AWS Data Pipelines


Author: Tangent Solutions

Published: 2 August 2022

Collect, Store, Govern & Analyse Data with Tangent Solutions x AWS

Get Insights Faster with Automated Data Analytic Pipelines 

Data and data sources are growing rapidly both in volume and diversity. This data also needs to be securely accessed and analyzed by any number of applications and people. The size, complexity, and varied sources of data means that customers need solutions that can help them analyze data at the scale and flexibility they need. 
Colleagues looking at data

Data Warehousing

With services like AWS EMR, you can leverage Apache Hadoop for cost and performance optimized ETL processes by ingesting data from various sources and loading them into Redshift for analytics. 
Data Warehousing diagram

Serverless ETL

We have invested extensively in serverless technologies when building out ETL pipelines as major or supporting components for our customers’ needs. Entire ETL processes can be contained within an orchestration of Lambda functions, each triggered for different stages of these pipelines. AWS S3 is used as a data collector, and proxy storage vehicle for successive transformation or conversion jobs. Finally, exposing a secure entry point to the ETL system is achieved by creating REST API endpoints with AWS API Gateway. 

Data & Analytics Services

These are some of the AWS Services to highlight when facing real-world data analytics problems: 
AWS S3 Logo
Store virtually infinite amounts of data in various file formats with out-of-the-box features like encryption, life-cycle management, enhanced access management etc., without thinking about servers and storage volume management. Data lakes, document repositories, and FTP systems can often be of central importance for many companies who work with Tangent Solutions.
AWS Athena Logo


Athena turns a data lake in S3 into a rich source of information by enabling SQL-based querying for your S3 buckets. Athena integrates into the rest of the AWS ecosystem, allowing you to quickly take your data from its raw and unstructured state to visual dashboards and graphs for analytics, using services like Amazon QuickSight. 


AWS Glue is an event-driven, serverless computing platform that runs code in response to events and automatically manages the computing resources required by that code. With Spark jobs converted into crawlers for a wide variety of data types, Glue enables uniformity for your data analytics needs. 

Benefits of Data & Analytics Solutions on AWS

  • Faster Insights | Gain a broad set of analytic tools at a lower cost to help you get business insights faster. 
  • Secure | Keep your data safe by leveraging tools that meet the requirements of the most security sensitive organizations. 
  • Flexible & Scalable | Collect, store, categorise, and analyse your data at scale, with services that meet your unique needs.
  • Data Lakes | Migrate massive volumes of unrelated data to a data lake on AWS, where it can swiftly and simply be leveraged for critical business insights. Businesses might not know the value of their data yet, but want to store data early on for when that untapped potential gets released. 
  • Modern Data Warehousing | Unlock insights by migrating, collecting, transforming, and visualizing your data on Amazon Redshift. 
  • Real-time Analytics | Turn streaming data into actionable insights to accelerate decision making. 

Want to Learn More
About Tangent?

Take a look at all our Case Studies, Articles, On The Record, and In The News

Contact Us Today

Collect, store, govern and analyse data with Tangent Solutions and AWS.