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While your table’s being created, you can monitor the progress of the data load task by clicking the “Job History” link at the upper-the left of the screen. This brings up the "Recent Jobs" screen pictured here. Despite the reference to “history” in the link, you can view running jobs too. Click one and you’ll get the detail shown here.
Of course, if you’ve got data in CSV format, nothing stops you from opening it in Excel. From there, you could save the data in Excel’s own file format, then start crunching its numbers.
Google describes BigQuery as a column store database that works well for OLAP (OnLine Analytical Processing) queries. Microsoft PowerPivot, a free add-in for Excel 2010, precisely fits that description as well and can import from CSV files just fine. Here’s what the data looks like once it’s in PowerPivot. Throwing large datasets in PowerPivot will give you far better performance than storing the same data directly in a spreadsheet.
One very powerful aspect of PowerPivot is its use of data compression. The CSV file containing the six states’ baby data was over 20MB. The Excel workbook containing the PowerPivot model with that same data was less than 1MB.