The development of microservices-based architectures continues to influence the evolution of pipeline framework design and implementation [10].
data engineering applications
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This article examines the transformation of data pipeline architectures from traditional batch processing methods to modern real-time and ...
Cloudera Data Engineering allows you to create, manage, and schedule Apache Spark jobs without the overhead of creating and maintaining Spark clusters.
Airflow: an open-source workflow management platform used to schedule data engineering tasks. Started at Airbnb, now maintained by the Apache foundation.
In this section, we present three use cases from the transportation, retail, and agricultural industries. The use cases illustrate the importance and usage of ...
This article explores the core components of data engineering on GCP, highlighting key services, best practices, Use Cases of Data Engineering. ...
This paper explores several real-world use cases of Databricks in large-scale data projects, highlighting its role in data ingestion, transformation, ...
Data engineering hackathons aren't easy to tackle – you need to think outside the box and solve new problems with cutting-edge technology.
Examples of changes affecting the ETL process include: • File layout changes. • Database schema changes. • Addition or removal of data ...
This thesis aims to investigate how the architecture for data extracting processes in a data pipeline can be designed to meet the requirement for a modern audit ...
This chapter primarily focuses on existing research or literature on Agile Principles in which we discuss Agile Methodology as a foundational ...
