Big Data Services

We specialize in crafting custom big data architectures, be it a data warehouse, a data lake, or a data mesh solution. When it comes to big data, one-size does not fit all; our team of experts will analyze your data requirements, will evaluate the best-suited technologies, and will design a solution that aligns with your strategic goals, while considering your constraints.

Collect and move data into big data platforms to gain insights into your customers, market, current trends and other aspects of decision-making. Our focus lies in delivering an efficient data ingest strategy that enables you to get near-instant access to the latest data. We offer high data freshness from various sources, be it batch or streaming.

We can help you solve your organization's data challenges by constructing robust and scalable data pipelines from scratch. Our team has longstanding data processing expertise and possesses the necessary skills required to transform, optimize, clean, filter, and aggregate your raw data into actionable insights.

We can help you design from scratch data warehouse models or organizing your data within your existing data warehouse, following one of the three modeling techniques: Inmon, Kimball (Star Schema), or Data Vault. We will take into consideration your requirements and help you in this continuous process, in touch with the business team, in order to serve relevant analytics cases.

Our big data team comprises full-stack data engineers, that can not only handle data but also create the infrastructure for end-to-end data solutions. Our engineers are AWS, GCP, and Azure-certified, making them able to work on both cloud-based big data solutions, and on on-premise open-source technologies, such as Kubernetes, Spark, Kafka, and more.

We have the know-how to design, build, and maintain your data in end-to-end data solutions by using programming languages such as Scala, Python, Java, and SQL. We deliver complete functional solutions, that follow the data lifecycle - collection, storage, processing, analysis, deployment, archiving - as well as offer ongoing technical support and maintenance.