On-Demand Webinar with Lights On Data Show

How to build data pipelines for Snowflake

With the complexities of low-latency insights and rapidly scalable infrastructure, building data pipelines for Snowflake for high-volume data can be time-consuming and confusing.

Watch our recent webinar where industry experts discussed how Lyftrondata is empowering enterprises to build and automate ETL/ELT data pipelines within minutes for Snowflake to run real-time analytics.

Key Highlights:

  • Reliably execute high-performance transformation using Snowflake.
  • Use Lyftrondata’s automatic ETL data pipeline to connect with the database, load data into Snowflake, and make it available in your favorite BI or analytics tool.
  • Convert data from any source into the normalized, ready-to-query relational format and provide search capability on your enterprise data catalog.
  • Augment, cleanse, filter, standardize and join data easily.
  • Accelerate data modeling, go beyond the limitations of data replication and democratize data management.
  • Automate extraction and loading of data from a wide collection of on-premises and cloud sources to Snowflake.


Javed Syed
Co-Founder & CTO at Lyftrondata


George Firican & Diana Firican
Founders at LightsOnData

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