Must be able to use relational
Posted: Thu Jan 23, 2025 3:22 am
It all depends on the specialization of the Big Data developer. Let's consider the most popular direction - Engineering. Such a specialist must be able to form an infrastructure for big data. To work in this direction, a programmer must have the following:
Data structures.
Apache based clusters.
Ability to use SQL and NoSQL technologies. and non-relational DB technologies
Specialized cloud services.
Apache Hadoop stack and SQL engines that allow you to analyze information.
ETL systems.
Python, Java, or Scala.
Big Data Engineering works with OLAP and ETL systems. However, unlike an Analytics specialist (Scientist), he does not need expert knowledge in the field of Business Intelligence (BI). It is much more important for an engineer to have experience in creating applications.Big Data: What is it?
Demand for Big Data Engineering
The Big Data direction is in great demand. Therefore, its demand is growing every day. The use of Big Data is becoming more and more widespread. Processing large volumes of data allows optimizing australia email list business processes in a variety of areas.
Big Data specialists are considered to be among the most sought-after in the IT sector. This is due to the accelerated digitalization of the economy. The salaries of such specialists are among the highest. For example, a Big Data Engineer in the USA receives an average income of 66 thousand USD.
To get a good education in IT, you need to take DevEducation courses . In our educational hub, you can master the knowledge and skills that will allow you to make a powerful start in your career. Big Data is not the only direction in IT. You have the opportunity to choose the most interesting option for you. DevEducation is an educational project that has already helped hundreds of people successfully complete their studies and start a successful career in IT.
Data structures.
Apache based clusters.
Ability to use SQL and NoSQL technologies. and non-relational DB technologies
Specialized cloud services.
Apache Hadoop stack and SQL engines that allow you to analyze information.
ETL systems.
Python, Java, or Scala.
Big Data Engineering works with OLAP and ETL systems. However, unlike an Analytics specialist (Scientist), he does not need expert knowledge in the field of Business Intelligence (BI). It is much more important for an engineer to have experience in creating applications.Big Data: What is it?
Demand for Big Data Engineering
The Big Data direction is in great demand. Therefore, its demand is growing every day. The use of Big Data is becoming more and more widespread. Processing large volumes of data allows optimizing australia email list business processes in a variety of areas.
Big Data specialists are considered to be among the most sought-after in the IT sector. This is due to the accelerated digitalization of the economy. The salaries of such specialists are among the highest. For example, a Big Data Engineer in the USA receives an average income of 66 thousand USD.
To get a good education in IT, you need to take DevEducation courses . In our educational hub, you can master the knowledge and skills that will allow you to make a powerful start in your career. Big Data is not the only direction in IT. You have the opportunity to choose the most interesting option for you. DevEducation is an educational project that has already helped hundreds of people successfully complete their studies and start a successful career in IT.