Hackolade

Hackolade is pioneering the field of data modeling tools and schema design for modern technologies serving data-at-rest (storage) and data-in-motion (communication.) Hackolade tool presents the unique ability to infer schemas and represent hierarchical and polymorphic structures in user-friendly Entity-Relationship Diagrams.
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Organisational challenges of Leveraging Big Data with Hackolade

Global organisations are collecting and analysing large volumes of data from a variety of sources, creating a need for modelling tools. However, interpreting data without a clear definition of its meaning can be complicated and even detrimental. Data models and schemas, such as ‘blueprints’ for databases and transfers, are an effective way to represent them.

Hackolade is easy to use and understand, yet it also includes sophisticated graphics and graphical data modelling that make it easy to incorporate NoSQL technology. In addition, Hackolade helps you achieve greater transparency and control, which, in turn, translates into faster application development, higher application quality and reduced execution risk across the enterprise.

As a data model is built, Hackolade generates reverse-engineering scripts in real time. In addition, it also reverse-engineers data models from existing database instances and data lakes. Consequently, this allows a data modeller or architect to add descriptions, features, and constraints to the model. All of this, in this way, fosters communication between analysts, designers, architects, developers, and database administrators. As a result, it improves data quality and data governance for AI, machine learning, and natural language processing.

Currently, it is the only data modeling provider for MongoDB, Neo4j, Cassandra, Avro, Parquet, Couchbase, Cosmos DB, DynamoDB, Elasticsearch, Firebase, Firestore, EventBridge Schema Registry, Glue Data Catalog, HBase, Hive, JanusGraph, MariaDB, MarkLogic, Snowflake, SQL Server, Synapse, TinkerPop, etc.

Benefits of using this Hackolade software

Firstly, improvement of data quality.
In addition, compliance with privacy regulations and GDPR.
Along with documentation and knowledge transfer.
On the other hand, better integration.
Likewise, faster time to market.
And finally, higher quality of applications.

Qualities of Hackolade:

Graphic Visualisation (Intuitive and easy-to-use interface, just enough industry standards, Visual ER diagrams for JSON docs, Graphic hierarchical schema editing)
JSON nested objects (Field properties, Collapsible hierarchical schema view, JSON Schema editor)
Implicit relationships (Denormalized data requires thorough updates)
Forward and Reverse Engineering (Forward-engineering, Reverse engineering)
Data model documentation (HTML, Markdown, or PDF formats)
Team Collaboration (powerful tool for analysts, data architects, designers, developers, and DBAs)
Data Governance (attain the right level of control, Data dictionary, Command Line Interface, Model compare and merge, User-defined custom properties, Naming conventions, Lineage capture, Bulk editing in Excel with export/import, Model-driven API generation, Native Collibra Data Dictionary integration).
Windows, Mac, Linux

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