The Align > Refine > Design Series, by Steve Hoberman and industry experts
The Align > Refine > Design series covers conceptual, logical, and physical data modeling (schema design and patterns) for leading technologies, combining proven data modeling practices with database-specific features to produce better applications.
Cassandra use cases
ACID transactions at scale
Data deletion and tombstones
Alter Operations in CQL
Cassandra data types
Data modeling and schema design
Data model explanation
Three model characteristics
Three model components
Attributes and keys
Three model levels
Business terms (Align)
Three model perspectives
Our animal shelter
Step 1: Ask the six strategic questions
Step 2: Identify and define the terms
Step 3: Capture the relationships
Step 4: Determine the visual
Step 5: Review and confirm
Step 1: Apply elicitation techniques
Step 2: Refine queries
Step 3: Capture attributes and relationships
Step 1: Select database(s)
Step 2: Add secret sauce
Cassandra data modeling patterns
Calculating partition size
Time to Live (TTL)
Cassandra data modeling anti-patterns
Lightweight Transactions (LWT)
Materialized views and secondary indexes
Unfrozen collection types
Additional Cassandra features
Cassandra index types
Vector search and LLMs
Spark Cassandra Connector
Data migration methods
Zero Down Migrator (ZDM)
Cassandra Data Migrator
Use case examples
Internet of Things (IoT)
Read Cassandra Data Modeling and Schema Design if you are a data professional who needs to expand your modeling skills to include Cassandra or a technologist who knows Cassandra but needs to grow your schema design skills.
The book’s introduction and three chapters cover the Align, Refine, and Design approach. We include what the level does in the name by rebranding Conceptual, Logical, and Physical into Align, Refine, and Design.
The introduction covers the three modeling characteristics of precise, minimal, and visual; the three model components of entities, relationships, and attributes (including keys); the three model levels of conceptual (align), logical (refine), and physical (design); and the three modeling perspectives of relational, dimensional, and query. Chapter 1, Align, is about agreeing on the common business vocabulary so everyone is aligned on terminology and general initiative scope. Chapter 2, Refine, is about capturing the business requirements. That is, refining our knowledge of the initiative to focus on what is essential. Chapter 3, Design, is about the technical requirements. That is, designing to accommodate our model’s unique software and hardware needs.
Align, Refine, and Design—that’s the approach followed in this book and reinforced through an animal shelter case study.
If you are interested in learning how to build multiple database solutions, read all the books in the Align > Refine > Design series. Since each book uses the same template, you can quickly skill up on additional database technologies.
Steve Hoberman is a world-recognized innovator and thought-leader in the field of data modeling. He has worked as a business intelligence and data management practitioner and trainer since 1990. He is the author of Data Modelers Workbench and Data Modeling Made Simple, the founder of the Design Challenges group and the inventor of the Data Model Scorecard®.
Betul O’Reilly is a Solutions Architect at DataStax. She is an experienced Solutions Architect with a strong focus on Cassandra and relational data modeling. Before her role at Datastax, Betul was Principal Cloud Solution Architect at Oracle, focusing on designing and implementing robust Data and AI solutions for EMEA clients and providing detailed architectural guidance. With an impressive track record spanning over 18 years across Telecom, Finance, e-commerce, and IT sectors, Betul has established herself as a dynamic figure in data management, analytics, and data science.
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