Data engineering

The amount of data an organization needs to ingest and process at scale is growing faster than ever before, ranging from tabular data to unstructured documents, images, videos, IoT sensors, and more. Hence, the role of data engineering is increasingly becoming complex yet important in any organization’s analytics journey. Data engineering capabilities in Fabric allow you to enrich your data for higher quality and organize it in a way that is easily accessible to the right individuals with the right access and at the right time. These native data engineering capabilities allow data developers and data engineers to quickly and efficiently build data transformation flows that allow them to collect, store, process, and analyze large volumes of data by leveraging the power of open source Apache Spark (https://spark.apache.org/) to transform their data at scale and build out a robust lakehouse architecture. When you switch to the data engineering experience, you will...