Question: I have 500TB size HBase table in our on-premise Hadoop cluster. How can we migrate this HBase data to Google Bigtable. Any suggestion will be appreciated. We have 10 Gbps network connection between on-premise to google cloud.

Answer: 
Using below method you can convert .dst into png format files. You can also read .dst/.jpg/.pes files by using their commands. Recently, I developed simple application that can convert multiple embroidery files into images and save in particular folder.

```py
import pyembroidery

filepath=r'C://Users//Desktop//file.DST'

pattern=pyembroidery.read_dst(filepath)

var=pyembroidery.write_png(pattern, 'C://Users//Desktop//filename.jpg')

print(pattern)

print(var)

```
1. Import the `Image` module from PIL the `os` module.
2. Import the image to be converted using the `Image.open()` method.
3. Display the size of the image before the conversion using the `os.path.getsize()` method.
4. Convert the image using the `Image.convert()` method. Pass "RGB" as the parameter.
5. Export the image using the `Image.save()` method.
6. Display the size of the image after the conversion using the `os.path.getsize()` method.