For over 10 years, there has been an intense focus by companies to extract business value from their data. Out of this activity, a role called the data scientist emerged. However, it quickly became obvious that a majority of a data scientist’s time was spent on data preparation or moving analytical models into production environments. Thus, the data engineer has emerged as a highly desirable and indispensable member of an analytics project team. This Data Engineering training course covers the content and hands-on lab exercises provided in the following courses: Data Warehousing with SQL and NoSQL ETL Offload with Hadoop and Spark Data Governance, Security and Privacy for Big Data Processing Streaming and IoT Data Building Data Pipelines with Python
- Experience with a programming language such as Java, R, or Python
- Familiarity with the non-statistical aspects of the Data Science and Big Data Analytics v2 content
- Understanding of the data engineer role provided in the Introduction to Data Engineering course
The Data Engineering workshop is ideal for:
- Data engineers, data scientists, data architects, data analysts or anyone else who wants to learn and apply data engineering principles and tools.