Data pipeline is a terminology that covers the organization of objects, the extraction, regulation and routing of data to a system, in a way that makes it possible to extract valuable information for your business.
Check out the importance of the data pipeline for your business!
What does data pipeline mean?
Data pipeline is a set of data processing steps, which enables the movement of data from a data source to an analytical database, in order to facilitate the collection of information and creation of insights based on the collected data.
The data pipeline encompasses other types of pipelines as a subset, namely the ETL pipeline and the big data pipeline, which consist of extracting data from a source, transforming it, and then loading the data into a target database.
Importance of the Data Pipeline
Currently, it is essential for a company to gain full control over its data, since through this data, it is possible to identify the mistakes and successes that are being committed, in addition to facilitating the obtaining of insights and assisting in decision making. However, this data can come from different sources and to facilitate the analysis process, there is a data pipeline. If the data pipeline architecture is well designed, it is possible to unify different sources in order to create an integrated system, facilitating the analysis process, a factor that generates value for your business.
The data pipeline provides several benefits for your company.
- Drive analytics and reporting
- Increases data functionality
- Provides instant information
- Improves business intelligence
- Consolidates data from multiple sources
- Makes it easy to get insights
The biggest benefit of having a data pipeline architecture in your company is the possibility of simultaneously centralizing data, since there is currently a large flow of data originating from different sources.
Examples of Data Pipelines
Check out some examples of integrations carried out through the Kondado platform:
Paid media on the social network Facebook offers different ad formats in order to boost publications, which generates various data to be analyzed. Kondado facilitates analysis by integrating data into the Bigquery database.
Hubspot is a reference company in content marketing and digital marketing, for facilitating the management of marketing campaigns and its high performance in content management.
Salesforce is a customer relationship management (CMR) company focused on customer service, marketing and artificial intelligence.
Kondado enables integration between salesforce and bigquery to facilitate the data analysis process.
Through the social network instagram it is possible to carry out marketing campaigns and with the Kondado integration platform it is possible to analyze the data collected in a simplified way through MySQL.
AdWords is Google's online advertising platform, while MySQL is the most widely used open-source database in the world, as it is a cheap and efficient alternative for analyzing data. Kondado enables the integration between these two tools.
Kondado mediates the GA4 and Power BI integration using Google Sheets or a database to centralize your data.
Kondado enables the connection between VTEX (national e-commerce that offers a unified commerce platform) to BigQuery (Google's serverless bigdata solution). Access the Kondado platform and perform the free 14-day trial!
