Download and install Hackolade
In this video, you see how to get going with Hackolade in barely more than 2 minutes.
Hackolade quick tour
This video provides a tour of the application, and a review of the user interface=
Reverse-engineering of a MongoDB instance
The application performs a statistical sampling of each collection, followed by a probabilistic inference of the fields in the documents sampled. Finally, it transforms it into a Hackolade schema. You're now ready to enrich the model with comments and constraints. You can declare and document implicit relationships. In the end, you get a visual representation that lets you easily query the database and perform a better analysis of the data. More info
Create a model from scratch and perform forward-engineering
Create a model from scratch, then generate a MongoDB createCollection script with validation, a Mongoose schema, or a detailed documentation in PDF. More info
SQL DDL reverse-engineering and denormalization assistance
In this video, we reverse-engineer a DDL for the Northwind relational database, then we denormalize it in order to leverage the power of NoSQL document DBs and JSON. More info
Re-usable object definitions
In this video session, we explain in detail the handy feature of Hackolade to facilitate the work of data modelers: it provides the ability to create - once - object definitions that can be re-used in multiple places. More info Online documentation
In this video session, we explain in detail a new Hackolade feature that lets you maintain both a ‘business name’ and a ‘technical name’ for model objects. This feature can be useful if the database target has attribute length limitations for example, or if you wish to store abbreviated field names in the database, while keeping detailed names for documentation purposes. More info Online documentation
Collaboration and Version Control
In this video session, we explain in detail how to leverage the capabilities of Git, to easily collaborate and manage changes in your Hackolade models. We will only go over very basic processes without covering Git advanced features such as forks, branches, pull requests, etc… which would be outside the scope of this video. More info Online documentation
Schema-centric API design with Swagger and OpenAPI
In this video session, we explain how to visually design a REST API using Swagger or OpenAPI, using Hackolade's schema-centric approach. Online documentation
Data Modeling is Dead... Long Live Schema Design!
DataStax Accelerate conference: When it comes to managing data for modern, agile environments, is data modeling a roadblock? Or is it in fact one of the keys to achieving agility? If traditional data modeling will no longer support what businesses need today, what are the alternatives? Related blogpost
NoSQL Data Modeling in Practice
CoMoNoS 2020: 1st Workshop on Conceptual Modeling for NoSQL Data Stores Co-located with the ER 2020 conference.
Increase API Quality and Consistency with Model-Driven API Generation
In this demo session, you’ll see how NoSQL schema designs based on access patterns can be converted into full API specifications with a few mouse clicks, to serve as a basis for API-driven development. A customizable API template lets users control the output configuration and create APIs that customers and developers will love. View slides
Data modeling and schema design for Cosmos DB
Facilitate migration from RDBMS to Cosmos DB through denormalization to leverage the scalability, flexibility, and easy evolution of schemas for Cosmos DB.
In this session, we will demonstrate how data modeling helps harness the power of Cosmos DB, resulting in reduced development time, increased application quality, and lower execution risks across the enterprise.
Collibra Data Dictionary Integration
Collibra and Hackolade have teamed up to develop an integration of their solutions so that schema designs performed in Hackolade Studio and visual Entity-Relationship diagrams can be easily deployed to Collibra. Data Citizens add business context to create a unified view of all data assets, no matter the data storage or data exchange technology. Learn more