Multi-Tennant data Cloud architecture workshop
In this workshop, we will explore database evaluation process where we will make choices on technology stacks based on requirements and analyzing CAP theorem. We will discover different techniques for Consistency, Availability, and Partition Tolerance and investigate how No-SQL databases and helping new cloud deployments using 3rd Platform.
Big data has characteristics in new Cloud domain, which requires storing a variety of data for different use-cases. We will explore Document data store, Key value, Columnar NoSQL and Graph NoSQL databases. Few of the technologies we will explore are Amazon DynamoDB, MongoDB, Hadoop, REDIS, MemcacheDB and RDF / SPARQL, Neo4J, HBase, Cassandra, and SPARK.
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 support multitenant requirements. In the end, we will look at how to choose a right database? Also, we will see what is future of Databases comparing based on Consistency Models, Schema Models, Database Languages and Database storage.
In this workshop, we will explore database evaluation process where we will make choices on technology stacks based on requirements and analyzing CAP theorem. We will discover different techniques for Consistency, Availability, and Partition Tolerance and investigate how No-SQL databases and helping new cloud deployments using 3rd Platform.
Big data has characteristics in new Cloud domain, which requires storing a variety of data for different use-cases. We will explore Document data store, Key value, Columnar NoSQL and Graph NoSQL databases. Few of the technologies we will explore are Amazon DynamoDB, MongoDB, Hadoop, REDIS, MemcacheDB and RDF / SPARQL, Neo4J, HBase, Cassandra, and SPARK.
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 support multitenant requirements. In the end, we will look at how to choose a right database? Also, we will see what is future of Databases comparing based on Consistency Models, Schema Models, Database Languages and Database storage.
About Rohit Bhardwaj
Rohit Bhardwaj is a Director of Architecture working at Salesforce. Rohit has extensive experience architecting multi-tenant cloud-native solutions in Resilient Microservices Service-Oriented architectures using AWS Stack. In addition, Rohit has a proven ability in designing solutions and executing and delivering transformational programs that reduce costs and increase efficiencies.
As a trusted advisor, leader, and collaborator, Rohit applies problem resolution, analytical, and operational skills to all initiatives and develops strategic requirements and solution analysis through all stages of the project life cycle and product readiness to execution.
Rohit excels in designing scalable cloud microservice architectures using Spring Boot and Netflix OSS technologies using AWS and Google clouds. As a Security Ninja, Rohit looks for ways to resolve application security vulnerabilities using ethical hacking and threat modeling. Rohit is excited about architecting cloud technologies using Dockers, REDIS, NGINX, RightScale, RabbitMQ, Apigee, Azul Zing, Actuate BIRT reporting, Chef, Splunk, Rest-Assured, SoapUI, Dynatrace, and EnterpriseDB. In addition, Rohit has developed lambda architecture solutions using Apache Spark, Cassandra, and Camel for real-time analytics and integration projects.
Rohit has done MBA from Babson College in Corporate Entrepreneurship, Masters in Computer Science from Boston University and Harvard University. Rohit is a regular speaker at No Fluff Just Stuff, UberConf, RichWeb, GIDS, and other international conferences.
Rohit loves to connect on http://www.productivecloudinnovation.com.
http://linkedin.com/in/rohit-bhardwaj-cloud or using Twitter at rbhardwaj1.