Building Data Engineering Pipelines with Snowpark
Data is the heartbeat of every organization, and data engineering is the lifeblood that ensures that current, accurate data is flowing through for various consumption. The role of a data engineer is to develop and manage the data engineering pipeline and the process that collects, transforms, and delivers data to a different line of business (LOB). As Gartner’s research rightly mentions, “The increasing diversity of data, and the need to provide the right data to the right people at the right time, has created a demand for the data engineering practice. Data and analytics leaders must integrate the data engineering discipline into their data management strategy.” This chapter discusses a practical approach to building efficient data engineering pipelines with Snowpark.
In this chapter, we’re going to cover the following main topics:
- Developing resilient data pipelines with Snowpark
- Deploying...
