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How to store translation into Google BigQuery?

I would like to store in BigQuery the translations of my application (dictionary, database, etc.).
The simplest way is to put the translation into my database (MySQL or SQLite) and extract each time the translation from the database, but it seems that BigQuery does not support table with BLOB data type.
What would you suggest me to store these data in BigQuery?
EDIT:
The source of the translations have already been stored in a relational database.
I need to extract/extend them in BigQuery.

A:

You can also use source code. It’s stored as a table in BigQuery and it’s easy to extract data from the source tree.
To get started, create a BigQuery project to store your code and a dataset for the table.
Once your project is created, create a new table that references your project as its destination. To do so:
dataset.create_table_from_reference_spec(PROJECT_ID);

Next, load your source code into BigQuery. This is the table’s source table. I’ve found it useful to load large source tables into staging tables first, and load the real table last.
LOAD DATA LOCAL INPATH ‘/path/to/source/table’ INTO table;

Once the source table is loaded, use BigQuery SQL to extract the data. This example uses the word_count_tokens function to extract all the characters and tokens in the file:
WITH
source_table AS (
LOAD TABLE [PROJECT_ID].source_table USING ‘feed_parse_query’
),
source_key AS (
SELECT id, word, frequency
FROM `table_prefix`.source_table
WHERE

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Today, we look at the business model, all about finding the best opportunity, your own business opportunity.

The old business model was about having a product or service that you were selling and you were doing business. You were servicing the existing market.

But, that’s not the new business model. Today’s entrepreneurs are about changing the world. They’re about changing the marketplace. They’re about taking the old business model and applying it to a new market and a new opportunity.

In this week’s #WordOfTheWeek, we’re going to
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