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  • Ascension Labs VIDEO 4

    Explore this resource to learn how Ascend helped Harry’s create flexible, automated data pipelines and more easily integrate data from S3 and other sources into their Looker BI environment.

  • An Assessment of Pipeline Orchestration Approaches

    Download this white paper to learn why, instead of using expensive and brittle workflow automation systems, opting to adopt dataflow automation can lower design and maintenance costs while improving the quality and reliability of data pipelines

  • Ascension Labs VIDEO 2

    What if you could adopt a data pipelining approach that results in 95% less code, 10x faster build times, automated maintenance, and more efficient pipelines? Explore this Ascend.io examination to learn how intelligent orchestration creates declarative pipelines with ease, improving your data integration abilities.

  • How HNI Drives Manufacturing digital Transformation with Data Pipelines

    Read this short case study to learn how Ascend’s data platform helped HNI dramatically accelerate their data pipeline creation, even in the midst of migrating to Azure, allowing them to quickly ingest ERP data and transform it into data ready for analytics and other crucial business tasks.

  • Ascension Labs VIDEO 1

    Access this solution walkthrough to learn how the Ascend.io Unified Data Engineering Platform works and discover how easily you can create dataflows, query, and manipulate information stored in an AWS S3 environment.

  • Ascension Labs VIDEO 3

    Ascend’s Unified Data Engineering Platform enables businesses to infuse their BI programs with a wealth of data from all kinds of sources, including IoT and streaming data. Inside, explore the top 6 reasons Looker users love Ascend, including pipeline visualizations that simplify complex queries, better data quality, and more.

  • Supercharging Time to Analysis at Harry’s

    Read this short case study discover how Harry’s used Ascend.io to simplify new analytics processes with a low-code sandbox environment, speed the time to ingest, transform, and pipe data into Looker by 10x, and unify data in an omni-channel view.

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