We are transforming the relationship between business and data with a collaborative, real-time and immersive experience.
With several Big Data solutions available, choosing the best one for your needs is a challenge. The Big Data services of Kumulus users as companies to demystify this process. Our data architects, engineers and consultants can use Big Data and create a reliable and scalable solution that seamlessly integrates with your existing data infrastructure. From strategy definition to deployment, monitoring and sustaining your data infrastructure, we help you assess your needs, design your architecture and create, deploy and manage your solution, recover what you enjoy from the best data and events relevant and competitive in the market.
As activities that start and conclude Big Data projects see practical results and significant value, especially those that understand the importance of data engineering for those who Analytics projects can occur satisfactorily. Those who are on the margins of traditional data analysis models, or until they are not thinking about it, unfortunately, are left behind.
Planning
In the planning phase, we work closely with our customers to understand the objectives and desired results. Based on this assessment, we work on mapping existing data sources and potential use cases, in addition to assessing the technologies needed to support the project’s objectives. From there, it is possible to define the solution architecture and create a detailed deployment plan, thus advancing to the implementation phase.
Implementation
With the data sources and the transformation needs mapped, it is possible to implement the architecture defined in the planning phase. Such structures may involve the creation of pipelines for ingesting structured, semi-structured or unstructured near-real time data with and without transformation and traditional ETL loads, which will be stored in robust Data Lake structures or modern Data Warehouses. Our work includes, in addition to the implementation and configuration of Big Data technology components, the development of data models, data processing and management of the entire pipeline, in addition to data integration, checks, tests and visuals based on the models presented.
Support
Our support team is led by Big Data engineers with expertise in managing robust and mission-critical environments. We operate on a 24×7 scale in monitoring and reactive and proactive performance, working on the optimization of Big Data systems, continuous improvement in loading processes and data ingestion with a focus on management, performance and security. Our team also acts as trusted advisors for new Analytics and Data Science projects, supporting developers to consume data efficiently, implementing new features, adding new data sources and taking care of all data engineering so your company can focus on the insights that the data will bring them.