Ascend.io and Looker Unify ETL Across Data Lakes, Warehouses, and Pipelines

Through Ascend’s new, native integration for Looker, data teams can now reach beyond the data warehouse to directly connect, explore, and unify live data from data lakes, warehouses, and pipelines
Ascend.io Expands Its Unified Data Engineering Platform and Accelerates the Economics of Data with the Release of Ascend Govern

An Industry First, Data Teams Can Now Calculate Data’s ROI to Demonstrate Business Impact with Integrated Cataloging, Costing, Lineage, Security and Reporting
Ascend Assembles Executive Advisory Council to Explore the Data-Driven Transformation of Business, Technology, and Society

Visionary Leaders from Microsoft, Google and More to Join Summit
Ascend Brings Declarative Pipelines to DataOps Workflows for Safe and Predictable Data Engineering at Scale

Declarative definitions, automated workflow integrations, and zero downtime pipeline deployments provide speed, flexibility, and stability across data lifecycle
Ascend Debuts Structured Data Lake for Unified and Optimized Access to the Entire Data Lifecycle

Intelligent data storage layer managed by Ascend now accessible to external processing engines, notebooks, and more to extend usability across the ecosystem
Ascend Introduces Industry’s First Queryable Dataflows

New capability combines the interactivity of data warehouses with the scale and flexibility of data pipelines for a seamless development experience
Ascend Launches with $19M in Funding to Create Automated and Intelligent Dataflows to Power Successful Digital Transformations

Advisors Include Industry Luminaries Microsoft CTO Kevin Scott and Former Sun Microsystems CEO Scott McNealy
Ascend Unveils World’s First Autonomous Dataflow Service

Data Engineers Can Create Continuously Optimized, Apache Spark-Based Pipelines with 85% Less Code