Introduction to Data Architect Skills
Data architect is defined as, it is a professional in the organization of the data architecture in which it is responsible to carry on the data, plotting data in a regular manner, making use of data, and surviving the data in the data architecture of the organization, the role of the data architecture has been performed by a person so that this person can responsible for managing, plotting and visualizing the data of the organization in the framework which can also produce the outline of the data management systems and allow the employee to access the crucial information at right place and time.
What is Data Architect Skills?
The data architect needs to have some specific skills which we can say that the data architect must be skilful in programming languages as well as in other technologies, if we want to get the post of data architect then we must have to improve our communication skills and must have details about the requirement specification, also we must problem-solving skills as this post may need to solve the coding issues because that directly affects the business and it will take millions to repair so the person who is playing the role of the data architect that must be attentive.
Let us see the technical skills which are required to become a data architect,
- To become a data architect we require firmness in applied math and statistics.
- The data architect also need to have technical knowledge about data conception or data imagination and also about the relocation of data.
- For this post, we also need to have sound knowledge of relational database management systems (RDBMS), as he is an essential skill.
- The data architect has knowledge of Microsoft SQL server which is the database management system software and cloud computing is an added advantage.
- The person who wants to become a data architect needs to have technical knowledge of Hadoop technology such as Map Reduce, Hive, and Peg which are the data warehouse tools in Hadoop and also try to gain knowledge of taking backup of the software.
- To preparation of the data and administration of the data is also useful because the data architect has to work for different platforms.
- This post can also be available in machine learning so we have to update our curriculum with new technologies.
- In the structure of data architecture, the data architect needs to work for data mining and also on adapting tools so they need to have knowledge of related tools.
- If we want to make our career in this field so we need hands-on programming languages like C, C++, and particularly Python and Java is important.
The data architect also has knowledge of UNIX, Linux, Solaris, and Microsoft Windows, with oracle.
Top Data Architect Skills
Let us see the top skills which are required for a data architect,
The data architect has to resolve the problems so they need to have expansive awareness about drift and competitiveness of the industry, for the determination of business and their risk he can able to prepare data for giving satisfaction to the customer by managing risks, he can able to make a decision on business to identify the point which can provide growth and product up-gradation for it.
The data architect must have knowledge of SQL because SQL is used to ask questions to relational database model by firing queries and operating the data, and they need to knowledge of the different SQL statements like, DDL (Data Definition Language) which can perform create, alter, drop statements, DML (Data Manipulation Language) which can be to select, insert, update, delete data from the database, DCL (Data Control Language) which perform grant, revoke statement on a database, TCL (Transactional Control Language) can perform commit, rollback, save, etc, statements.
The Java and Python are compulsory languages for data architect because python is used to build the application which can be used for storing a large amount of data, and Java is an object-oriented language and it can be used develop strong applications.
This is major expertise through it the data architect can recognize the data model and conception about plotting data which strengthen the process of the business.
- Applied math and statistics
The data architect needs to resolve the issues in the process while making decisions and they can have to clarify the data that is why they need to be skilful with applied math and statistic.
- Design skill
The data architect can able to make an outline of the model which can provide features and services to the user so that the authorized user can access the data easily by providing quality and coherence about the technique which is used for designing.
- Machine learning
The knowledge of machine learning which is called natural language processing is essential because to compassion or understand the interactivity between the computer and the human language this technology is helpful for resolving problems in data.
- Communication skills:
The data architect has to convey with the customer so that they need to have very good communication skill.
- Cloud architecture and database
The job of the data architect is mostly based on the cloud infrastructure so they need to have knowledge of cloud technologies with Oracle cloud, and also they need to have knowledge of Hadoop technologies because the NoSQL database is required to handle the data technologies.
- Creative and analytical problem-solving skills
This is a very important skill because the data architect must be creative because they need to resolve the issues.
In this article, we have seen the role of data architect and important skills which are required to get posted for it, so if anyone wants to make a career in it please update their technical knowledge as we have given in this article which definitely helps to be skilful about Data architect.
This is a guide to Data Architect Skills. Here we discuss the Introduction, What is Data Architect Skills, Top data architect skills respectively. You may also have a look at the following articles to learn more –