The Internet era brought about new challenges for data storage and processing, which prompted the creation of new technologies. When you review the various AWS data storage options, the situation might seem similar unless you know how to compare the available options. AWS provides a dozen services that can be classified as “data storage services.” Why do you think enterprises save data? Storing and securing data is most important for enterprises because it helps in analyzing the operations, customer behavior through better decision making. Also, it helps in storing the data which can be used for later purposes.
There are two main reasons we care about data: to get valuable insight from it or store it for later use. When getting valuable insights from data, more data usually beats better models. When keeping data for later use, be it digital assets or backups, the more data we can store, the less we need to guess what data to keep and what to throw away. These two reasons prompt us to collect as much data as we can store, process, and afford to keep.
Although we would like to extract useful information from all data we collect, not all data is equally important to us. Some data has to be preserved at all costs, and other data can be easily regenerated as needed or even lost without significant impact on the business. Depending on the value of data, we are more or less willing to invest in additional durability.
Reproducible data contains a copy of useful information that is often created to improve the performance or simplify consumption, such as adding more structure or altering a structure to match consumption patterns. Although the loss of some or all of this data may affect a system’s performance or availability, this will not result in data loss because the data can be reproduced from other data sources.
Advantages of FarEye’s Datastore:
An advanced logistics software with machine learning capabilities can crawl through past incidents of thefts on a route and deliver valuable insights on why a particular route should be avoided completely or at a given point of time.
When talking about the existence of a logistics software, the developments that took place in the 1980s plays a key role. It was during this period that personal computers emerged, and this helped supply chain owners plan logistics in a more graphical environment.
A digital control tower has the unique capability to seamlessly integrate disparate supply chain and logistics platforms like ERP, TMS, WMS, and CRM. It accumulates the data generated by these systems and displays it on an easy-to-understand dashboard.