Analytics Engineering
Analytics Engineering
Analytics Engineering
Shaping Data, Driving Insights
Shaping Data, Driving Insights
Shaping Data, Driving Insights
Analytics engineering comes to the rescue with best-practices around data transformations.
Analytics engineering comes to the rescue with best-practices around data transformations.
Analytics engineering comes to the rescue with best-practices around data transformations.
It's bringing software engineering best-practices to the data world as data needs to be tested, versioned and structured in a way that ownership and quality can be ensured.
It's bringing software engineering best-practices to the data world as data needs to be tested, versioned and structured in a way that ownership and quality can be ensured.
It's bringing software engineering best-practices to the data world as data needs to be tested, versioned and structured in a way that ownership and quality can be ensured.
Is data modelling totally absent in your transformation layer?
Is data modelling totally absent
in your transformation layer?
Is data modelling totally absent
in your transformation layer?
Are you spending most of your time back-engineering data discrepancies?
Are you spending most of your time
back-engineering data discrepancies?
Are you spending most of your time
back-engineering data discrepancies?
Exhausted from Spaghetti SQL and monolith data transformation?
Exhausted from Spaghetti SQL
and monolith data transformation?
Exhausted from Spaghetti SQL
and monolith data transformation?
?
Solutions
Solutions
Solutions
Data Transformation
Data Transformation
Data Transformation
Analytics engineering focuses on transforming raw data into curated datamarts for downstream applications. We specialize in SQL optimization, using macros and documentation for clean, DRY code.
Our expertise covers batch and real-time processing, lambda and kappa architectures, ensuring scalable data ecosystems. Proficient in dbt, Spark, and Apache Beam, we combine these tools on a solid data engineering base to streamline your data transformations.
Analytics engineering focuses on transforming raw data into curated datamarts for downstream applications. We specialize in SQL optimization, using macros and documentation for clean, DRY code.
Our expertise covers batch and real-time processing, lambda and kappa architectures, ensuring scalable data ecosystems. Proficient in dbt, Spark, and Apache Beam, we combine these tools on a solid data engineering base to streamline your data transformations.
Analytics engineering focuses on transforming raw data into curated datamarts for downstream applications. We specialize in SQL optimization, using macros and documentation for clean, DRY code.
Our expertise covers batch and real-time processing, lambda and kappa architectures, ensuring scalable data ecosystems. Proficient in dbt, Spark, and Apache Beam, we combine these tools on a solid data engineering base to streamline your data transformations.
Data Mesh
Data Mesh
Data Mesh
The rise of data transformations can turn a central data team into a bottleneck. Data mesh, decentralizes the data ecosystem into distinct data products, enhancing flexibility, ownership, and collaboration between business and technical teams.
It shifts focus from siloed to cross-functional teams with a unified goal: bring value to the business. Ideal for large, complex data environments, data mesh represents a progressive paradigm. Our engineers facilitate this transition through discovery workshops, data product definitions, and design, empowering your team to implement data products at scale.
The rise of data transformations can turn a central data team into a bottleneck. Data mesh, decentralizes the data ecosystem into distinct data products, enhancing flexibility, ownership, and collaboration between business and technical teams.
It shifts focus from siloed to cross-functional teams with a unified goal: bring value to the business. Ideal for large, complex data environments, data mesh represents a progressive paradigm. Our engineers facilitate this transition through discovery workshops, data product definitions, and design, empowering your team to implement data products at scale.
The rise of data transformations can turn a central data team into a bottleneck. Data mesh, decentralizes the data ecosystem into distinct data products, enhancing flexibility, ownership, and collaboration between business and technical teams.
It shifts focus from siloed to cross-functional teams with a unified goal: bring value to the business. Ideal for large, complex data environments, data mesh represents a progressive paradigm. Our engineers facilitate this transition through discovery workshops, data product definitions, and design, empowering your team to implement data products at scale.
Data Modeling
Data Modeling
Data Modeling
One of the most underrated activities in data. Data models organize and standardize data to align with your organization's processes and logic, ensuring data transformations are part of a comprehensive plan involving all stakeholders. Neglecting data modeling can lead to repetitive, unowned transformations for narrow purposes.
A robust data model acts as a blueprint for various future applications. Before coding, we prioritize designing adaptable data models using tools like SQLBM and Lucidchart, drawing from our expertise in 3NF, star schemas, dimensional modeling, and Data Vault 2.0, to create models best suited for your data product.
One of the most underrated activities in data. Data models organize and standardize data to align with your organization's processes and logic, ensuring data transformations are part of a comprehensive plan involving all stakeholders. Neglecting data modeling can lead to repetitive, unowned transformations for narrow purposes.
A robust data model acts as a blueprint for various future applications. Before coding, we prioritize designing adaptable data models using tools like SQLBM and Lucidchart, drawing from our expertise in 3NF, star schemas, dimensional modeling, and Data Vault 2.0, to create models best suited for your data product.
One of the most underrated activities in data. Data models organize and standardize data to align with your organization's processes and logic, ensuring data transformations are part of a comprehensive plan involving all stakeholders. Neglecting data modeling can lead to repetitive, unowned transformations for narrow purposes.
A robust data model acts as a blueprint for various future applications. Before coding, we prioritize designing adaptable data models using tools like SQLBM and Lucidchart, drawing from our expertise in 3NF, star schemas, dimensional modeling, and Data Vault 2.0, to create models best suited for your data product.
Bridging the gap
Bridging the gap
Bridging the gap
between technical and business communication is essential in data.
We use terminologies and concepts that talk to everyone.
between technical and business communication is essential in data.
We use terminologies and concepts that talk to everyone.
between technical and business communication is essential in data.
We use terminologies and concepts that talk to everyone.
Why us
Why us
Why us
Expertise in SQL, dbt, and Apache Beam
Expertise in SQL, dbt, and Apache Beam
Expertise in SQL, dbt, and Apache Beam
Experienced
in Data Mesh implementations
Experienced
in Data Mesh implementations
Experienced
in Data Mesh implementations
Partnerships with dbt Labs and Data Vault Builder
Partnerships with dbt Labs and Data Vault Builder
Partnerships with dbt Labs and Data Vault Builder
Certification in dbt
and Data Vault 2.0
Certification in dbt
and Data Vault 2.0
Certification in dbt
and Data Vault 2.0
We are official organizers of dbt Meetups in Switzerland and Madrid
We are official organizers of dbt Meetups in Switzerland and Madrid
We are official organizers of dbt Meetups in Switzerland and Madrid
Resources
Resources
