Modern Data
Stack Solutions
Bring your data to the next level
Different sources, different business requirements, different sink systems - we tame the data chaos and convert it into modern gold using state-of-the-art technologies.
We help you collect and transform your data into competitive advantages with scalable, tailored and fully automated solutions.
What Are We Good at?
We design end-to-end cloud data solutions leveraging a modern data stack. A well thought architecture can save future technical debts and we strive to define with our customers the best architecture to tackle their current and future problems.
No architectures or slide decks remain unimplemented. Implementation is our comfort zone and perfection is our constant struggle. Data technologies are evolving at a fast pace and we make sure our implementations use the latest features you can find on the market.
We maintain the implemented solutions until your data team can take the lead and we make sure you get to this point through dedicated training that bridges skill gaps. We assist you on that path by revamping your data team structure and helping you recruit key profiles.
We don’t do body shopping and leave politics behind. We only accept missions where our expertise can make a great difference. We are convinced our data stack is the best to tackle modern data problems and we stick to it.
Our
Modus Operandi
The Way We work and tackle projects
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No generic Solutions
We start with understanding how exactly your business works. We create a roadmap and analyse how and where things can be improved
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Gradual Improvements
We understand your business will keep evolving and your priorities will change over time. We will have you covered each step of the way!
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We build for ‘tomorrow’ in mind
Maintaining a clutter free data and analytics practice is our prime objective. Your teams will be set up for success without any compromises.
1-2 Weeks
“To be” architectures and demos of all technologies for the selected stack.
1 month
Implementation of a ”Proof of Concept” / “Proof of value” to prove the feasibility and added-value of the solution.
3-6 months
Implementation of the solution for production use cases.
1-6 months
Maintenance and training of the data team to take over the project.
Our Stack
Google Cloud:
We firmly believe that Google Cloud is the best place nowadays to host modern data solutions.
Data Ingestion
- Airbyte for open-source data ingestion
- Fivetran for fully-managed ingestion
- Custom connector using Python and Golang
Data transformation
- BigQuery: Google Cloud ultra scalable and fast analytical database.
- Airflow: Open-source orchestrator.
- DBT: our de facto tool to handle all your SQL transformations on top of BigQuery.
- Data modelling: experienced in star schemas and Data Vault 2.0 modelling. We use collaborative tools such as dbdiagram, dbdocs and dbml to model neatly your databases.
- Dataflow: Fully managed solution for Apache Beam streaming and batch pipelines.
DataOps/MLops
- Gitlab: Open source code repository and advanced CI capabilities via Gitlab CI.
- Terraform: Every resource we deploy is coded as infrastructure using Terraform.
- Kubeflow: Open-source tool for Machine Learning pipelines.
Data Governance
- Great Expectations: open-source tool to test data.
- DBT docs: data catalog generated automatically by DBT.
- Amundsen: open-source data catalog.
- Immuta: data security
- Atlan: enterprise-grade data catalog
Data distribution
- Apache superset: open source BI tool.
- Lightdash: open source BI tool integrated with dbt.
- Looker: fully-managed BI tool.
- Vertex AI: platform to build state of the art ML applications.
- Hasura: data as an API product via fully automated GraphQL plug into BigQuery
- Apigee: Fine-grained API management platform
- Census: reverse ETL solution.
- Grouparoo: Open-source reverse ETL
Our Customers
It was an absolute pleasure working with Astrafy; their technical expertise is as deep as it is broad.
They helped us developing a complex data pipeline using Google Cloud Dataflow and provided as well a thorough DevOps ecosystem in order to automate fully the solution. We now use this solution on a daily basis and it is a breeze.
Samuel Verboomen
Head of Data, Wequity