> For the complete documentation index, see [llms.txt](https://data-distilller.gitbook.io/adobe-data-distiller-guide/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://data-distilller.gitbook.io/adobe-data-distiller-guide/unit-2-data-distiller-data-exploration.md).

# Unit 2:  DATA DISTILLER DATA EXPLORATION

- [EXPLORE 100: Data Lake Overview](https://data-distilller.gitbook.io/adobe-data-distiller-guide/unit-2-data-distiller-data-exploration/explore-100-data-lake-overview.md): The data lake in Adobe Experience Platform centralizes and manages diverse data types, enabling organizations to harness their data's full potential for personalized customer experiences.
- [EXPLORE 101: Exploring Ingested Batches in a Dataset with Data Distiller](https://data-distilller.gitbook.io/adobe-data-distiller-guide/unit-2-data-distiller-data-exploration/explore-101-exploring-ingested-batches-in-a-dataset-with-data-distiller.md): It is important for you to understand how the data ingestion process works and why interrogating the records ingested in a batch may be an important tool in your arsenal to address downstream issues.
- [EXPLORE 200: Exploring Behavioral Data with Data Distiller - A Case Study with Adobe Analytics Data](https://data-distilller.gitbook.io/adobe-data-distiller-guide/unit-2-data-distiller-data-exploration/explore-200-exploring-behavioral-data-with-data-distiller-a-case-study-with-adobe-analytics-data.md)
- [EXPLORE 201: Exploring Web Analytics Data with Data Distiller](https://data-distilller.gitbook.io/adobe-data-distiller-guide/unit-2-data-distiller-data-exploration/explore-201-exploring-web-analytics-data-with-data-distiller.md): Web analytics refers to the measurement, collection, analysis, and reporting of data related to website or web application usage.
- [EXPLORE 202: Exploring Product Analytics with Data Distiller](https://data-distilller.gitbook.io/adobe-data-distiller-guide/unit-2-data-distiller-data-exploration/explore-202-exploring-product-analytics-with-data-distiller.md): Product analytics is the process of collecting, analyzing, and interpreting data related to a product's usage and performance.
- [EXPLORE 300: Exploring Adobe Journey Optimizer System Datasets with Data Distiller](https://data-distilller.gitbook.io/adobe-data-distiller-guide/unit-2-data-distiller-data-exploration/explore-300-exploring-adobe-journey-optimizer-system-datasets-with-data-distiller.md): Unleashing Insights from Adobe Journey Optimizer Datasets with Data Distiller
- [EXPLORE 400: Exploring Offer Decisioning Datasets with Data Distiller](https://data-distilller.gitbook.io/adobe-data-distiller-guide/unit-2-data-distiller-data-exploration/explore-400-exploring-offer-decisioning-datasets-with-data-distiller.md): Unleashing Insights from Offer Decisioning Datasets with Data Distiller
- [EXPLORE 500: Incremental Data Extraction with Data Distiller Cursors](https://data-distilller.gitbook.io/adobe-data-distiller-guide/unit-2-data-distiller-data-exploration/explore-500-incremental-data-extraction-with-data-distiller-cursors.md): Learn to Navigate Data Efficiently with Incremental Extraction Using Data Distiller Cursors