ADV Slides: Strategies for Fitting a Data Lake into a Modern Data Architecture

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About the Webinar

Whether to take data ingestion cycles off the ETL tool and the Data Warehouse or to facilitate competitive Data Science and building algorithms in the organization, the Data Lake — a place for unmodeled and vast data — will be provisioned widely in 2019.

Though it doesn’t have to be complicated, the Data Lake has a few key design points that are critical, and it does need to follow some principles for success. Avoid building the Data Swamp, but not the Data Lake! The tool ecosystem is building up around the Data Lake and soon many will have a robust Lake and Data Warehouse. We will discuss policy to keep them straight, send “horses to courses,” and keep up users’ confidence in the Data Platforms.

As for platform, although Hadoop received the early majority of Data Lakes, organizations are now weighing in that the Data Lake will be built in Cloud object storage. We’ll discuss these options as well.

Get this data point for your Data Lake journey.

About the Speaker

William McKnight

President, McKnight Consulting Group

William McKnight takes corporate information and turns it into a bottom-line producing asset. He’s worked with major companies worldwide — 15 of the Global 2000 — and many others. McKnight Consulting Group focuses on delivering business value and solving business problems utilizing proven, streamlined approaches in information management. His teams have won several best practice competitions for their implementations. He has been helping companies adopt big data solutions.

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