- 38
- 63 229
Ellie
Приєднався 30 вер 2020
Ellie is a data product design tool.
We're building a hub for data products, connecting business users, information architects, data modelers, and data engineers so that companies can get actual value from their data products.
- Data modeling (conceptual, logical, physical)
- Shared glossary (quasi data catalogue that even business users understand)
- Connectors to databases and catalogs so that everyone can use Ellie as the hub for data product design
- AI assistance to bridge the gap between data professionals, analysts, and business domain experts
You can read more about us at ellie.ai.
We're building a hub for data products, connecting business users, information architects, data modelers, and data engineers so that companies can get actual value from their data products.
- Data modeling (conceptual, logical, physical)
- Shared glossary (quasi data catalogue that even business users understand)
- Connectors to databases and catalogs so that everyone can use Ellie as the hub for data product design
- AI assistance to bridge the gap between data professionals, analysts, and business domain experts
You can read more about us at ellie.ai.
Enterprise Data Management: Introducing Subfolders & Sub-glossaries in Ellie
Folders offer the ability to have a multi-level structure to manage multiple glossaries and domain-specific data models.
Learn more in our blog: www.ellie.ai/blogs/introducing-a-better-way-to-organize-your-ellie-environment-folders
Join our Slack Community: ellie.ai/slack-community
#enterprisedata #dataarchitecture #enterprisedatamodel
Learn more in our blog: www.ellie.ai/blogs/introducing-a-better-way-to-organize-your-ellie-environment-folders
Join our Slack Community: ellie.ai/slack-community
#enterprisedata #dataarchitecture #enterprisedatamodel
Переглядів: 68
Відео
Autodraw, Automatic Versioning & Restoring Model Versions
Переглядів 442 місяці тому
Introducing our autodraw feature for all models, and the ability to restore older versions of models
Analytics Engineering Made Simple with Ellie
Переглядів 1593 місяці тому
Read in from your data warehouse, generate metadata to understand it better, and push to Github to do transformations using dbt. #snowflake #dbt #github
Introducing Model Versioning in Ellie
Переглядів 814 місяці тому
Read more in our blog: www.ellie.ai/blogs/ellie-6-8-ellie-version-6-8-introducing-model-versioning
We're releasing Ellie 6.5. Here's everything you need to know.
Переглядів 2266 місяців тому
Whiteboard - Your Collaboration Canvas This new canvas enables teams to collaborate like they would in Miro or Lucidchart, but with the added benefit of the context of your data modeling tool. Personal Collection Workflow Another addition is the Personal Collection Workflow. In Ellie, the Personal Collection acts like a draft folder where users can model independently.This upgrade enables users...
Gathering Requirements to Implementing Data Products on One Data Management Platform
Переглядів 1877 місяців тому
Our AI-assisted conceptual ER diagrams enables faster requirements gathering. The data team can then transform it into logical as well as physical data models. Once the model is finalized, you can generate SQL code (DDL statements) within Ellie to create your data product (a data warehouse or a data mart or whatever supports your analytics effort). #dataanalytics #dataproductdesign #genai #data...
Physical Modeling with Ellie
Переглядів 1487 місяців тому
Our data product design tool gets better with the ability to add a physical layer on top of conceptual ER diagrams and logical data models. Convert from one to the other and generate SQL code.
How Easy is it for a Domain Expert to Create Data Models?
Переглядів 1178 місяців тому
Why would you want #GenAI to model data? 🤔 Not because AI is better at #data modeling than a professional. It's not about human vs machine. But GenAI combines two skills to produce a model that crunches the time it takes to gather initial requirements and produce the first draft of a model. 🧠 🤖 Which skills? #GenAI works just as well for a doctor or an engineer as it does for the head of logist...
Bringing Business & Data Teams Closer with AI-Assisted Data Modeling
Переглядів 1949 місяців тому
Why would you want #GenAI to model data? 🤔 Not because AI is better at #data modeling than a professional. It's not about human vs machine. But GenAI combines two skills to produce a model that crunches the time it takes to gather initial requirements and produce the first draft of a model. 🧠 🤖 Which skills? #GenAI works just as well for a doctor or an engineer as it does for the head of logist...
How to Reverse Engineer Your Database With Ellie
Переглядів 1699 місяців тому
How can data teams deliver fast if they're constantly (re)building data warehouses? 🤔 There's often no visibility of what exists and how it can be (re)used. Data teams build warehouses so that new business requirements can be met fast. This doesn't happen in the real world. Because warehouses are built parallelly for different teams, source systems get updated, people change jobs & documentatio...
Turn Diagrams to Data Models using Ellie.ai
Переглядів 18910 місяців тому
Our latest AI Beta features allows people to draw out diagrams in Ellie.ai and turn them into first version of their conceptual data models. Get your free trial and try it here - www.ellie.ai/free-trial
AI Chat Bot for building Data Models - Ellie.ai
Переглядів 45810 місяців тому
Our latest AI Beta features allows people to chat with Ellie AI and build Conceptual Data Models by having a conversation. Get your free trial and try it here - www.ellie.ai/free-trial
AI-Powered Text-to-Data Model - Ellie.ai
Переглядів 18110 місяців тому
Our latest AI Beta feature allows people to share text documents and user stories and turn them into the first version of their conceptual data model. Get your free trial and try it here - www.ellie.ai/free-trial
Bring Back Data Modeling - Joe Reis, Ellie.ai Fireside Data Chat #2
Переглядів 422Рік тому
We're back with a new episode of Fireside Data Chat, this time with the one and only Joe Reis, who is one of the biggest influencers in the data space, and a co-author behind one of the best-selling books "Fundamentals of Data Engineering". In this Episode Juha and Joe discuss all things data modeling, what can we learn from past mistakes, and what the future holds. Captions are auto-generated ...
Introducing Ellie 5.0: Conceptual Canvas Upgrade
Переглядів 247Рік тому
Discover the latest improvements in Ellie 5.0, focused on enhancing your conceptual modeling process. This update brings refined features and a smoother user interface, allowing for a more efficient and enjoyable experience. What's New: - Updated Conceptual Modeling Canvas: Streamlined for better performance. - User Experience Improvements: Simplified navigation and operation. - Advanced Techno...
Turn Data Output into Business Outcome - The Definitive Guide [Webinar, Ellie.ai]
Переглядів 224Рік тому
Turn Data Output into Business Outcome - The Definitive Guide [Webinar, Ellie.ai]
When to build or kill your Data Product ideas - Ellie.ai
Переглядів 139Рік тому
When to build or kill your Data Product ideas - Ellie.ai
How to add Business Context to your Data Catalog - [Webinar, Ellie.ai]
Переглядів 788Рік тому
How to add Business Context to your Data Catalog - [Webinar, Ellie.ai]
Why Use Ellie.ai? Full Workflow & Feature Overview
Переглядів 1,3 тис.Рік тому
Why Use Ellie.ai? Full Workflow & Feature Overview
Logical Model Import - Ellie Version 4.6 Release
Переглядів 262Рік тому
Logical Model Import - Ellie Version 4.6 Release
Building an End-to-End Data Vault - Ellie.ai + Wherescape Integration
Переглядів 708Рік тому
Building an End-to-End Data Vault - Ellie.ai Wherescape Integration
Data Modeling in the Age of Data Mesh - Juha Korpela, Ellie.ai
Переглядів 987Рік тому
Data Modeling in the Age of Data Mesh - Juha Korpela, Ellie.ai
How to read Logical Data Models - Ellie.ai
Переглядів 2,4 тис.Рік тому
How to read Logical Data Models - Ellie.ai
How to read Conceptual Data Models - Ellie.ai
Переглядів 3,1 тис.Рік тому
How to read Conceptual Data Models - Ellie.ai
Common Mistakes in Conceptual and Logical Data Modeling - Ellie.ai
Переглядів 15 тис.Рік тому
Common Mistakes in Conceptual and Logical Data Modeling - Ellie.ai
Product Thinking for The Data Industry - Fireside Data Chat #1 - Ellie.ai
Переглядів 2182 роки тому
Product Thinking for The Data Industry - Fireside Data Chat #1 - Ellie.ai
How to create Customizable Entity Types in Ellie.ai
Переглядів 4902 роки тому
How to create Customizable Entity Types in Ellie.ai
Conceptual vs Logical Data Models - What are the key differences?
Переглядів 29 тис.2 роки тому
Conceptual vs Logical Data Models - What are the key differences?
Core Ellie Features in Under 3 Minutes - Ellie Demo
Переглядів 8852 роки тому
Core Ellie Features in Under 3 Minutes - Ellie Demo
Great explanation thank you.
disappointing . The idea that a conceptual is business centric and logical is specific to an individual use case contradicts 40 years of concepts from the folks that developed this discipline (Codd, Date, etc.) I guess they're pushing their agenda for their software. Feel free to google the difference between a conceptual and logical model -- you'll get a different answer.
Wow -- it would be difficult to make a more unhelpful video. Diagrams to illustrate the concepts don't show up unti 4:10, and even then they are unrelated to each other and hence fail to illustrate the contrast between conceptual and logical, other than different style of graphics.
A great explanation but I think it lacks an example. Some kind of illustration would more help full
Isn't the sales order row redundant? That's an instance of the sales order entity and not really a conceptual entity, right? Or why do we have a sales order row entity, but not a address row or product row for example?
please no background sound; it's easier to understand without it. Thank you
So in this model, a Sales Order Row can contain many Products? That's unusual...
stop using background music
hate the background music
Your content is good. However, I dont prefer background music during the entire video (just a suggestion) 😊
I totally agree. Its distracting.
👍
Very well explained. Thank you!
I have a question. In conceptual model, can two entities be associated with both direct and indirect relationship? e.g. engineer inspects item. This inspection generates inspection report. So entity 'engineer ' can have a relationship 'inspects' with entity 'item'. Also entity 'engineer 'can have a relation 'conducts' with entity 'item inspection'. Entity 'item' will have a relationship 'undergoes' with entity 'item inspection'. Is it valid?
Hi, our in-house modeling expert's response: "A valid model would be something like this (image link added). We don't need a direct relationship between 'Item' and 'Engineer' since 'Item' is not dependent on 'Engineer' (and vice versa). One 'Item Inspection' relates to exactly one 'Engineer' and exactly one 'Item'. So one instance of 'Item Inspection' tells the story needed to show that an 'Engineer' inspects an 'Item'. drive.google.com/file/d/1UXZUOCSPp3O_DsGJqtKzHhYv8GGgw2-N/view
Thanks for the video The music in the background is however too loud in my opinion and is negatively affecting the quality
Good video, will recommend👍
Thanks🥺💗💗💗💗💗💗💗💗💗💗💗💗💗💗
Nice overview.
Promo*SM
Thank you, very clear and useful explanation
When it comes to Business - Data dialogue, this webinar is an absolute gem. The dialogue is not only about comms but, in fact, how data capabilities are to be built overall. Concept design is foundational to pretty much everything else.