Data pipelines enable you to break down data silos and create a unified view of your business.
You can then create data visualizations by applying business intelligence tools and share data-driven insights.
In this blog post, we’ll look at what data pipelines are, their elements, characteristics, as well as their benefits.
So, let’s begin!
What Is a Data Pipeline?
A data pipeline enables you to move data from the source to the destination, for instance, a data warehouse.
As data moves along the pipeline, it is optimized and transformed, reaching its destination in a format that can be analyzed and insights derived.
Essentially, a data pipeline is a series of steps enabling you to aggregate, organize, and move data.
Modern data pipelines automate many of the manual steps involved in data transformation and optimization.
What Are the Elements of a Data Pipeline?
Data pipelines are composed of three elements: a source(s), processing steps, and a destination.
This is where data comes from. Relational database management systems such as MySQL, customer relationship management software such as Salesforce, and enterprise resource planning software such as SAP are common sources.
Data is extracted from sources, manipulated, transformed as per business requirements, and then moved to its destination.
Transformation, augmentation, filtering, grouping, and aggregation are routine processing steps.
Once processing is done, data arrives at the destination for analysis. This is commonly a data lake or warehouse.
Which one should I go for? Data lake or data warehouse?
Find out more in this blog post.
What Are the Characteristics of a Data Pipeline?
In order to source, collect, manage, analyze, and effectively use data, you need robust data pipelines.
Here are the characteristics of a data pipeline:
- Continuous data processing
- Elasticity and agility of the cloud
- Independent resources for data processing
- Democratized access & self-service management
- High availability and disaster recovery
What Are the Benefits of a Data Pipeline?
Data pipelines play a crucial role in removing manual steps from processing. They automate data flow from one stage to another.
Data pipelines are required to enable real-time analytics and make quick decisions based on data-driven insights.
If you rely on real-time data analytics, store data on the cloud, and house it in multiple sources, you’ll need to build data pipelines.
In this blog post, we looked at what data pipelines are, their elements, characteristics, as well as their benefits.
They help you ensure data consistency, as well as speedy analysis for quick business insights.
Break Down Data Silos by Building Data Pipelines.
At Grazitti, the data analytics team knows a thing or two about building robust data pipelines.
Should you have a query, please write to us at [email protected] and we’ll take it from there.