Take the next step in your career and become an applied scientist

If you are a data scientist and you are ready to take the next step in your career and become an applied scientist you must leave behind school projects that involve working with small datasets, the true nature of an applied scientist is knowing how to take advantage of computing on a massive scale, and the resources available to analyze large datasets in a cost-effective way, you must begin to know the technologies available to work and process large datasets and this is where data engineering skills begin to be relevant to take the next step in your career, also, this new change involves more responsibilities such as:

• Choose a provider for cloud computing
• Create and design scalable and cost-effective architectures
• A strategy to monitor your expenses and resources
• Tuning
• Be updated in technologies that allow you to do cloud computing in a profitable way.

The goal of this article is to offer and explain an AWS EMR template that you can use quickly if the need for your analysis involves working with millions of records, the template can be easily altered to support the size of your project in this way you will not worry about creating everything from scratch and just focus on writing pyspark code.

#aws-emr #pyspark #aws #data-engineering #big-data