End to end data science for better decision making.
KNIME Analytics Platform:
KNIME helps individuals and organizations make sense of their data. KNIME bridges the worlds of dashboards and advanced analytics through an intuitive interface, appropriate for anybody working with data. It empowers more business experts to be self-sufficient and more data experts to push the business to the bleeding edge of modern data science, integrating the latest AI and Machine Learning techniques. KNIME is distinct in its open approach, which ensures easy adoption and future-proof access to new technologies. Headquartered in Zurich, KNIME has offices in Austin, TX, Konstanz and Berlin. Learn more at www.knime.com.
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 and AI 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.
Shape your data
Derive statistics, including mean, quantiles, and standard deviation, or apply statistical tests to validate a hypothesis. Integrate dimensions reduction, correlation analysis, and more into your workflows.
Aggregate, sort, filter, and join data either on your local machine, in-database, or in distributed big data environments.
Clean data through normalisation, data type conversion, and missing value handling. Detect out of range values with outlier and anomaly detection algorithms.
Blend data from any source
Open and combine simple text formats (CSV, PDF, XLS, JSON, XML, etc), unstructured data types (images, documents, networks, molecules, etc), or time series data.
Connect to a host of databases and data warehouses to integrate data from Oracle, Microsoft SQL, Apache Hive, and more. Load Avro, Parquet, or ORC files from HDFS, S3, or Azure.
Access and retrieve data from sources such as Twitter, AWS S3, Google Sheets, and Azure.
Extract and select features (or construct new ones) to prepare your dataset for machine learning with genetic algorithms, random search or backward- and forward feature elimination. Manipulate text, apply formulas on numerical data, and apply rules to filter out or mark samples.
We provide elite Data Science services from Data to data anywhere. We help our clients in UAE, Jordan and Saudi to unlock data value by utilising the power of the AI (Artificial Intellegence) and Machine Learning (ML) models. In short, data is the fuel of future development and Palmira provide your with the best tools and expertise to accomplish your vision.