Types of Data
This is a flavour of the types of data 3DEO deal with;
Geospatial Data is information about physical objects that can be represented by a set of numerical values. At a minimum it consists of a geographic location, size and shape of the object along with additional data such as timestamps, identifiers, classifications (e.g. building, field, tree).
Raster Data is a type of structured data that is often used to stored computer images, it consists a large array of numbers, each number represent a value of a cell (pixel in the case of images) in a 2D grid. When viewed using computer software, these arrays of numbers can be combined to give the observer a full colour 2D image. The size of the arrays represent the image resolution, the larger the array the higher the resolution and the greater the detail the observer can see. For geospatial raster images like optical satellite, an individual pixel also as a correspondence to the geographic size of area it represents (also known as pixel resolution), for example landsat-8 imagery as a pixel resolution of 30m.Most common formats of raster data are complex binary structures such as Tiffs, JPEG or PNGs.
Vector Data is a form of structured data often used to represent geospatial data. It is often broken down in three main types, point data, line data and polygons. Point data represents a single specific geographic location along with some corresponding meta-data, line data is simply two points with a simple relationship between them, a polygon is a series of three or more points, each point having a relationship with at most two neighbouring points, the first and last point will also join to make a continual ring. Points often used to indicate geographic points of interest e.g. cell-phone masts, lines can be used to represent roads, borders or rivers. Polygons are useful for defining areas such as country boundaries or buildings.Common formats of Vector Data can be binary (for example laz) or human readable text such as json (or more specifically geojson).
Real-time Data is data that has be recently captured and processed. It highly debatable how recent data needs to be to be considered real-time but generally its normally best defined by the underlying use case or application. For example air-traffic control requires milli-second updates of aircraft movement anything longer would be highly problematic however international ship monitoring may only need real-time data updated within minutes or even hours.
Dimensional data were one of the dimensions is time. A simple example would be a MPEG4 movie clip that consist of a series of time-based images. Comparing how data changes over time is one very common use case for time-series data, e.g. monitoring geological movement or detecting illegal shipping movements.
Big data refers not only to the volume or size of a dataset, but also the rate (or velocity) of data i.e. the rate data is being produced. It can also refer to how the data is structured and stored that enables complex queries and algorithms to be run against the data to generate results in a timely manner.
3DEO utilizes the power of Kx to enable fast data retrieval and processing of both raster and vector data. We have successfully integrated the Kx technology into the cloud allowing us to combine the flexibility and scale of the cloud with the raw processing power enabled by the Kx technology.
Virtualized compute, storage and networking Infrastructure as a service. Allows applications to programmatically control the underlying infrastructure so they can be scaled out and in on demand, paying only for services consumed.