Thursday, October 11, 2018
10:50 AM - 11:50 AM
NoSQL technology is almost mainstream now. And with self-managed agile development teams embracing the flexibility of JSON in NoSQL document databases, the field of data modeling is too often strictly associated with relational databases, and hence viewed as too rigid and cumbersome. The data modeling actors, roles, lifecycle, processes, and tools are rapidly changing in that context, and the entire field is re-inventing itself to remain relevant and demonstrate its contribution. As it turns out, data modeling becomes even more important when the guardrails provided by normalization have been taken down. At the same time, unstructured and polymorphic big data is creating challenges both in terms of data governance (in the context of privacy regulation - GDPR and PII) and the ability of enterprises to leverage the mountains of information accumulated. Data modeling is now used in production on a daily basis to help discover how data has been stored, in order to help query it effectively and keep it compliant. In this session, you will learn a completely new approach to data modeling, to leverage the power and flexibility of:
- AWS DynamoDB
- Azure Cosmos DB
- Google Firebase/Firestore
- And other NoSQL and multi-model databases
You will also learn how data modeling helps enterprises migrate from RDBMS to NoSQL.
Pascal Desmarets is the Founder/CEO of Hackolade. He leads the company and all efforts involving business strategy, product innovation, and customer relations, as it focuses on producing user-friendly, powerful visual tools to smooth the onboarding of NoSQL technology in corporate IT landscapes.
Hackolade is the pioneer for data modeling of NoSQL databases and design of REST APIs, providing a comprehensive suite of data modeling tools for various NoSQL databases and APIs. Hackolade is the only data modeling tool for MongoDB, Neo4j, Cassandra, Snowflake, Couchbase, Cosmos DB, DynamoDB, Elasticsearch, HBase, Hive, Google BigQuery, Firebase/Firestore, MarkLogic, Amazon Neptune, TinkerPop, ScyllaDB, etc. It also applies its visual design to Avro, JSON Schema, ORC, Parquet, Swagger, and OpenAPI, and is rapidly adding new targets for its physical data modeling engine.
The software is user-friendly and simple to use yet provides powerful visuals and graphic data modeling to smooth the onboarding of NoSQL technology. Its software tools help functional analysts, designers, architects, and DBAs involved with NoSQL technology achieve greater transparency and control, resulting in reduced development time, increased application quality, and lower execution risks across the enterprise.