Grouparoo

OCTOBER 26, 2021

A data pipeline typically consists of three main elements: an origin, a set of processing steps, and a destination. Data pipelines are key in enabling the efficient transfer of data between systems for data integration and other purposes. Thus, ETL systems are a subset of the broader term, “data pipeline”.

Data Pipeline 52

Data Pipeline ETL Tools ETL System Data Warehouse 52

Grouparoo

FEBRUARY 9, 2022

Today, organizations are adopting modern ETL tools and approaches to gain as many insights as possible from their data. However, to ensure the accuracy and reliability of such insights, effective ETL testing needs to be performed. So what is an ETL tester’s responsibility? Data quality testing.

Process 52

Process ETL System Data Warehouse Metadata 52

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

Reverse ETL emerged as a result of these difficulties. What Is the Difference Between ETL and Reverse ETL? As we hinted at in the introduction, reverse ETL stands on the shoulders of two data integration techniques: ETL and ELT. How long can you wait to have a reverse ETL system in place?

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