In terms of data handling efficiency, what often becomes the bottleneck for analysts handling petabytes of satellite data?
Answer
The cost of moving and processing that data
While cloud storage is abundant, the expense and time associated with moving and computationally processing massive volumes of data often represent the primary efficiency challenge.
#Videos
Earth Observation 101 - Part 1: How does it work? - YouTube
Related Questions
What are the three primary characteristics used to define data resolution in Earth Observation?What is the primary focus area for an Earth Observation Scientist?What computational proficiency is increasingly essential for the Earth Observation Data Scientist track?When dealing with raw imagery, what concept is central that involves measurements beyond the visible spectrum?In terms of data handling efficiency, what often becomes the bottleneck for analysts handling petabytes of satellite data?Which programming language is explicitly mentioned as dominant in EO analytics due to its extensive scientific computing libraries?If an analyst is using optical data, what must they account for during preprocessing steps?What specific technical activity defines the operational focus of a Remote Sensing Analyst?Why is deep domain knowledge considered critical for an analyst interpreting EO data outputs?In the typical workflow, which phase immediately follows Preprocessing?What resolution type is prioritized when monitoring rapidly developing weather patterns?