The idea of the data pipeline isn’t a new concept anymore, and most businesses have utilized them for decades, although in various forms than you see today. However, as you continue to see the massive growth of business data year after year, data pipelines are becoming more crucial for businesses to have.
In the realm of business analysis and data analytics, data pipelines are essential, but they also have a wide array of advantages and uses outside of business intelligence. In today’s post, we will talk about the reasons why you should start using the customer data pipeline and its connection to data privacy.
But before we dive in, let’s talk about what the marketing data pipeline is.
A marketing data pipeline is a completely managed, no-code integration between your commercial data sources and your reporting, analytics, and storage platforms. In short, a marketing data pipeline enables you to replicate any dimensions or metrics from your data sources to your cloud data platform of choices in just a few clicks.
That allows you to keep all your sales and marketing data in a single place.
The Difference to Traditional Data Integration
The only method to centralize marketing data in a data lake in the past was to manually configure data transfers. For example, an e-commerce firm liked to incorporate their transactional data along with paid media data to learn which campaigns or channels bring the higher return on ad spend.
They would have a need to go through these steps in the not-so-distant past.
- Need provisioned hardware like an on-premises server where they would set up a data integration software
- Configure the database to function as a destination for the data
- Create custom configurations through their e-commerce platform and paid media channels’ APIs, perform data changes, and push the converted data to the database
- Validate the transfers that normally take a huge amount of trial and error. That’s because the transfer must be created to endure potential discrepancies.
- Establish a connection from the database to their business intelligence or reporting tool of choice.
As you may notice, obtaining a reliable data integration system up and running that way could take a few days or weeks, if not several months. To make it worst, every custom connection needs recurrent maintenance to change for any modifications within the source API.
Why You Should Start Using Marketing Data Pipeline Today
So, everyone is now on the same page on the struggles of configuring custom API connections. It’s time that we consider the amazing advantages of having managed data pipelines.
Creating data pipelines is a full-time job for many data pipeline firms. Hence, most of such tools feature built-in security first. You will also end up with a much secure data pipeline 9.9 times out of ten by investing in a managed one instead of creating your own.
Support ELT and ETL workflows
Did you know that data pipelines enable you to incorporate data for various use cases? You can utilize ETL tools like Google BigQuery if you need easily and readily converted data for analytics. They ensure you can begin evaluating your information in no time.
Do you want unchanged data in its raw format? You can have that by using an ELT tool. Such tools will help you extract unstructured data and push that into the cloud storage buck of your choice. Further, the data stored in such buckets could be moved into further use in machine learning, data warehousing, and other data-intensive uses.
Simple to understand and learn
You need to learn the solution architecture with legacy data integration tools and understand how to execute such tools to the workflow. The good thing about managed data pipelines is that all you must do is click around intuitive user interfaces to pick your destination, sources and set up the transfers.
Keep in mind that many data pipeline firms provide user-friendly documentation. Therefore, anybody with basic computer abilities could understand how to utilize them.
You may not know it yet but getting started with a managed data pipeline is relatively simple. You don’t need to think about testing, installation, or even hardware configuration. How awesome is that?
You see, managed data pipelines utilize the cloud to deal with major datasets and modify to changes in data volumes. Therefore, your computer will not get exerted even in the slightest.
Ultimately, remember that data pipelines are traded as Software as a Service (SaaS) products. That only indicates that you will only pay for the subscription while the data pipeline firm handles everything else.
Actually, you can end up saving approximately three to seven times your data transfer budget by using a managed data pipeline. How awesome is that?
Steps to Do When Setting Up a Managed Data Pipeline
You are already familiar with the amazing benefits you will receive with a managed data pipeline. You may now be wondering how to set it up. Here are the basic steps you need to do to set it up.
- Obtain a license for a data pipeline. Just keep in mind that many data pipeline companies today offer a free trial. So, that’s not even a problem for you.
- Verify access to the data sources. Ideally, you can authenticate every data source with a single sign-on or OAuth.
- Choose the datasets you plan to transfer and the schema you would wish to utilize to support the data extraction.
- Pick your preferred transfer schedule.
- Confirm access to the destination of your choice—whether that is a data warehouse (Azure Synapse Analytics, Snowflake, Google BigQuery) or data lake (Google Cloud Platform, Azure Storage, Amazon S3).
- Begin the transfer
With these basic and simple steps, you can easily get the data flowing in just a few minutes.
Moving your data into the cloud used to need a huge amount of time and technical abilities. However, using managed data pipelines gets rid of that. Anyone from non-technical analysts to marketers can easily set up data transfers in a few minutes by using the best tools in the market.
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