Weekliii Round-Up: Smart Data and Environmental Resource Metadata
It is time to kick back, relax, and catch up on the news and posts we have shared throughout this week. We're diving into the world of Knowledge Management for Environmental Resources, Smart Data, and Canadian pipelines in today's #WeekliiiRoundUp. Read more below!
Have you heard of "Smart Data"? Turns out, it is Big Data's clean and condensed counterpart. The large volumes of information that synonymous with the Big Data revolution can often be overwhelming. Discover how data analytics plays a role in drilling down through these stores, finding the most useful resources in less time. Learn more in this week's #DailyBrainCandiii post.
Organizations with less of an understanding of Big Data often collect everything, and then store it in a Data Warehouse, Data Lake, or often what amounts to a Data Swamp. They are collecting Big Data with the intention of using it when they finally make the decision to use it. While these organizations might believe they are collecting years of historical data - in reality, the data may lack quality, or quanitity, or may even be in the wrong format. [Keith D. Foote]
The first step to understanding your spatial data is to discover each file on your network and its most important important details. Metadata like location and ownership are key to this process. Let's explore discovering Geographic Information System (GIS) and geospatial data for Environmental resources now in this week's #MeetTheProduct post.
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In an effort to get more crude oil to market across Canada, advocates are of pipeline expansion are speaking out. Current systems at maximum capacity, less than ideal reliance on rail, and new technology in optimization are all part of why. Explore more in this week's #DailyBrainCandiii post.
#DailyBrainCandiii and #WeekliiiRoundUp are inspired by brain candiii, a division of Integrated Informatics that delivers and develops GIS training courses to meet the needs of Energy and Natural Resources professionals. Want to suggest a topic for us to cover? Twitter @iii_gis is an easy way to find us!