AI-ETL Pipeline Jobs
Explore individual AI-powered workflow components that form the building blocks of custom workflows. Each component specializes in specific data processing tasks, from extraction to analysis to transformation.
AI Assistant
Guide AI to analyze or extract information from your data using custom prompts.
Cleanup
Clean up a DataFrame by removing specified columns, columns with a high percentage of missing values, or rows with empty values in designated columns.
Compute Score
Computes a score for each data record based on a user-defined mathematical expression, enabling ranking and filtering.
Concatenate Columns
Concatenates a list of columns into a new specified column.
Distribution Analysis
Calculates the percentage distribution of distinct values within specified columns of a dataset.
Drop Duplicates
Eliminates duplicate rows from the dataset to ensure data integrity and avoid redundant information.
Export
Exports a structured dataset to a specified destination.
Extract Insights
Extracts meaningful insights, such as sentiment, topics, and features.
Group By
Groups the dataset by a specified column and aggregates the values in the remaining columns.
Group Time Series Data
Groups time series data based on a grouping column, a time column, and optional constraints on the maximum duration and maximum count within each group.
JSON Transformer
Converts JSON data to a structured dataset.
Limit
Limits the number of rows to process.
Mapping
Creates or updates a column by evaluating a formula OR mapping numerical ranges.
Merge Datasets
Combines data from multiple sources into a unified dataset for analysis.
Reorder Columns
Rearranges the columns in a specific order to facilitate data exploration and analysis.
Semantic Clustering
Groups similar text data points together based on their semantic or statistical similarity, revealing hidden patterns and insights.
Split and Count
Analyzes a text column by splitting values based on a specified delimiter and then counting the occurrences of each resulting item.
Split and Expand
Splits values within a specified column based on a delimiter, creating a new row for each resulting value.