Essential Data Engineering for Data Scientists

However, without the Data Engineer, this would not be possible t o achieve. The Data Engineer develops an architecture best suited for their business to analyze and process data. They also make sure that those systems are performing smoothly and securely.

During this webinar, Valentyn Kropov (SoftServe Sr. Solutions Architect) will share his, Data Engineering Survival Checklist and discuss crucial aspects of Data Engineering that are required to deploy a successful Data Science project and how they can influence the overall success of the project.

In addition, he will cover 6 key aspects every Data Scientist should know, including:

  • Storage
  • Clustering
  • Deployment automation
  • Performance
  • Trade-off analysis
  • Security