Consider Roles that Interact with Enterprise Data Lakes

Developing practical methodologies requires understanding the different roles that participate in the enterprise data lake. -- ITPro Today

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January 31, 2020

1 Min Read
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In recognition of the value proposition of cloud computing, a significant level of effort is being expended in modernizing existing on-premises data warehouse environments by migrating both data and applications to the cloud.

Cloud environments provide a great degree of flexibility, especially when it comes to managing different types of data assets. This benefits data warehouse architects because they are not limited to using a relational database management system (RDBMS) to hold the data warehouse’s data; rather, they can take advantage of a collection of data storage and management paradigms that can be virtualized and used for downstream reporting and analytics.

Read the rest of David Loshin’s article on data lakes.


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Guest Commentary

The InformationWeek community brings together IT practitioners and industry experts with IT advice, education, and opinions. We strive to highlight technology executives and subject matter experts and use their knowledge and experiences to help our audience of IT professionals in a meaningful way. We publish Guest Commentaries from IT practitioners, industry analysts, technology evangelists, and researchers in the field. We are focusing on four main topics: cloud computing; DevOps; data and analytics; and IT leadership and career development. We aim to offer objective, practical advice to our audience on those topics from people who have deep experience in these topics and know the ropes. Guest Commentaries must be vendor neutral. We don't publish articles that promote the writer's company or product.

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