End to End Data Science
Palmira is a regional partner for KNIME, we use KNIME to help our clients build software to create and productionize data science using one easy and intuitive environment, enabling every stakeholder in the data science process to focus on what they do best.
Palmira expertise empowers client to build software for fast, easy and intuitive access to advanced data science, helping organizations drive innovation. Palmira uses KNIME Analytics Platform as a leading open solution for data-driven innovation, designed for discovering the potential hidden in data, mining for fresh insights, or predicting new futures. Organizations can take their collaboration, productivity and performance to the next level with a robust range of commercial extensions to our open source platform.
For over a decade, a thriving community of data scientists in over 60 countries has been working with our platform on every kind of data: from numbers to images, molecules to humans, signals to complex networks, and simple statistics to big data analytics.
KNIME Analytics Platform is the open source software for creating data science applications and services. Intuitive, open, and continuously integrating new developments, KNIME makes understanding data and designing data science workflows and reusable components accessible to everyone.
KNIME Server is the enterprise software for team based collaboration, automation, management, and deployment of data science workflows, data, and guided analytics. Non experts are given access to data science via KNIME WebPortal or can use REST APIs to integrate workflows as analytic services to applications and IoT systems.
Open source extensions for KNIME Analytics Platform are developed and maintained by KNIME and provide additional functionalities such as access to and processing of complex data types, as well as the addition of advanced machine learning algorithms.
Open source integrations for KNIME Analytics Platform (also developed and maintained by KNIME), provide seamless access to large open source projects such as Keras for deep learning, H2O for high performance machine learning, Apache Spark for big data processing, Python and R for scripting, and more.