por The volume of data that is constantly generated requires recognition of the series of Data Management tools. For this reason, work as a Data Scientist is increasingly in demand by various industries, given that currently the access and management of information marks a promising future for large and small companies.
The Data Management system provides the appropriate tools to convert a company’s data into a usable factor within the strategies and dynamics of business development. Due to this, Big Data analysis emerges as a necessary process where data quality and management guarantees an improvement in the functioning and decision-making of an organization. In this post, we explain what Data Management is and how it works.
What is Data Management?
The practical organization of data is known as Data Management, which encompasses the set of all disciplines related to managing data as a valuable asset. The purpose of Data Management is to have a unified vision of all the company’s data as well as its business environment to subsequently guarantee precision and coherence in improvement strategies. Therefore, it is a philosophy that continues to be applied in all types of organizations due to the practicality of its tools and the evolution of its results.
If what you plan is to understand how to comply with proper data management and become a Data Manager, knowing this system that links the different disciplines of effective management is ideal for you.
The data strategy works with the collaboration of all departments of the organization to create a single database. So, it takes a lot of time and work to consider each of the states of the information and finally, to determine the objective of your study. As a last step, you will have the responsibility to take action regarding the results obtained after the analysis.
Besides, You must consider the systems used by the company to properly track the information. On the other hand, make sure that communication with the various sectors of the organization establishes the path to follow. For example, if you plan to make a modification, you must first communicate it, so that the entire work team can decide if the change is viable or not.
In the end, Data Management refers to the various forms and dynamics used to address certain information. Consequently, data management by data managers refers to the cleaning, storage, protection, classification and use of data generated by an organization. Thanks to this, its development branches into the different disciplines that achieve each of these tasks.
How does Data Management work?
The operation of Data Management or data management It covers around eleven different disciplines that allow you to organize data in a readable and practical way. However, since the management of master data or data managers depends on the utility, the sector and the type of database, as a data manager you must be aware of each of the tools. Below we mention them:
Data Governance or Data Government: The organization and planning of a company’s big data is part of data management.
Data Architecture: The determination of the master data structure.
Data Modeling & Design: Analytics, testing and maintenance of an organization’s database.
Data Integration & Interoperability: Integration and transformation of data in a specific database.
Data Storage: Storage and management of data through hardware and software.
Data Security: Solutions to increase and guarantee the protection of a company’s data are part of data management.
There are also other aspects to take into account in data management, such as:
Master Data Meta-Data Data Quality Document Management System Business Intelligence
However, Each of them manipulates the information in very different ways depending on the purpose of the strategy, the system tools, the type of data, the objective of the study, the possibilities of integration, the dynamics of development, etc. At we recommend that you study and practice each of the disciplines, in order to provide efficiency in data analysis and test your skills with its versatility, to become one of our data managers.
How to continue?
Thanks to this post you have been able to understand the basic characteristics of Data Management and its operation and, briefly, the disciplines that cover it. However, Due to the number of processes found within data management, in-depth knowledge can take a lot of time to study and practice.
Now, if you want to learn more about Big Data management tools and be a Data Manager, the best thing you could do is sign up for our Full Stack Big Data, Artificial Intelligence & Machine Learning Bootcamp. At we prepare you to be a Big Data expert over the course of nine months!