Data Tools

Streamline Your Data Workflows

Transform raw data into clean, reliable datasets ready for AI development. Collaborate, label, and optimize your data pipeline with ease.

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Overview

Sun Summit’s Data Tools simplify dataset preparation from cleaning and validation to transformation and normalization. Easily integrate data prep into your ML workflows and keep your pipelines consistent and efficient.

Data Cleaning & Validation

Easily clean, validate, and format your datasets to ensure they’re ready for analysis or model training.

Data Transformation

Transform raw data into usable formats with built-in operations like normalization, deduplication, and enrichment.

Automated Data Wrangling

Automate repetitive data wrangling tasks and ensure data quality with minimal manual intervention.

Example Code for

Data Tools

Set up and use SunSummit to define workflows, track metrics, and trigger alerts. Below are examples in different programming languages to get you started.

# Define data-cleaning steps for your dataset
sunsummit data clean \
  --dataset "s3://raw-data" \
  --steps "normalize, dedupe, validate:schema_v1.json"

# Trigger transformation process 
to normalize and deduplicate data
sunsummit data transform \
  --dataset "s3://raw-data" \
  --operation "normalize, dedupe"

# Upload the cleaned data
sunsummit data upload \
  --dataset "s3://processed-data" \
  --project "data-cleaning"

Use Cases

01

Monitor Model Quality Over Time

Continuously track model performance to ensure it maintains accuracy as data changes.

02

Compare Experiments and Versions

Easily compare the performance of different experiments or model versions to determine the best solution.

03

Get Alerts When Metrics Drop

Set up real-time alerts to notify your team when key metrics fall below the desired threshold.

04

 Share Dashboards with Your Team

Share performance dashboards and insights with your team to foster collaboration and data-driven decision-making.

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