to its peculiarities that perfectly fit numerous kinds of tasks in today’s world. Let’s dive deeper into this topic.

For the Love of Data: An Overview of Data Modeling for BAs

BA Times

I have always been a data fanatic. It started when I was a programmer analyst and learned to love such arcane data structures as ISAM (a relic), VSAM (simple, but efficient), and later DB2 (powerful and flexible).

Ten Use Cases to Enable an Organization with Metadata and Catalogs


Enterprises are modernizing their data platforms and associated tool-sets to serve the fast needs of data practitioners, including data scientists, data analysts, business intelligence and reporting analysts, and self-service-embracing business and technology personnel.

Solving the Right Problem: A Case Study in Risk Management


Click to learn more about author Steve Zagoudis. Successful problem solving requires finding the right solution to the right problem. We fail more often because we solve the wrong problem than because we get the wrong solution to the right problem.” – Russell L.

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.

Integrating and Visualising Multiple Microsoft To Do Accounts with Power BI

BI Insight

It’s been a while that I use Microsoft To Do to organise my daily tasks. From work-related tasks to buy groceries.

Where Is the Data Technology Industry Headed?


This announcement is interesting and causes some of us in the tech industry to step back and consider many of the factors involved in providing data technology […]. The post Where Is the Data Technology Industry Headed? Click here to learn more about Heine Krog Iversen.

Power BI 101, What Should I Learn?

BI Insight

This is the second part of my new series of Power BI posts named Power BI 101. In the previous post, I briefly discussed what Power BI is. In this post, I look into one of the most confusing parts for those who want to start learning Power BI.

Why the Next Generation of Data Management Begins with Data Fabrics


However, most enterprises are hampered by data strategies that leave teams flat-footed when […]. The post Why the Next Generation of Data Management Begins with Data Fabrics appeared first on DATAVERSITY. Click to learn more about author Kendall Clark.

The Three Techniques for Improving Analytics ROI in the Cloud


In an industry as competitive as eCommerce retail, the ability to turn data into actionable insights presents the opportunity to make business decisions that drive more revenue and control costs. Click to learn more about author Maurice Lacroix.

Retail 202

The Book Look: The Enrichment Game

The Data Administration Newsletter

Doug has spoken many times at our Data Modeling Zone conferences over the years, and when I read the book, I can hear him talk in his distinct descriptive and conversational style. The Enrichment Game describes how to improve data quality and data useability […].

How Hedge Funds Utilize Data Trends


In the hedge fund industry, where investors need to act according to the current circumstances in order to benefit from them, it’s more important than ever for hedge fund managers to know and ride the latest data trends. Click to learn more about author Tom Wilson.

Multidomain vs. Multiple-Domain MDM: The Difference Is More Than You Think


In my eight years as a Gartner analyst covering Master Data Management (MDM) and two years advising clients and prospects at a leading vendor, I have seen first-hand the importance of taking a multidomain approach to MDM. Click to learn more about author Bill O’Kane.

Rethinking Extract Transform Load (ETL) Designs


Click to learn more about author Aditi Raiter. Are you in a work environment where streaming architecture is not yet implemented across all IT systems? Have you ever been in a situation when you had to represent the ETL team by being up late for L3 support only to find out that one of your […].

Ownership of Vocabulary vs. Ownership of Data

The Data Administration Newsletter

Can the responsibilities for vocabulary ownership and data ownership by business stakeholders be separate? I have listened to many presentations and read many articles about data governance (or data stewardship if you prefer), but I have never come across anyone saying they can and should be.

How Data Cleansing Helps Predictive Modeling Efforts

The Data Administration Newsletter

If you are planning on using predictive algorithms, such as machine learning or data mining, in your business, then you should be aware that the amount of data collected can grow exponentially over time.

Becoming a Prized Data Warehouse and Data Integration Tester


Data warehouse (DW) testers with data integration QA skills are in demand. Data warehouse disciplines and architectures are well established and often discussed in the press, books, and conferences. Each business often uses one or more data […].