Multi-Tenant NoSQL NewSQL Cloud-Data Design Patterns Workshop
Central Iowa Software Symposium
Des Moines · August 5 - 7, 2016
About this Presentation
We are all familiar with the 3rd Normal form. Does that scale? What are the best practices for designing resilient, multi-tenant, performant databases? In this talk, we will explore the database evaluation process, where we will make choices on technology stacks based on requirements and analyzing the CAP theorem. We will discover different Consistency, Availability, and Partition Tolerance techniques, investigate No-SQL databases, and help new cloud deployments using the 3rd Platform.
Big data has characteristics in the new Cloud domain, which requires storing various data for different use-cases. We will explore the Document data store, Key-value, Columnar NoSQL, and Graph NoSQL databases.
Next, we will look at how to do data modeling for NoSQL columnar databases to support highly available partition tolerant use-cases. We will discover different strategies to help multi-tenant requirements. In the end, we will look at how to choose the right database? We will also see the future of Databases compared to Consistency Models, Schema Models, Database Languages, and Database storage.
A few of the technologies we will explore are
- Cassandra and SPARK
- Amazon DynamoDB
- MongoDB, HBase
- REDIS, MemcacheDB,
- RDF / SPARQL
- Graph Databases, Neo4J
This talk is ideal for the following roles:
- Architects
- Technical Leads
- Programers
- Integration Architects
- Solution Architects
Director, AI & Data Architecture at Salesforce | Author | Enterprise AI
Rohit Bhardwaj is a Director of AI & Data Architecture at Salesforce, where he focuses on enterprise AI, agentic systems, cloud-native architecture, distributed systems, data platforms, security, and large-scale transformation.
Over his career, Rohit has designed and led complex enterprise platforms across AWS, Google Cloud, microservices, real-time data, API ecosystems, resilient distributed systems, and AI-enabled architectures. His work increasingly focuses on the challenges enterprises face as software evolves from deterministic services to AI-native and agentic systems—particularly around reliability, governance, evidence, security, observability, cost, and safe autonomy.
Rohit is the author of System Design with AI Interview Guide: Designing Scalable, Agentic, and Defensible Systems, published by Apress. The book presents a modern approach to system design covering scalability, distributed systems, AI architecture primitives, security, reliability, economics, agentic systems, and real-world architectures including e-commerce, ride sharing, payments, fraud detection, messaging, video streaming, file storage, and search. (Springer Link)
Book:
Amazon: https://a.co/d/09Zs1twa
Publisher / Springer Nature: https://link.springer.com/book/10.1007/979-8-8688-2782-2
O'Reilly: https://learning.oreilly.com/library/view/system-design-with/9798868827822/
Rohit is also an O’Reilly instructor and a frequent speaker at technology conferences including No Fluff Just Stuff, UberConf, GIDS, and other international events. His talks focus on practical architecture lessons from building and operating complex systems, including AI control planes, trusted agents, inference at scale, evidence-first RAG, AI security, distributed-system failure, and AI-era software architecture.
As a trusted advisor and architecture leader, Rohit works at the intersection of business strategy and deep technical architecture—helping teams translate complex business problems into scalable, resilient, secure, and economically sustainable systems.
Rohit holds an MBA in Corporate Entrepreneurship from Babson College and graduate-level education in Computer Science from Boston University and Harvard University.
Connect with Rohit:
LinkedIn: http://linkedin.com/in/rohit-bhardwaj-cloud
X / Twitter: @rbhardwaj1