The complex data environment today makes collaboration extremely difficult for data professionals, resulting in slow time to insight and leaving much value of data unrealised.
To overcome this, many organisations are leveraging Snowpark to bring together data engineers, data scientists, and developers to accomplish all their data tasks in one platform, using the same data. Snowpark removes the need for separate systems for data management, data preparation, and data science by enabling data professionals to code in their language of choice.
Watch this webinar to discover how you can unify all your organisation’s data tasks. Experts will cover:
- How you can build with Snowpark using Java, Scala, and Python
- How to leverage Snowpark Accelerated’s powerful integrations to scale your operations
- Live demos from Dataiku, Talend, and NTT DATA/HashMap
- Example Snowpark use cases and customer stories
AGENDA
Snowpark & Snowpark Accelerated
Develop and operationalise your ML feature pipelines using Snowpark for Python UDFs and Apache Airflow
Dataiku
Discover Dataiku’s unique push down approach for agile and governed ML workflows
Hashmap/NTT Data
Parsing HL7 Messages (Unstructured data) in Snowflake using Snowpark
Talend
How to leverage Talend Trust Score for Snowflake leveraging Snowflake Java UDFs
Speakers
Anoop Sunke
Head of Partner Sales Engineering, Snowflake
Michael Gregory
Principal Data Platform Architect, Field CTO Office, Snowflake
Julian Forero
Senior Product Marketing Manager(ML), Snowflake
Shiyi Gu
Senior Product Marketing Manager, Snowflake
Ripu Jain
Senior Partner Sales Engineer, Snowflake
Prash Medirattaa
Partner Sales Engineer - AI & ML , Snowflake
Stephen Frank
Solutions Architect, Dataiku
David Hrncir
Regional Technical Expert, NTT Data / Hashmap
Venkatesh Sekar
Partner Senior Sales Engineer, Snowflake
Cameron Davie
Partner Solutions Architect, Talend