Scott Gidley

Scott Gidley is Vice President of Product Management for Zaloni, where he is responsible for the strategy and roadmap of existing and future products within the Zaloni portfolio. Scott is a nearly 20 year veteran of the data management software and services market. Prior to joining Zaloni, Scott served as senior director of product management at SAS and was previously CTO and cofounder of DataFlux Corporation.

  • So You've Got a Data Catalog...Now What?

    So You've Got a Data Catalog...Now What?

    Learn how organizations are looking to build actionable data catalogs that allow self-service access to data without sacrificing data governance and security policies in this webinar by Scott Gidley.

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  • Next-Level Data Lake Management with the Zaloni Data Platform

    Next-Level Data Lake Management with the Zaloni Data Platform

    The Zaloni Data Platform (ZDP) has just released its latest version, 5.0, which provides exciting new features to address the growing demands of data-driven companies.

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  • Governed Data Lakes and the Race to GDPR Compliance

    Governed Data Lakes and the Race to GDPR Compliance

    Integrating a governed data lake into an existing data environment is a smart, practical way for organizations to become GDPR compliant and derive more value from their data in the future.

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  • Governed & Self-Service Data: Better Together

    Governed & Self-Service Data: Better Together

    Data lakes done right can enable you to view your entire data catalog at a moment’s notice and apply self-service transformations to that data but how can do you govern it?

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  • Automate Metadata Capture for Enterprise Visibility in the Data Lake

    Automate Metadata Capture for Enterprise Visibility in the Data Lake

    To be successful with a modern data architecture, you must be able to automate metadata capture from disparate data sources into the data lake for entrprise organization and visibility.

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  • Key Challenges of Building Next-Generation Data Architectures

    Key Challenges of Building Next-Generation Data Architectures

    Today’s technology and software advances allow us to process and analyze huge amounts of data. While it’s clear that big data is a hot topic, and organizations are investing a lot of money around...

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  • What Is Metadata and Why Is It Critical in Today’s Data Environment?

    What Is Metadata and Why Is It Critical in Today’s Data Environment?

    Excerpt from ebook, Understanding Metadata: Create the Foundation for a Scalable Data Architecture, by Federico Castanedo and Scott Gidley.

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  • Zaloni DLM: Big Data Lifecycle Management for the Data Lake

    Zaloni DLM: Big Data Lifecycle Management for the Data Lake

    Apache knows there’s an urgent need for data lifecycle management for big data – and now offers Heterogeneous Storage for different storage types, as well as Hadoop Archive Storage with hot, warm,...

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  • Zaloni, NetApp Partner for Data Lifecycle Management Solution

    Zaloni, NetApp Partner for Data Lifecycle Management Solution

    Right-size the enterprise data lake with policy-driven, highly scalable and cost-effective data lifecycle management and cloud tiering. Today we announced a new solution developed in partnership...

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  • Data Lake ROI and What You Need to Know About Zaloni

    Data Lake ROI and What You Need to Know About Zaloni

    IT analyst, research and strategy firm Enterprise Strategy Group (ESG) recently did an economic value validation report of our Data Lake Management Platform, and the results are in...

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  • Save Money in the Cloud with Transient Clusters for Big Data

    Save Money in the Cloud with Transient Clusters for Big Data

    Cheaper, faster. Faster, cheaper. When it comes to getting value from big data, paying less and processing it faster to reduce time-to-insight are always top-of-mind goals.

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  • We Know Our Spark

    We Know Our Spark

    Spark lets you do complex things with a lot less code. This lower barrier to entry, plus it’s faster processing speed, is “sparking” - pun intended - increased interest from more and more...

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