Data Platform Development

Do you need to renew your data platform?

Many organisations have one or more data platforms in the form of data warehouses and data lakes established on-premise over time, which can no longer store and process more and different types of data, or deliver fast enough for use cases related to machine learning and advanced analytics.

There is a need to renew the data platform, and perhaps move towards a data lakehouse as an architectural pattern. Most organisations choose to establish a new data platform on a cloud infrastructure from, for example, Azure, Google Cloud and AWS, which is better equipped to be the foundation for creating an even more data-driven organisation.

The data platform facilitates the availability, integration, quality and structuring of data, while ensuring security and GDPR compliance. It serves as both a processing engine for advanced analytics and a source of quality-assured and processed data for reporting solutions and external parties. The data platform should contribute to automating data flows and enabling self-service analytics and insight.

The data platform needs a dedicated team

We believe that the data platform needs a dedicated team. In a larger organisation, such a team often consists of 2-8 data platform developers and architects, who contribute to enabling data scientists, data engineers, BI developers and end users to work effectively with analytical data.

The data platform team should provide the capabilities required by the use cases, whether these are related to real-time data, machine learning or reporting.

Our data platform services

We often help establish and staff a dedicated data platform team, together with developers from the client. We help you design, develop and operate your data platform, including data and analytical pipelines (DataOps, MLOps) running on the platform.

We work according to DevOps and DataOps principles. Simply put, this means that we develop, operate and improve in a continuous process.

We contribute to establishing new architecture (data lakehouse, data warehouse, data lake, etc.), as well as processes and routines.

We deliver:

1. Architecture design and planning

We can help you understand the needs and requirements of your organisation. Our experts can assist in designing a data lakehouse architecture that suits your organisation’s specific needs, and that leverages technology in the best possible way. We can translate the design into a plan for realisation.

2. Implementation and integration

We can assist in setting up architecture and technologies related to data and analytics on your cloud platform. Our consultants can work with you to fine-tune and optimise the cloud infrastructure, ensuring high performance and efficient resource utilisation.

3. Migration of existing data solutions

We help you, as data architects and data engineers, migrate existing data integrations, transformations and associated analytics and reporting solutions to a new platform. There is often a need to build new ways of working, which is best done through the first use cases. We recommend these should be relatively simple, but deliver a new solution end-to-end.

4. Training and capability building

We can offer training and support for your team to ensure they have the knowledge and skills required to work effectively with new architecture, technology and working methods.

5. Platform development and operations

Our experts can offer ongoing development, operational support and maintenance of the data platform, so that you can focus on leveraging data, analytics and AI to drive your business forward.

Our data platform expertise

We have expertise in Azure (Microsoft Fabric and Azure Synapse) and Google Cloud, and are enthusiastic about technologies like Snowflake, Databricks and dbt. We use tools such as Git and Terraform. We have partnerships with all the major players, and have extensive experience with the various building blocks of a data platform.

Because we are a product- and technology-independent supplier, we assemble data platforms based on the components and products that are best suited to your organisation and business goals. We continuously evaluate new technology that can contribute to increased security, stability, cost efficiency, performance or new capabilities.

Our data platform architects and developers have expertise in tasks such as:

• designing data architecture based on business needs
• building solid and scalable data platforms
• setting up CI/CD pipelines
• implementing data platform as code
• building robust and automated pipelines for ingesting and processing data
• setting up and improving monitoring
• ensuring effective security and access management
• working according to agile methodology, with continuous development of capabilities in deliveries

Why you should choose Glitni

1. We see the big picture so you get lasting value

We identify the right problems and connect them with effective technological solutions, and communicate equally well with technologists and business stakeholders. We care about all the pieces of the puzzle, and seek to create long-term value by changing both people and processes so that better decisions are made. We bring perspectives on work processes, delivery models and other elements that must be in place to get value from data and the data platform.

2. We have cross-functional expertise to solve most challenges

At Glitni, we work in data platform teams with cross-functional expertise. These teams are assembled to set up the data platform that creates the most value for your company. We enjoy being both data platform architects and data platform developers. We look for the best solutions to the challenge, and then implement them.

3. We have experience that ensures you do the right things

We have experience from both large and small projects, requiring both navigation and process understanding, and new, agile ways of working. Our experience means we dare to challenge you. We bring experience from new technologies and methods that can create value for you as a client. We build solutions that work now - and that you can adjust as your business needs change.

4. We bring templates and methodology that save you time

Glitni brings its own templates and code examples for setup (Infrastructure as Code), data ingestion, data orchestration, data transformation and storage. The templates and examples give us a good starting point to adapt to your organisation’s needs.

5. We work together, so you build competence

We want to work as an integrated team together with you and other partners you use. It is important that your own resources actively participate in the architecture and development work, and in daily operations, so that you are able to make informed choices related to solution design and can shape the data platform yourselves. This collaborative approach also ensures that there are no handovers from consultants to you.