1. ETL (extract, transform and load) processes An ETL process is a type of data pipeline that extracts raw information from source systems (such as databases or APIs), transforms it according to specific requirements (for example, aggregating values or converting formats) and then loads the tra...
Adata pipeline architectureprovides a complete blueprint of the processes and technologies used to replicate data from a source to a destination system, including data extraction, transformation, and loading. A common architecture includesdata integration tools, data governance and quality tools, and data...
The design and organization of software and systems that copy, purge, or convert data as necessary and then route it to target systems like data warehouses and data lakes is known as Data pipeline architecture. Data pipelines consist of three essential elements which define its architecture: Data...
Batch.Batch processing in a data pipeline is most useful when an organization wants to move large volumes of data at a regularly scheduled interval and immediate delivery to end users or business applications isn't required. For example, a batch architecture might be useful for integrating marketin...
An example of a data lake architecture Data sources In a data lake architecture, the data journey starts at the source. Data sources can be broadly classified into three categories. Structured data sources.These are the most organized forms of data, often originating from relational databases and...
ELT pipeline architecture. ELT architecture comes in handy when you’re not sure what you’re going to do with data and how exactly you want to transform it; the speed of data ingestion plays a key role; and huge amounts of data are involved. Yet, ELT is still a less mature techno...
Data pipeline architecture Many companies are modernizing their data infrastructure by adopting cloud-native tools. Automated data pipelines are a key component of this modern data stack and enable businesses to embrace new data sources and improve business intelligence. The modern data stack consists of...
A data pipeline is a method where raw data is ingested from data sources, transformed, and then stored in a data lake or data warehouse for analysis.
In the end, data consumers rarely care whether there is a data lake or data lakehouse under the hood, or which data pipeline architecture is used. What they do care about is that they can consume that data fast, without having to wait for access, and through the delivery mechanis...
awslambdabackupterraforms3snapshotnfsautomaticcronjobefsterraform-modulesdatapipelinescheduled-job UpdatedOct 11, 2024 HCL KennethanCeyer/awesome-data-pipeline Star31 Code Issues Pull requests Awesome list for datapipeline dataqueryawesomeopensourcecloudbig-datasparkhivehadooparchitecturebigdatadata-engineeringaweso...