Redmond, Washington, United States
11K followers 500+ connections

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About

Mark Kromer is a senior data & analytics product leader with deep experience building and…

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Experience & Education

  • Microsoft

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Licenses & Certifications

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Volunteer Experience

  • DBA

    Philly Give Camp

    - 2 months

    Social Services

Publications

  • Mapping Data Flows in Azure Data Factory: Building Scalable ETL Projects in the Microsoft Cloud

    Apress

    Build scalable ETL data pipelines in the cloud using Azure Data Factory’s Mapping Data Flows. Each chapter of this book addresses different aspects of an end-to-end data pipeline that includes repeatable design patterns based on best practices using ADF’s code-free data transformation design tools. The book shows data engineers how to take raw business data at cloud scale and turn that data into business value by organizing and transforming the data for use in data science projects and…

    Build scalable ETL data pipelines in the cloud using Azure Data Factory’s Mapping Data Flows. Each chapter of this book addresses different aspects of an end-to-end data pipeline that includes repeatable design patterns based on best practices using ADF’s code-free data transformation design tools. The book shows data engineers how to take raw business data at cloud scale and turn that data into business value by organizing and transforming the data for use in data science projects and analytics systems.

    See publication

  • Decisively Digital

    Wiley

    Chapter 11: Big Data Analytics in the Cloud

    See publication

  • BI Experts’ Perspective: Dipping a Toe into Data Lakes

    TDWI BI Journal

    BI Expert perspectives on Data Lakes for experienced DW/BI practitioners

    See publication

  • Modern Hybrid Big Data Warehouse Architectures

    TDWI BI Journal

    Data is the lifeblood of today’s successful data-driven businesses
    and makes the roles of data engineer, data architect,
    and BI designer critical to the success of your business. Those
    IT roles should focus on developing and maintaining a solid
    data foundation so that the BI solutions you produce for your
    users will provide reliable, accurate, and scalable data. To be
    successful, you must do more than provide a list of features
    for your users. You must provide a data…

    Data is the lifeblood of today’s successful data-driven businesses
    and makes the roles of data engineer, data architect,
    and BI designer critical to the success of your business. Those
    IT roles should focus on developing and maintaining a solid
    data foundation so that the BI solutions you produce for your
    users will provide reliable, accurate, and scalable data. To be
    successful, you must do more than provide a list of features
    for your users. You must provide a data platform that is secure
    and can grow with your business.
    A common approach among data warehouse professionals
    is to start looking at big data as an integral part of your data
    warehouse strategy. As you begin your journey into big data
    analytics, you may very well find yourself in the same position
    that your peers find themselves in: a mix of various RDBMS,
    MPP, and big data platforms. In this article, I discuss how I
    have seen these pieces work together to enable end users to
    enjoy a single experience from their BI tools for data exploration,
    business reporting, and analytics.
    A data architect must make many choices when evaluating
    databases and business intelligence tools. In this article,
    I focus on common ways that I see hybrid architectures
    becoming prevalent in today’s growing world of big data. I
    will discuss massive-scale, on-premises architectures that
    include different data technologies, not just one. There are
    many cases where your data warehouse growth trajectory can
    be satisfied with traditional database platforms such as Oracle
    Exadata, SQL Server, Postgres, or another flavor of MPP or SMP
    databases. However, for big data analytics, big data warehouse
    architectures will be needed. Our goal here is to make massive
    amounts of detail data (including real-time events) viewable
    as roll-ups and make it available to your business decision
    makers, built upon a scalable data platform.

    See publication

  • SQL Server Pro Magazine BI Blog

    SQL Server Pro Magazine

    On-going blogging for Microsoft BI

    See publication

  • MSDN September 2012: Windows Azure to the Rescue

    MSDN

    How the Azure Public Cloud PaaS provided the scale, cost structure and time-to-production we needed to bring a simple registration app to market for our event.

    See publication

  • SQL Azure Reporting Services

    SQL Server Pro Magazine

    Azure Reporting Services - The Killer App of SQL Azure

  • Successful BI POCs

    TDWI Business Intelligence Journal

    How Microsoft utilized SQL Server, SharePoint and PerformancePoint Services to deliver POCs to our customers that demonstrate real business value - the key to a successful BI solution.

    Other authors
    • Daniel Yu
    See publication

Patents

Projects

Organizations

  • SQL Server PASS

    Philadelphia SQL Server PASS Board of Directors

    - Present

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