Start Data Engineering
JULY 11, 2020
Intro A very common use case in data engineering is to build a ETL system for a data warehouse, to have data loaded in from multiple separate databases to enable data analysts/scientists to be able to run queries on this data, since the source databases are used by your applications and we do not want these analytic queries to affect our application (..)
ProjectPro
JUNE 6, 2025
ETL is an abbreviation for extract-transform-load. These three database functions have been combined into a single tool to enable data extraction from one database and to store or maintain it in another. ETL is considered to be an essential part of data warehousing architecture in business processes worldwide.
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Grouparoo
OCTOBER 26, 2021
This includes the different possible sources of data such as application APIs, social media, relational databases, IoT device sensors, and data lakes. This may include a data warehouse when it’s necessary to pipeline data from your warehouse to various destinations as in the case of a reverse ETL pipeline. featured image via unsplash
ProjectPro
JUNE 6, 2025
There are three layers in the ETL cycle: Staging layer: This layer stores the extracted data from multiple data sources. Data Integration layer: This layer performs data transformation from staging layer to database layer. What is the difference between OLAP tools and ETL tools? What do you mean by an ETL Pipeline?
Grouparoo
FEBRUARY 9, 2022
ETL testing can be challenging since most ETL systems process large volumes of heterogeneous data. However, establishing clear requirements from the start can make it easier for ETL testers to perform the required tests. Stages of the ETL Testing Process The ETL testing process can be broken down into 8 different stages.
Ascend.io
DECEMBER 21, 2022
How to Fit Reverse ETL Into Your Data Architecture Once businesses comprehend the advantages of reverse ETL, the question often is whether you should buy a reverse ETL solution or use your data team to build one for your company. First, building your custom reverse ETL system is more expensive than you think.
Striim
AUGUST 31, 2023
Two different systems are required for creating a kappa architecture: one for streaming data and another for batch processing. Stream processors, storage layers, message brokers, and databases make up the basic components of this architecture.
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