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FAQ Demos Free trial Sign in An automated big data modeling tool for Apache Cassandra that dramatically simplifies and streamlines database design. Try Intro Using for automated data modeling in Cassandra to support a digital library portal: Online Retail Data Using for data modeling of online retail data (e.g., ebay). More complex data model with several advanced features: Specifying Access Patterns A simple data modeling example, explained in greater detail. Demonstrates, among other things, how to specify access patterns in : follows the Chebotko data modeling methodology for Cassandra and ensures logically correct schema design. Learn More Why use ? The Kashliev Data Modeler () is a powerful big data modeling tool that automates schema design for Apache Cassandra, a distributed NoSQL database. employs a novel query-driven approach to database design that significantly differs from the traditional methodology used with relational databases. Using its intuitive web-based GUI, brings the user through the entire data modeling cycle, that starts with a conceptual data model and data access patterns, and ends with a physical data model, or a database schema. automates the most complex, error-prone, and time-consuming data modeling tasks: conceptual-to-logical mapping, logical-to-physical mapping, physical optimization, and CQL script generation. dramatically reduces time, simplifies, and streamlines Cassandra database design. Let us help you! Try © DataFluent Inc. 2019. All rights reserved. FAQ Demos Free trial Sign in Contact...