Explore how Lyftrondata is empowering enterprises to build and automate ETL/ELT data pipelines within minutes for Snowflake to run real-time analytics.
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.
Join our upcoming webinar where industry experts will discuss 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 and 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.
Speaker

Javed Syed
Co-Founder & CTO at Lyftrondata
Hosts

George Firican & Diana Firican
Founders at LightsOnData