ProjectPro

SEPTEMBER 30, 2014

Hadoop’s significance in data warehousing is progressing rapidly as a transitory platform for extract, transform, and load (ETL) processing. Hadoop is extensively talked about as the best platform for ETL because it is considered an all-purpose staging area and landing zone for enterprise big data.

Hadoop 52

Hadoop Unstructured Data ETL Tools ETL System 52

Knowledge Hut

NOVEMBER 28, 2023

As a Data Engineer, you must: Work with the uninterrupted flow of data between your server and your application. Work closely with software engineers and data scientists. Traditional data transformation tools are still relevant today, while next-generation Kafka, cloud-based tools, and SQL are on the rise for 2023.

Data Engineering 52

Data Engineering Data Engineer Engineering Generalist 52

ProjectPro

NOVEMBER 30, 2021

Incremental Extraction Each time a data extraction process runs (such as an ETL pipeline), only new data and data that has changed from the last time are collected—for example, collecting data through an API. The AWS Glue Data Catalog automatically loads your data and the associated metadata.

Process 52

Process Data Pipeline Data Warehouse AWS 52