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.
We are the best in
- 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
- 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
- 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
- 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
- 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
- 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
- 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
Our Clients about us
The words of our Clients speak for us
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Send us your inquiry via the contact form. We will contact you and together we will discuss the proposed actions for your data.