Data Processing Pipeline Manager

from typing import Any, Dict

def create_catalog_from_config(config: Dict[str, Any]) -> Any:
    """
    Create a DataCatalog instance from a configuration dictionary.

    Args:
        config: Configuration dictionary for the catalog

    Returns:
        Data catalog instance
    """
    pass

def save_dataset(catalog: Any, dataset_name: str, data: Any) -> None:
    """
    Save data to a dataset in the catalog.

    Args:
        catalog: The data catalog instance
        dataset_name: Name of the dataset to save to
        data: Data to save
    """
    pass

def load_dataset(catalog: Any, dataset_name: str) -> Any:
    """
    Load data from a dataset in the catalog.

    Args:
        catalog: The data catalog instance
        dataset_name: Name of the dataset to load from

    Returns:
        The loaded data
    """
    pass

def dataset_exists(catalog: Any, dataset_name: str) -> bool:
    """
    Check if a dataset exists in the catalog.

    Args:
        catalog: The data catalog instance
        dataset_name: Name of the dataset to check

    Returns:
        True if dataset exists, False otherwise
    """
    pass

class DictMemoryDataset:
    """
    A custom in-memory dataset for storing Python dictionaries.
    Should implement load() and save() methods to work with the data catalog.
    """
    pass