Something you already Know:
- Big Data: massive amounts of data generated every second across the globe through our activities over the Internet
- Data Science: the hottest job of 21st century
- Data Science: extracting hidden insights from various types of data
- Industries using Data Science: Every industry, regardless of the type and size.
- Salary: Nearly INR 7,50,000 median annual salary
- Demand: you can find data science jobs everywhere across the globe.
Some lesser-known facts:
- Data Modeling: it is Data modeling that works behind the scenes of data science
- Data Modeling: provides the most seamless user experience
- Data Modeling enhances identification, standardization, and documentation of data sources.
- Salary: average annual salary of a Data Modeler in the US is around USD 78,601, according to Glassdoor.
- Importance: Data modeling is a cost-effective and efficient method of managing and controlling huge amounts of data, aligning data assets with business goals.
The above facts show you that the recent past has seen Data Modeling as an emerging technology that is being adopted by almost every industry. Although the technology has been there for decades, it is highly adopted from the recent past because of the generation of incredibly huge amounts of data every second.
Let’s discuss the data model in brief and the importance of learning Data Modeling by going with Data Science training.
What is a Data Model?
A data model is typically a visual representation of data elements as well as the relationship between them. You can use data modeling to create visual representations of either the whole information system or divide it into chunks to show the connections between them.
A data model is similar to a roadmap or the design made by an architect that gives a clear understanding of what is to be built. There are standardized schemas and formal techniques. The reason behind the formal techniques is that they provide a common, consistent, and uniform way of defining and managing data resources within and beyond the organization.
The main objective of data modeling is to illustrate the types of data stored and used within the systems, the ways the data can be arranged and grouped, the relationship between them, and its attributes and formats.
Data models are developed aligned to the business needs. The requirements and rules are defined with the help of feedback from key stakeholders such that they can be inculcated into the design of new systems or can be incorporated in the next iteration.
Data models are usually technical, but at the same time, they are made to be simple and visual. This implies that they are a perfect blend of everyday terminology and tech-terms. They are living documents that evolve with the changes in business requirements.
Reasons to Learn Data Modeling
Data models are a vital step of any data strategy. To dive deep into how significantly data models can make a difference, let’s read further.
- Data Models save significant cost and time
With a data model, businesses can easily define core business rules, eventually reducing the number of revisions and implementation time.
When the requirements and development are integrated, they result in a significant enhancement in development time. This enables you to deliver your products or projects more quickly.
Moreover, with a data model, you spot the errors quickly, thereby saving time. With fewer iterations, you will easily pass error-free projects resulting in around 75% of reduction in time and budget.
Sometimes, data models can be complex and need some paperwork. But can you believe that this is one of the best ways to monitor your data, accelerate development, and reduce costs?
- Data Models reduce complexities and risks
With massive amounts of different types of data, it is crucial to make it simple and easy to understand. Since businesses face data compliance difficulties, you need to make it right.
Data models include intuitive diagrams of data processes, to document and connect everything such that it becomes visible to the data architecture.
By getting clear insights into the data, the risks of transformation are reduced. This also reduces the complexities of highly technical terms, making it simple for non-IT staff.
- Data Models make you understand and improve business processes
To build a data model, it is important to articulate your business and the processes involved, which in turn requires you to collaborate with different people. This makes you understand the way your business is processing.
The process of data modeling, therefore, reveals the data and its relationships, providing a base for understanding business processes and different ways of improving them.
- Data Models Improve Collaboration
Since data models require you to collaborate with others to identify the requirements, it results in effective interaction between technical and non-technical members. They communicate in every possible way to reveal all the details such that physical data structures can be created.
Data models allow you to integrate data rules with high-level business processes, data structures, and the technical implementation of your physical data. Data models provide you with details of how your business functions and how it utilizes the data in such a way that everyone understands it.
If you are confused about whether you should go with a career in data modeling or not, then let us have a look at the career outlook in data modeling.
Data modeling is an evolving field with an increasing number of opportunities. A Data modeler generally works with a data architect and data analyst to discover information to support an organization’s goals and system requirements. They are generally involved in maintaining the quality and integrity of the data.
The average annual salary of a Data Modeler, according to Glassdoor, is around USD 78,601. The career opportunities in this domain are consistently increasing.
With great career prospects, data modeling has become a crucial part of every business. It can be a great initiative if you have decided to enter into the world of Big Data and make your career graph go high.
To make a career in data modeling, you can go with an online training course. That is just a one-stop solution for going to any career you wish to.