Data Pipelines
What are Data Pipelines?
A data pipeline takes your data from a source, optionally applies a number of steps to transform this data and then publishes it to a destination. A data pipeline can be designed to ingest your data from say an application (e.g. Google Spreadsheet, your CRM or your accounting software), perform some action on that data (e.g. combining multiple columns into a single column or run a calculation) and then publish the resulting data to another place (e.g. a database, Business Intelligence application or another spreadsheet). Data Pipelines allow for this entire process to be fully automated end to end.
Furthermore, data pipelines can automatically aggregate information from many disparate sources, transforming and consolidating it into a single location so that folks who rely on this data can quickly access it.
Example
Let’s use Twitter (or any Social Media for that matter) as an example. A single tweet on Twitter can be used to (a) feed a real-time report that counts social media mentions and hashtags, (b) run sentiment analysis to detect a positive, negative or neural sentiment in the tweet, (c) filter to a specific hashtag and store it in a database, and (d) map the location of the tweet. All four examples use the same data but require four unique data pipelines to be built, using the same source but with different steps applied and published differently to deliver the desired end-user experience.
According to IDC, by 2025, 88% to 97% of the world’s data will not be stored. This means in just a few years data will be collected, processed, and analyzed in memory and in real-time. That prediction is just one of the many reasons underlying the growing need for scalable data pipelines.
Why use Data Pipelines?
Businesses are increasing using a variety of software applications, services and data sources to solve their day-to-day problems efficiently. For example, it’s quite typical for SMEs to use a CRM for Sales (such as Salesforce), marketing platform (such as Marketo), advertising platforms (such as Trade desk or DV360), accounting software (such as QuickBooks), helpdesk application (such as Zendesk) and so on.
This poses two major challenges: (a) fragmentation of a business’s data into these disparate set of applications means there is no consolidated and unified view across the entire business function, and (b) true data ownership (e.g. when a service provider shuts down, you lose access to your data stored in the service provider’s application).
Data Pipelines help you resolve both of these challenges by enabling you to access from a source (such as an application), optionally apply changes to the data and then publishing to a destination of your choice.
Who uses Data Pipelines?
Modern businesses today across all sectors are embracing data pipelines to address a variety of use-cases from Marketing, Sales to Data Science teams, from Data and BI analysts to C-level executives including Chief Product Officers and Chief Finance Officers.
- Businesses keen on aggregating multiple sources of data into a single location.
- Businesses that are generating or are relying on large amounts of data.
- Businesses that require real-time or complex data / business analysis.
- Businesses keen on scaling and storing data in the Cloud.
- Businesses that require quick access to their data for analysis and reporting.
We develop Data Pipelines
Simple, robust and reliable data integration for your sales, marketing and finance teams
Fully Automated Pipelines
We automate data integration – combining multiple sources, normalizing & cleaning your data and then publishing to your desired destination.
Unlock New Insights
Improve your ROI by having your data in a single place; enabling teams to generate deeper, richer insights around your business and customers.
Truly Own Your Data
Reduce reliance on third-party SaaS apps, software and services to retain your most valuable asset: Data. We aggregate and replicate data to a destination that you own.
Proven, Resilient & Secure
We partner with best-of-breed technology providers and industry leaders to build your data pipeline solutions.
Advance Usage Supported
Have your own data science or engineering or BI teams? No problem. We support custom code to be executed in order to clean, normalize and transform your data.
Fully Transparent
We develop full transparency through logging and adding SLA alerts around your data pipelines to comply with your governance and audit requirements.
