Give your stakeholders the facts they need. Set up an AWS system that catches data from your databases, API, Excels, or SaaS tools in real-time. We’ve already helped European banks or e-commerce platforms, delivering 160+ projects to date.
DATA ENGINEERING SERVICES
Give your stakeholders the facts they need. Set up an AWS system that catches data from your databases, API, Excels, or SaaS tools in real-time. We’ve already helped European banks or e-commerce platforms, delivering 160+ projects to date.
One team — all data engineering solutions
Imagine predicting when sales spike or what content makes users act. What would you like to know?
One client with several pet marketplaces bumped their revenue by 400% in two years — in part by using big data.
Our engineering team can show you how to catch and turn data into game-changing insights. You’ll be able to analyze many sources by using the cloud — at an optimized cost.
We use — but aren’t limited to — AWS Glue, AWS EMR, AWS QuickSight, Step Functions, and Kinensis. GDPR and data security compliance is our golden standard.
Collect, filter, and sort information from your backend, any database, file, or SaaS.
Know what customers will do and find ways to boost your revenue
Update your data study methods and re-use the time employees save
Set more accurate goals, increase customer loyalty, and find ways to build up the product
Prepare your data to be used as business intelligence on a dashboard for your teams
From on-prem to the cloud or between cloud providers — while the service remains live and well
AWS-powered data engineering
Want to analyze and visualize data at a speed? Move it? Or integrate a new data source with your pipeline? You need an engineering team that has done all of that — sometimes for products servicing 1M users per month.
Before data works for you, you need to pull it from multiple sources and make it usable. Both ETL (extract-trasform-load) and ELT (extract-load-transform) processes turn data from SQLs, files, PDFs, and CRMs into information that can be assigned clear value.
Depending on what information is needed and who reads it, your engineers need to set up either ETL or ELT before data lands in one bucket. Used by TUI, Slack, or Cisco.
Move web services with their content untouched from server to server or between cloud providers. Or prepare an automated and flexible migration system you can reuse. Yes, we’ll keep the product live.
By centralizing your data, swapping technologies or doing deep analysis becomes efficient. Done by Spotify, Waze, Dropbox, or GitLab.
For fast and unrestricted access to all data, you need to build a lake. If only critical and error-free data matters, better build a warehouse. Rest easy — our engineers can recommend a way forward.
A data lake lets your analysts dig into raw facts with little overhead. Then, your board would appreciate accurate and structured intel from a warehouse. Both solutions are used by Coca-Cola, ING Bank, or Lenovo.
Set up active monitoring for intel that comes from end-users, Marketing, or Sales. Or expand your product’s abilities by processing public data or signals from smart devices.
If you need to catch what’s happening with data now, expand your stack with stream processing technology. Used by Pinterest, Netflix, or Yahoo.
Know how to deliver qualified & readable data
Our approach
Our approach
Working with data makes sense only if you use it to power up business decisions. As early as possible, let’s show your team value in collecting data and extracting insights.
Then, we’ll consider what solution suits your processes — also by looking at how companies across the industries we’ve worked with handled their engineering.
Rest assured, you won’t get stuck with a custom solution. Your data pipeline will scale by design by using AWS services, and it will comply with changing information processing regulations.
3
Architects
100+
Developers
10
DevOps Engineers
Connect them with cloud engineers who built dozens of AWS systems. They can show you how Amazon’s services can increase your product’s processing power.
Recommended by 98% of clients
Client
A UK loan platform for SMEs
Goals
The new cloud pipeline loads a database of several gigabytes onto Amazon S3 in just 3-10 minutes
The product team can now extract data from AWS RDS, Excel and CSV files
The client’s Data Scientists received ready data-models they can write queries for
“Each person we dealt with was extremely smart and skilled.”
Said by an engineer of a US energy company in a ★5 review. Give your data a job with us.
We regard the TSH team as co-founders in our business. The entire team from The Software House has invested an incredible amount of time to truly understand our business, our users and their needs.