Introduction :
With an enormous ocean of new Technologies, the data engineering field has risen aggressively this decade. Electing your career journey as a data engineer is a well-paid job opportunity. Our comprehensive modern roadmap will guide you through the basics to advanced step-by-step concepts with the best data engineering courses. This roadmap is designed to navigate the steps to becoming a data engineer. Top Free course provide you with superior quality, excellent courses….all available for free
What is Data Engineering?
Data engineering is a data-driven field that can include web development, web designing, programming, and managing architectures for data collecting, processing, and analyzing and it also includes web securities. Data engineers create extensible databases to handle massive amounts of data. They build data pipelines to extract data for understanding the customer's insights to improve the sales and performance of an organization.
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Different Opportunities After Learning Data Engineering
In this dynamic world of technology data engineers play a crucial role in every sector, companies are collecting more and more data to improve performance and businesses. To handle the data emerging tools and technologies. This means data engineers are high in demand. These are the different career opportunities in this field.
1. Big Data Engineer/Data Engineer
Big Data Engineers create data validation techniques to boost database performance, they build smart systems and data pipelines to handle massive amounts of data for uncovering insights.
2. Data Analyst
The main responsibilities of a Data Analyst are to convert raw data into organized information which will enhance products and services and help to make data-driven decisions.
3. Cloud Data Engineer
Cloud Data Engineer constructs cloud architecture and they develop infrastructure for organizations to work with cloud networks.
4. Data Architect
Data Architects design infrastructure to analyze data and create new databases to store and manage data for an organization.
5. Data Warehouse Engineer
The role of a Data Warehouse Engineer is to manage all back-end development, ETL procedures, and cube building for databases, and they closely collaborate with product management.
6. Business Intelligence Engineer
A business intelligence engineer implements BI tools and systems for collecting, processing, and analyzing data to improve the efficiency of an organization.
Data Engineering Learning Roadmap
1. Learn Programming Language
You need to learn at least one programming language like Python, Java, PHP, R, C. We recommend you learn Python for data engineering, the most popular programming language now.
2. Advanced in Mathematics and Statistics
You should be good at Mathematical calculations and understand the basics of Statistics like mean, mode, median, etc. to handle a large amount of data.
3. Understand Database Management Systems
To become a Data Engineer, You should learn various database management systems and software like MySQL, Oracle Database, Neo4J, Azure SQL, Apache Cassandra, MongoDB, etc.
4. ETL Tools
In the field of data engineering, you need to be proficient in ETL tools like Apache NiFi or Talend. With the help of these tools they extract data from various platforms, transform it, and load it into a data warehouse.
5. Dive into the Cloud Computing Platforms
As a Data Engineer, you need to Deep dive into the Cloud Computing platform like AWS, Azure, or Google Cloud Platform. Due to almost every organization transforming their data onto the cloud server.
6. Big Data Engineering Tools
To handle a huge amount of data and complex database structure, You need to be proficient in Big Data Engineering Tools like Kafka, Apache Hive, Apache Hadoop, Apache Spark, etc.
7. Machine Learning
