A Data Architect provides support to Data Engineers to carry out various tests with precision by using various tools and platforms. It’s very important for a Data Architect to be well versed in Data Modeling and Data Warehousing. Other additional skills required by a Data Architect are Extraction, Transformation, and Load (ETL), and should have hands-on experience with scalable tools such as Hive, Pig, and Spark.
A few of the prominent work a Database Administrator is involved in are:
- Designing data models.
- Developing database solutions.
- Providing structural requirements for new software applications.
- Managing data migration and optimization of database systems.
- Providing Management Information System (MIS) support.
- Administering system performance by troubleshooting, testing, and assimilating new elements.
The main task of Data Architects is to design and implement database systems, data models, and components of data architecture. Data Architects should have a vast knowledge of various kinds of data available, both offline and in the cloud environment. Also, he/she possesses the capability of managing data warehouses and ETL operations.
If you are interested in Thorough knowledge and would like to explore more out of interest or to apply it to certain real-life problems, then this book is for you — Data Science Fundamentals and Practical Approaches. The content of the book describes the fundamentals of Data Science related topics together with illustrative examples as to how various data analysis techniques can be implemented using different tools and libraries of the Python programming language.