Discover best practices for cloud-based modern data modeling with Databricks SQL, promoting data democratization, advanced analytics, and a well-architected Lakehouse architecture in our live discussion.
What is data modeling and why it matters
6 steps to data modeling Excellence in medallion architecture
The benefits of upgrading to Unity Catalog
How to leverage proactive model-centric Data Governance
Live demo: Building a data model for Databricks SQL
Q&A
Senior Solutions Architect
Databricks
Siddhesh stands out as a visionary architect, boasting over 14 years of unparalleled expertise in Data Engineering and data architecture across diverse cloud and non-cloud landscapes.
In his capacity as a Solutions Architect within the Retail sector at Databricks, Siddhesh harnesses his mastery to empower retail customers spearheading the creation of pioneering data solutions and strategic initiatives on the groundbreaking Databricks Data Intelligence platform.
Siddhesh is helping retail customers in revolutionizing Data Engineering capabilities by orchestrating advancements in Delta Live Tables (DLT) and Workflow optimization. Siddhesh also architects solutions in Machine Learning realms, championing advancements in Model and Feature management, alongside seamless model serving. Furthermore, he architects Data Warehousing landscapes with innovations in DBSQL and dashboard development.
Siddhesh is at the forefront of guiding clients through their transformative GenAI journey, employing cutting-edge methodologies such as RAG, LLMOps, and Vector indexing to unlock unprecedented insights and drive tangible business outcomes.
Product Evangelist
SqlDBM
Keith Belanger is a Sr. Data professional with over 27 years in Data Management, mainly in the Data Strategy, Architecture, and Modeling space. Belanger says, "Data modeling was my first data love and has been a passion ever since. I have been a leader and mentor of countless data modeling teams in both the Operational & Analytical Space."