ProjectPro

SEPTEMBER 30, 2014

The conventional ETL software and server setup are plagued by problems related to scalability and cost overruns, which are ably addressed by Hadoop. If you encounter Big Data on a regular basis, the limitations of the traditional ETL tools in terms of storage, efficiency and cost is likely to force you to learn Hadoop.

Hadoop 52

Hadoop Unstructured Data ETL Tools ETL System 52

Ascend.io

DECEMBER 21, 2022

To solve the activation challenge and make sure data is not sitting idly in the warehouse, data teams turned to reverse ETL. This article will help contextualize reverse ETL in the world of existing data management approaches. What Is Reverse ETL? Reverse ETL emerged as a result of these difficulties.

ETL Tools 52

ETL Tools ETL System Data Warehouse Data Consolidation 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. Stage Data Data that has been transformed is stored in this layer.

Process 52

Process Data Pipeline Data Warehouse AWS 52