Data Preparation at Scale With Dataiku

AI Data Preparation

Data preparation has traditionally been the domain of data and business analysts. With the new Generative AI Data Preparation tool, analysts and business users describe the data preparation steps they want, and the system automatically creates those steps as part of visual recipes. The results are easy to review for everyone using the data preparation job.

Visual Flow

The Dataiku flow provides a visual representation of a project’s data pipeline. It is the central space where coders and non-coders view and analyze data, add recipes to join and transform datasets, and build predictive models.

The flow records every step of the data pipeline so you can explain transformations to stakeholders with confidence. Automatic versioning and a timeline of recent actions make it simple to review or revert specific changes.

The visual flow also contains code-based and plugin elements for added customization and extensibility.

Connect to Leading Data Sources

Dataiku provides pre-built connectors to dozens of leading data sources both on-premises and in the cloud. Examples include Amazon S3, Azure Blob Storage, Google Cloud Storage, Snowflake, Databricks Lakehouse, SQL databases, NoSQL databases, HDFS, and more. Regardless of size, shape, or location, you can access all your data in one place. 

Data Preparation and Enrichment

Dataiku provides easy-to-use visual interfaces for data analysis to join datasets, group and aggregate, clean, transform, and enrich data, all with a few clicks. You can even incorporate the latest Generative AI data prep techniques without code. Best of all, Dataiku automatically documents all steps in a recipe as part of the visual flow.

If you’d rather code than click, create code recipes using familiar languages such as Python, R, and SQL, developed and edited in your favorite IDE. One of the benefits of data preparation in Dataiku is that business and technical users can easily collaborate from a single location.

100 Built-in Data Transformers

The powerful prepare recipe includes 100 built-in data transformers for common data manipulations like binning, concatenation and strings manipulation, currency and date conversions, geo-enrichment, and reshaping.

When it comes to transforming raw data, Dataiku even suggests relevant functions for you based on the data’s type and values, taking some of the time-consuming work out of data preparation. 

For custom transformations, write formulas using a spreadsheet-like expression language or Python code for ultimate flexibility. Reduce errors and rework by applying transformations to a data sample before applying them to your entire dataset. 

No-Code Generative AI Recipes

Dataiku now offers visual, no-code recipes including entity extraction, sentiment analysis, text summarization, and classification running on your preferred Generative AI services.

Building real AI-powered projects with LLMs (to power real-world business decisions) is fast and easy with Dataiku recipes.

Specialized Data Preparation & Annotation

Dataiku offers a wide variety of functions and tools to parse and enrich specialized data types such as geospatial data, time series, images, and text with additional metadata and structure.

Examples include geo joins and geocoding, time series resampling, text vectorization, a managed framework for image and text annotation, and much more.