Big Data consulting tailored to your business needs.
We design Big Data platforms. We realise the full potential of data. Data is about people - for people. We can simply say - Datumo is dedicated to helping people understand each other.
2017
when the story begins
50
Big data experts on board
36
Successfully delivered long-term projects
7
man-hours worked on projects
Our partnerships:
Services
We are the best at
Data Platform Creation
- data platform designing and developing on Google Cloud, Snowflake and Azure
- optimizing platform cost and efficiency
- creating data catalogs with data lineage information
- architecting Customer Data Platforms (CDP) on Google Cloud, Snowflake and Azure
- constructing data lakes on BigQuery and Snowflake with built-in data sharing mechanisms
Data Platform Migration
- planning and implementing data platform migrations
- developing tools for seamless migrations
- ensuring data synchronization during transitions
- enabling transitions to modern services like Snowflake and BigQuery
Data Platform Modernization
- deploying distributed schedulers, such as Airflow to streamline and automate your data workflows
- introducing GitOps and DataOps approaches to enhance platform management
- implementing DevOps practices and automating the creation of developer environments using Terraform
- optimizing data pipelines and workflows for scalability and reliability
- providing training and knowledge transfer to empower your team in modern data platform practices
Data Pipelines Engineering
- designing and automating ETL workflows using technologies like Spark, Airflow, Databricks, Snowflake, DBT, and BigQuery
- centralizing and automating month-end closing and reconciliation processes, including data scheduling and migration
- designing ETL processes with a focus on compliance and data quality
- validating KPIs and ensuring the accuracy of business metrics
- maintaining and optimizing Databricks environments, automating processes with tools like Databricks Workflow, Azure Data Factory, and Control-M
Realtime System Creation
- architecting and building real-time data streaming systems, processing data in an event-based fashion
- specializing in creating real-time pipelines using technologies like Spark, Snowflake, Event Hub, Kafka, Python, Druid, and Spark Streaming
- optimizing and scaling real-time data processing infrastructure as the workload grows
- developing mechanisms for real-time fault detection and response
- deploying custom modules like Azure IoT Edge, Kafka Connect, and Kafka Streams for tailored solutions
Observability & FinOps
- conducting cost analysis and providing cost optimization recommendations for cloud (GCP, Azure), Snowflake and Databricks environments
- building monitoring solutions to track resource utilization, performance, and cost-efficiency
- offering regular reporting on resource utilization and cost management to ensure transparency
- setting up automated alerting systems to detect anomalies and cost overruns in real-time
- fine-tunning Spark jobs for improved efficiency
AI Model Deployment & Maintenance
- specializing in deploying and maintaining AI models to optimize various business processes
- developing customized AI models tailored to your specific needs and goals
- continuously monitoring and fine-tunning AI models to ensure accuracy and performance
- providing ongoing support and maintenance to keep AI systems up and running smoothly
We are trusted by:
TESTIMONIALS
Our Clients about us
The words of our Clients speak for us
I've been working directly with data engineers from Datumo for the past year to build the next-generation data platform and I'm very pleased with our collaboration and the value they bring. They demonstrate strong technical skills, high engagement and solid sense of ownership - qualities we seek in all our partners.
Andrzej Lewcun
Data Engineering Lead, G2A
"C&F chose Datumo as a partner in Big Data and Cloud projects because we share similar values. We care about delivering high quality solutions, building long-lasting relationships with clients, and going the extra mile to satisfy client needs. Our unique value proposition is a holistic approach to building modern data platforms. C&F’s deep understanding of the Life Science industry and solid experience in Data & Analytics projects combined with Datumo’s Big Data & Cloud skills enable our partnering companies to support the most demanding of customers."
Wojciech Winnicki
CTO, C&F
"iTaxi is an innovative company which requires a modern data platform. Datumo delivered an end-to-end data platform that supports data democratization. Datumo integrated our data sources into the cloud, built a modern data warehouse, helped us with data processing and supported the creation of data dashboards. As a result, we use data in a more efficient way and we can support our real-time use-cases. We recommend Datumo as a Big Data & Cloud partner."
Gaweł Boguta
CTO, iTaxi
"Not only did Datumo help us to improve our core services and processes, but they also shared their Big Data knowledge and best practices with us. They prepared us for implementing new solutions and functionalities. Their expertise, as well as domain and industry experience make them true professionals. Our collaboration with Datumo was very beneficial and boosted our Big Data skills."
Jakub Chmiel
Data master
"Datumo structured our data and provided a solution that reports key business metrics in real time. The solution allows convenient data management which can also be done by people without any programming skills. Datumo built a Big Data platform for data analysis and created a recommendation model based on machine learning. They are highly reliable experts."
Arkadiusz Kuchto
CEO, Goldenline
Knowledge Zone
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Learn how a Customer Data Platform (CDP) can transform your business by centralizing customer data from various sources to create a complete 360° customer profile. Explore how CDP enhance personalized experiences, boost engagement, and drive business growth.
Machine learning on IoT Edge
The edge machine learning, or ML@Edge for short, is an innovative approach poised to revolutionize the landscape by decentralizing computation, placing it closer to the data source. This article seeks to delve deeper into the intricacies of ML@Edge approach using Azure Cloud, explaining how this intersection tackles the challenges posed by traditional computing and unlocks a new era of edge intelligence.
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Make BIG data breakthrough!
Send us your inquiry via the contact form. We will contact you and together we will discuss the proposed actions for your data.