Convert Parquet to PDF Table

Apache Parquet is a columnar storage format that works great with big data processing frameworks. It compresses and encodes data efficiently, which saves a lot of storage space and makes reading data faster.

Parquet can handle complex nested data structures. It lets you query and work with specific columns without having to read the entire dataset.

Compression

Parquet supports several compression algorithms like Snappy, Gzip, and LZO. These compression techniques help reduce storage space and speed up data processing tasks.

Adobe created PDF (Portable Document Format) to show documents the same way across different devices and platforms.

PDFs have some cool features:

• They keep formatting intact, including fonts, images, and layout
• You can add interactive elements like forms and links
• They can be password protected for security
• Almost any device or operating system can open them

PDFs are great for keeping documents looking the same, but they can be tricky to edit compared to other formats.

Getting Data from PDFs

Konbert is really good at pulling structured data from PDFs. We can handle complex documents like invoices, bank statements, and financial reports. Our system uses advanced OCR, large language models, and smart algorithms to extract high quality data.

Here are some things our PDF data extraction can do:

• Find and extract tables accurately, even from tricky layouts
• Understand semi structured documents like invoices and receipts
• Handle many different bank statement formats
• Pull out key value pairs and form fields
• Work with multi page documents and process batches

People often use it for:

• Automating data entry from invoices and purchase orders
• Looking at financial data from bank and credit card statements
• Getting table data from research papers and scientific documents
• Digitizing old documents and archives
• Processing legal documents and contracts

Our system is very accurate and reliable. It works well for both personal use and big companies that need to extract lots of data.