There is a wide variety of professionals that read our blog and we want to be sure we are providing content that adds value for everyone. We receive many inquiries about the term Data Distribution, and since we specialize in this kind of software, we thought a simple blog post to address the basics of data management solutions would make sense.
When enterprises or government agencies generate information, it has to go somewhere. Sometimes the data includes large files or entire directories, other times it may be a word processing document. Our data synchronization software solutions handle it all from the moment it is created through to the time it is used to create information that executives use to make informed business decisions.
Data that is generated and distributed comes in many aggregate forms that include:
- Structured Data – Highly organized information that is easy to search, sort and arrange
- Unstructured Data – This type of information not as easy to find, arrange and sort. It includes information such as video, audio, email and word processing documents. Some statistics advance that 70% of the data is unstructured.
- Meta data – Is data about data. It is a terminology that is used to explain other kinds of data such as it’s content or context.
- Transactional Data – Describes events that change information over a period of time. This kind of intelligence can be financial, logistical or work activity/planning.
- Hirarchical Data – Relational tables of data structured in the form of branches (think trees)
Synchronization is how businesses and government agencies use technology to distribute the data once it is created. There are different terms used for this process that include File Synchronization, Data Synchronization, FileSync, Folder Sync, sync etc. Once the data is distributed through this file sync process, executives use the intelligence to create information and knowledge which helps enterprises and agencies make better business decisions.
There are three primary ways that data can be synchronized:
- Continuous – self explanatory, the information is updated almost in real time. As data changes on one device it is also changed in another device. Examples include real time file replication.
- Automated – provides flexibility to deliver content to specific processes such as reporting or other work flows on a consistent schedule. Examples include scheduled replication, real time replication and FTP.
- On Demand – This allows for moving information as needed via manual processes. EDpCloud allows you to select to whom and when to encrypt files in transit. Examples include scheduled replication and FTP.
The image below illustrates EnduraData’s EDpCloud software solutions and the operating systems and platforms that provide flexibility. Our software topologies will work in the following scenarios:
- One geographic location to many, including LAN and WAN.
- Many geographic machines to one (aggregation and consolidation)
- One computer to another over a LAN or long distances.
- One computer to many (Data distribution)
- Many machines to one
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Primary Features of Data Distribution and Synchronization was last modified: April 2nd, 2018 by
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