1/31/202001:00 PM Developing practical methodologies requires understanding the different roles that participate in the enterprise data lake. -- ITPro Today 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.Read the rest of David Loshin’s article on data lakes. Image: Pixabay 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 ... View Full Bio We welcome your comments on this topic on our social media channels, or [contact us directly] with questions about the site. Email This | Print | RSS Webcasts 5 Steps to Integrate SAST into the DevSecOps Pipeline Find Out How to Link & Integrate Your Disparate Security Systems More Webcasts White Papers The Forgotten Link Between Linux Threats & Cloud Security Black Hat 2019 Hacker Survey Report More White Papers Reports Black Hat 2019 Hacker Survey Report 2019 Threat Hunting Report More Reports
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