Effective End-To-End Data Solutions

DataStema addresses an obvious problem that all companies have at some point: the Solution Exploration phase for data solutions, part of their buyer journey process.

The Solution Exploration phase is about "What's out there to solve our problem?". For some companies, this means initiating a Request For Information or a Request For Proposal process and running a Proof Of Concept, Proof Of Technology, or Pilot project.

Deep down, the client question in this phase may be formulated as follows: "I need a way to test various data solutions before buying them, to understand which one solves our problems better, helps us in our daily work, integrates well with the current/future environment, and comes at a reasonable price, support and maintenance costs."

From our experience working with our clients, this journey is not easy. It involves a lot of communication, alignment, mediation, and negotiation between the internal clients, implementors, and vendors. We also found out that this process is not transparent enough for all the parties involved, and reaching a consensus takes multiple iterations and time.

Once you identify the organization's problems and need to take action, go to the DataStema marketplace to get, deploy, and test Data Solutions Blueprints©. These help you reduce the time, cost, and people involved in a typical buyer journey process.

Data Solution Blueprints© is a concept DataStema is proposing to the market that represents an:

Effective Data Solution

A solution that solves a specific problem, works in a productive environment, has a proven record of implementation, is documented, has at least one success story, and can be presented to a potential client.

End-To-End Data Solution

A solution that covers data architecture patterns for ingesting, storing, processing, consuming, managing, and orchestrating data and implements Data Lifecycle Management best practices.

Implemented By The Three Pillars

DataStema - Open Standard
Open Standard

That will enable all companies to define and onboard data solutions in a simple, consistent, and secure way by adhering to industry best practices.


Virtually we can create an infinite number of Data Solutions Blueprints© with the technologies from the market. But, to compare efficiently different solutions between them, we need to have common characteristics and attributes, which only a standard can provide.

We intend to use the existing standards in the industry and simplify them in a more business-terms way that not only the specialists will understand.

As deliverables part of the Open Standard, we can have: architecture diagrams and documents, functional and technical specification documents, data models, data pipelines, algorithms, scripts, and packages.

This standard will be open and transparent to all parties involved: clients, vendors, builders, and evangelists.

A governance process will be defined to maintain this standard up and running.


DataStema - Technology Framework
Technology Framework

That will simplify data solutions evaluation, adoption, and implementation by any company, with few resources.


To automate and deploy Data Solution Blueprints©, we develop a Technology Framework using Cloud-Native, Infrastructure as Code, DevOps, and CI/CD technologies that will follow the Open Standard rules, policies, guidelines, and best practices.

DataStema's scope is to make this Technology Framework public on our GitHub page to encourage other developers to contribute, thus creating a community.

We strongly advise using the Technology Framework for the newly built Data Solution Blueprints© taking into account the different maturity stages and limitations of these new technologies.

The Technology Framework will not be mandatory for existing Data Solution Blueprints© as most probably older technologies were used to build them, or the complexity of these solutions cannot support refactoring/rewriting to the new technologies but must comply with the Open Standard.

DataStema - B2B Marketplace
B2B Marketplace

That will help Clients choose, compare, deploy, test, and use Data Solution Blueprints© to validate their requirements and assumptions.


Data Solution Blueprints© will be available on this marketplace as accelerators, solutions, or products cataloged by use-case on sector or industry.

If you have a data solution that solves a real problem, has a success story, and can be presented to other companies, we invite you to be onboard it on the DataStema marketplace to extend your business opportunities, reach new potential clients, markets, and industries, and drive sales growth.

Via an online onboarding process, we will help and guide you through submitting your Data Solution Blueprints© aligned with the Open Standard and - in some cases - built with the Technology Framework on the marketplace.

We are looking for investors to actively engage in our journey to disrupt the buyer journey, create a new market, and sell data solutions.


Conceptual Architecture

Data Solution Blueprints - Conceptual Architectue
We propose a fundamental Open Standard, a conceptual architecture diagram for modern data solutions split into six zones that helps implement the most common data patterns supporting your business use-cases.
    • Data Source
    • Data Destination
    • Data Lakehouse
    • Data Extraction and Loading
    • Data Transformation
    • Headless BI
    • Analytics Stack
    • AI/ML Stack
    • Data as a Service
    • Reverse ETL
    • Data Discovery and Catalog
    • Data Lineage
    • Data Governance
    • Data Privacy and Security
    • Data Quality and Observability
    • DataOps