Question

Can someone please explain graph database countermeasures? I tried a lot to look online, but did not find anything regarding countermeasures for graph database.

Answer 1

Graph database countermeasures are as follows

1) Route planning – the construction of graph databases makes them the ideal tool for any kind of network planning. In logistics, this is particularly evident in the requirements of intelligent network planning. To find the best combination, many different parameters need to be considered in transport logistics – freight, distance, means of transport, traffic routes, traffic times, loading times, loading and unloading points, nodes, fleet availability and similar. For graph databases, it is easy to optimise and simulate all variables and constants of route planning, including causal relationships and rapidly changing dependencies. Of course, this data can also be used later for dispatching. Graph databases help in logistics with efficient route planning

2) Networks & IT operations – IT landscapes are very heterogeneous – hardware, software, servers, interfaces, routers, browsers, virtual and analog components – a multi-layered IT site. So it’s easy to imagine what work system administrators use to maintain and keep these landscapes updated. It is also easy to imagine how useful graphs can be for them since they can map these landscapes as a complex data model and thus make it easier for the administration to keep track of all dependencies, such as in cause and error analysis. This is also, and especially, against the background of these landscapes being subject to permanent change. Transparent and flexible: the management of system landscapes with graph databases

3) Sales & marketing – graph databases are essential today, especially in online trading. They are used here for target-oriented and need-based recommendation management. An example in the form of a recommendation engine – “Customers who bought this product are also interested in …”. In the past, buying tips had to be prepared and initiated overnight via batch jobs. Today, in addition to the individualisation of offers, real-time is a decisive criterion for market success.