Cloudera Docs

Advanced Analytics overview

Cloudera Data Visualization provides features for modeling complex data, defining analytical entities, performing advanced calculations, and exploring data through specialized visualizations to support advanced analysis. These capabilities help you analyze data at different levels of granularity, identify patterns and behaviors, and create more sophisticated analytical workflows than those supported by standard visualizations.

Data modeling for analytics

Data modeling features help you organize and structure data for analysis.

Complex Data Types

Cloudera Data Visualization supports native complex data types, allowing you to work with nested data structures without flattening them during data preparation.

Supported complex data types include:
  • STRUCT
  • ARRAY
  • MAP
Dimension Hierarchies

Dimension hierarchies define relationships between dimensions at different levels of granularity. They enable users to drill from higher-level summaries to more detailed views of the same data.

Examples:
  • Region → Subregion → Country
  • Year → Quarter → Month

Analytical entities

Analytical Entities

Analytical entities allow you to define meaningful groups and behaviors within a dataset.

Segments

Segments define reusable groups of records based on filter criteria. They can be used for cohort analysis, audience segmentation, behavioral analysis, and filtering.

Events

Events identify significant occurrences in time-stamped data. Event definitions help analyze workflows, user journeys, and behavioral patterns over time.

Advanced calculations

Derived Data

Derived data enables you to create reusable calculations and build analytical results on top of existing queries and datasets.

Analytic Functions

Analytic functions perform calculations across related groups of rows while preserving the original level of detail. Examples include ranking, running totals, moving averages, and comparisons with previous or subsequent values.

Advanced visual analysis

Advanced visualization features help you explore analytical results from multiple perspectives.

Visuals for Analytics

Specialized visual types support advanced analytical use cases such as:

  • Funnels
  • Flows
  • Correlation flows
  • Histograms
Advanced Visualization Techniques

Advanced visualization techniques provide additional ways to analyze and compare data, including:

  • Trellised visuals
  • Dual-axis visuals
  • Multiple-measure analysis
  • Hierarchical visualizations
  • Interactive legends