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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:
- MongoD
- AWS DynamoDB
- Couchbase
- Azure Cosmos DB
- Elasticsearch
- Cassandra
- HBase
- Google Firebase/Firestore
- Neo4j
- MarkLogic
- 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 and CEO of Hackolade. He leads 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 in Polyglot Data Modeling for NoSQL databases and JSON in RDBMS. It is the only data modeling tool for MongoDB, Neo4j, Cassandra, BigQuery, Couchbase, Cosmos DB, Databricks, DocumentDB, DynamoDB, Elasticsearch, EventBridge Schema Registry, Glue Data Catalog, HBase, Hive, JanusGraph, MariaDB, MarkLogic, MySQL, PostgreSQL, Redshift, Snowflake, SQL Server, Synapse, Teradata, TinkerPop, Trino/Starburst, YugabyteDB, etc. It also applies its visual design to Avro, JSON Schema, Parquet, ProtoBuf, YAML, Swagger, and OpenAPI and is rapidly adding new targets for its physical data modeling engine.
The software helps 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.
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