Cloudera

NOVEMBER 2, 2020

These are end-to-end, high volume applications that are used for general purpose data processing, Business Intelligence, operational reporting, dashboarding, and ad hoc exploration. cleansing, feature engineering, CDC reconciliation) or for stream analytics (e.g. General Purpose RTDW.

Data Warehouse 97

Data Warehouse Dashboards Optimization Interactive 97

Jet Global

AUGUST 13, 2024

Demand Forecasting: Machine learning analyzes sales data to predict future demand, leading to better inventory management and resource allocation. Risk Management: AI-powered anomaly detection and predictive modeling identify potential supply chain disruptions, allowing for proactive risk management.

Manufacturing 52

Manufacturing Reporting Optimization Sales 52

Jet Global

MAY 9, 2024

Machine Learning Pipelines : These pipelines support the entire lifecycle of a machine learning model, including data ingestion , data preprocessing, model training, evaluation, and deployment. By integrating predictive models into data pipelines, organizations can benefit from actionable insights that drive strategic planning.

Data Lake 52

Data Lake Data Warehouse Business Intelligence Machine Learning 52