What is meant by data engineering and data engineers?
Data science is progressing day by day. The need for storing data and using the data for marketing purposes is increasing day by day. Data engineering is a branch of computer science or engineering branch where we present data in easy to understand format to business owners or superiors. The application of all engineering principle in the process of managing the data and ensuring that data is useful and notice worthy is called data engineering. The person who does all these tasks of extracting data from various sources, creating the files in presentable format adding analytics, graphs, trends and curves is called data engineers.
At present the data science is so important that every large scale business owner or organization want to implement this to understand the market trends. If the business owners don’t understand the market trends entrepreneurs will use all their investments and money without making any profit. The reason is because they will produce goods and services that are non-demanding and worthless to public. Here are some skills that are essential for becoming data engineer in any company.
Essential Skills required in becoming Data engineers
- Fluent in programming language
- Have adequate knowledge of ADO.net, ASP.net and other connectivity platforms with data bases.
- Profound knowledge of popular databases like Oracle, MySQL, PSQL, SQL,RDBMS etc.
- Implementation of AI strategy for generating data.
What are the job roles of Data engineer?
- Extract data
- Transform data
- Merge from multiple sources
- Aggregate the data
- Enhance and load data warehouses
- Implement RDBMS or specialized database
Difference between data scientist and data engineer
The main duty of data scientist is maintain clean dataset using machine learning and AI algorithm. While data engineer’s main duty is to develop software, maintaining pipelines, and processing systems. Data scientist use python or whereas data engineers use python and Java as their programming language. Tools used by data science engineers are Map Reduce, Hadoop, Hive, spark, and MySQL. The tools used by data engineers are Hadoop, Nosql,Spark, RDBMS etc.
Why should you hire a data engineers?
- Data science can be made more productive if we hire data engineers.
- Data engineers can present data that can help business entrepreneurs or owners understand the market trends.
Conclusion: - The term data scientist and data engineers are different and have different job roles. They use different programing language and tools as well. Data engineers can produce data to data scientist and make them more productive in their work. Data engineers provides software product engineering to their clients for ease of doing business and increasing productivity at work.
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