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. In addition to understanding the attributes of an RTDW, it is useful to look at the types of applications that can be built within the RTDW category.

Data Warehouse 97

Data Warehouse Dashboards Optimization Interactive 97

Jet Global

SEPTEMBER 1, 2023

Data-Driven Decision Making: Embedded predictive analytics empowers the development team to make informed decisions based on data insights. By integrating predictive models directly into the application, developers can provide real-time recommendations, forecasts, or insights to end-users.

Predictive Analytics 52

Predictive Analytics Risk Analytics Data-driven 52

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

Jet Global

DECEMBER 12, 2024

This enables organizations to build and deploy conversational BI agents, predictive models, and real-time data insights seamlessly, empowering users with personalized and actionable intelligence at scale.

Analytics 52

Analytics Reporting Dashboards Business Intelligence 52

Jet Global

JULY 17, 2023

The column to predict here is the Salary, using other columns in the dataset. If there are missing values in the input columns, we must handle those conditions when creating the predictive model.

Predictive Analytics 52

Predictive Analytics Reporting Strategy Enterprise 52

Jet Global

MAY 1, 2023

Predictive analytics use a combination of data sets from multiple sources to find relationships and correlations.

Analytics 52

Analytics Cost-Benefit Visualization Dashboards 52