Quick, Easy, and Flexible Data Model Diagrams

Dataversity

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.

2021: Three Game-Changing Data Modeling Perspectives

Dataversity

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

Dataversity

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

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.

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.

Maximizing Your Data Fabric’s ROI via Entity Data Modeling

Dataversity

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.

9 Skills You Need to Become a Data Modeler | Simplilearn

Simplilearn

Data Modeling has recently emerged as one of the best skills to have in the extremely competitive industry of data science for database generation. What is Data Model.

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.

Apache Storm: Data Model, Architecture and Components | Simplilearn

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 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.

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.

Data Model Development Using Jinja

Sisense

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

Sisense

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

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)

Dataversity

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.

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

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.

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.

Video – ‘Basics of data modelling – Part 1’

Capiro

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.

Computing: A Human Activity!

Dataversity

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

Sisense

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

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

Dataversity

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?

Dataversity

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

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).

Online Machine Learning: Into the Deep

Dataversity

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.

Ten Use Cases to Enable an Organization with Metadata and Catalogs

Dataversity

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.

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.

Solving the Right Problem: A Case Study in Risk Management

Dataversity

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.

Where Is the Data Technology Industry Headed?

Dataversity

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.

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 […].

Why the Next Generation of Data Management Begins with Data Fabrics

Dataversity

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

Dataversity

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

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

Dataversity

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.

How Hedge Funds Utilize Data Trends

Dataversity

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.

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.

Rethinking Extract Transform Load (ETL) Designs

Dataversity

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 […].