DataOps, GitOps, and Docker containers are changing the role of Data Modeling, now at the center of end-to-end metadata management.

Success in the world of self-service analytics, data meshes, as well as micro-services and event-driven architectures, can be challenged by the need to maintain the interoperability of data catalogs/dictionaries with the constant evolution of schemas for databases and data exchanges.

In other words, the business side of human-readable metadata management must be up-to-date and in sync with the technical side of machine-readable schemas. This process can only work at scale if it is automated.

It is hard enough for IT departments to keep in-sync schemas across the various technologies involved in data pipelines. For data to be useful, the business users must have an up-to-date view of the structures, complete with context and meaning.

In this session, we will review the options available to create the foundations for a data management framework providing architectural lineage and curation of metadata management.

Speaker: Pascal Desmarets

Founder & CEO
Hackolade

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.