Implement writing Parquet files into Cassandra natively

Writing Parquet files into Cassandra could allow parallel writes of multiple pages into different cells, and low latency reads with a persistent connection to C\*.

Each page could be written to separate C\* cells, with metadata written into a separate column family.

A possible way of implementing is:

- abstract ParquetFileWriter -> ParquetDataWriter. writeDictionaryPage, writeDataPage are abstract methods.
- ParquetFileWriter implements ParquetDataWriter, writing the data to Hadoop compatible files.
- ParquetCassandraWriter implements ParquetDataWriter, writing data to Cassandra
- for each page, metadata is written to Metadata CF, with key :::
- for each page, data is written to Data CF, with key :::
- footer is written to Metadata CF, with key

- abstract ParquetFileReader -> ParquetDataReader. readNextRowGroup, readFooter are abstract methods. Chunk will also need to be abstract.
- ParquetFileReader implements ParquetDataReader, reading from Hadoop compatible files.
- ParquetCassandraReader implements ParquetDataReader, reading from Cassandra

- ParquetDataWriter and ParquetDataReader are instantiated through reflection.

**Reporter**: [Issac Buenrostro](https://issues.apache.org/jira/secure/ViewProfile.jspa?name=ibuenros)

_{**Note**: *This issue was originally created as [PARQUET-224](https://issues.apache.org/jira/browse/PARQUET-224). Please see the [migration documentation](https://issues.apache.org/jira/browse/PARQUET-2502) for further details.*}