Google Cloud Bootcamp for your Data Analytics

Thanks to Google Cloud Bootcamp you will run your first analytics scenario or you will experiment with advanced analytics and Machine Learning in the public cloud. During the course of 6-8 weeks, we will define a Data Strategy for your business needs, build an MVP (Minimum Viable Product) and roll it out to your users. We will also share our knowledge with your Team so you can easily maintain the application and possibly extend it in the future.

They get value from analytics in the cloud

How does the Google Cloud Bootcamp work?


Data Strategy Workshop

Defining a first business case for analytics solutions is extremely important for the organization as it have to bring real value for the future users in a short period of time. During Data Strategy Workshop we will help you define a strategy for your analytics, review your use cases and help to choose the one with the biggest value for your business. At this stage we will also define initial requirements for security and governance to be used further in the analytics environment.

The goal of the program is to prove how analytics can help your organization in achieving business goals through fast development process based on public cloud functionalities.


Data Roadmap Workshop

This workshop let us summarize all the experiences from building MVP product in the context of your Data Strategy. Together with your Leadership we will help you define your data strategy and draw a roadmap for your organization to reach the next level of digital transformation.



This step is about information gathering to help us better understand your organisation and your data. We will set up our working environment and if needed we will create Google Cloud account for you. Finally, we will confirm the scope of the MVP product.


MVP Building

During development step we focus on two deliverables - Minimum Viable Platform and Minimum Viable Data Product.

Minimum Viable Platform is an analytics environment that allows to load, process and transform data for further reporting. It covers the whole software development life cycle starting at code versioning, through automation (CI/CD pipeline) to monitoring.

Minimum Viable Data Product is an application whose primary objective is to use data to facilitate project goal, to satisfy an objective of the use case. In our case it is usually a report or visualization together with a data pipeline that loads and transforms data from the source. However it can be also a real time dashboard or data feed for external systems that includes Machine Learning. At this stage you can expect to receive a working product based on the defined use case.


MVP Demo

During Demo meeting we will show the functionalities of the platform and application we are about to build to satisfy the use case scenario. At this point we can roll out the application to business users.

It is important to emphasize that both Minimum Viable Platform and Minimum Viable Data Product are fully working applications that can evolve incrementally in the future by adding new data sources, new pipelines and reports.



(Optional) If you want to build your internal capabilities regarding building and maintaining data-driven applications using Google Cloud Platform we can provide a set of technical and business-oriented trainings for your Team. However such training package is usually tailored to the needs of your organization and is an optional addition to the Bootcamp.


Knowledge sharing

We want your Team to be capable of running and maintaining the application. During knowledge sharing sessions we will provide documentation and hand over the code.

How does the Google Cloud Bootcamp work?

How your business can benefit from Big Data Analytics?

There are endless possibilities to analyse data using public cloud services. Here are some ideas on where we could help in:

Customer Data Platform

Consolidate knowledge about your customers creating 360° view and apply Machine Learning techniques to optimise your marketing and sales

Analytics dashboard

Get the insights from external data combined with your internal data sources, all in one place

Financial reporting

Integrate your financial data in one place and benefit from cross-domain analysis

Operational management

Extract operational data from your industry management systems and visualize your KPIs

Customer Journey

Track all touch points your customers have with your brand

Digital Marketing Platform

Improve efficiency of your campaigns and make better use of your budgets

Machine Learning Operations

Make your models available for other applications

Video analytics

Let AI analyse your video and deliver insights

Smart metering

Analyse data from your IoT devices and visualise metrics

Our Google Cloud Projects

Mamava - breastfeeding supported with modern IoT and app features

mamava big data getindata iot 2.png

We created dashboards which allow Mamava to track lactation pods state and detect anomalies that may indicate failure or defect. We also supported them in approaching pods location analysis. Thanks to geospatial data it was possible to visualize pods location on the map and create alerts on changes in pods position including maps and timing details.

Main technologies: Google Cloud, BigQuery, Tableau

Truecaller - armed with data analytics to control incoming calls

truecaller cloud journey getindata.png

We are building and using a robust, petabyte-scale and cost-effective Data Analytics Platform taking advantage of Google Cloud Platform and open-source technologies to collect, store, and analyze data of 250M users and 500k+ events per second.

Main technologies: Google Cloud Platform, BigQuery, Data Studio, Data Proc, Kafka, Spark, Airflow, Kubernetes

How we work with customers?

We have a different way of working with clients, that allows us to build deep trust based partnerships, which often endure over years. It is based on a few powerful and pragmatic principles tested and refined over many years of our consulting and project delivery experience.

  • Data Thinking

    Data Thinking

    We believe that your data can be transformational for your business and enable your growth only when you start thinking about identifying, understanding and getting insights from your data from Day 1

  • Use case-driven analytics

    Use case-driven analytics

    We do not build solutions just for the sake of developing software, our projects are always driven with the clear value for the users. We start with defining business use cases and priorities to deliver the results fast.

  • Experience in data and analytics

    Experience in data and analytics

    We have very extensive experience in managing and analysing data from various data sources, no matter what technologies are involved. We usually hold a role of architects and domain experts.

  • Open Source or native Cloud services

    Open Source or native Cloud services

    We build our solutions with openness in mind, so we extensively use Open Source software, however in some cases we suggest to use managed services offered by public cloud providers

  • Technology agnostic

    Technology agnostic

    Our solutions are designed to accommodate best practices and our vast experience in Big Data and are not based on specific technologies. This gives us a flexibility to adjust the design to the project specifics and current state-of-the-art to better serve the goal.

  • DataOps principles

    DataOps principles

    Our code is versioned, unit tested and deployed using CI/CD environment and located in the context of data by employing data testing tools

Watch our webinar: Strategies for on-premise to Google Cloud migration

Ready to start Cloud Bootcamp?

Please fill out the form and we will come back to you as soon as possible to schedule a meeting to discuss about your needs.

What did you find most impressive about GetInData?

GetInData is a relatively small agency with experienced professionals that enjoy and perform their job exceptionally well. Their attentiveness and code quality are impressive
We were super impressed with the quality of their work and the knowledge of their engineers. They have very high standards in terms of code quality, organisational skills and are always willing to contribute with their best. They also are very friendly and easy going people, what made our collaboration more fun.
They did a very good job in finding people that fitted in Acast both technically as well as culturally.

Let's start a cloud journey together

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