I would convert your file first to CSV format. Then, there are a number of options for importing CSV files. If Import is too slow, you can try something similar to what is described here or herehere. The method described in the former link may require custom code, while the first method of the two described in the latter link is quite general and should work out of the box (but may be somewhat slower). If your resulting data is too large to fit into the memory all at once, you may use/modify either of the above-mentioned links to load data in chunks, and convert the data into file-backed form using the large-data framework described here.
I would convert your file first to CSV format. Then, there are a number of options for importing CSV files. If Import is too slow, you can try something similar to what is described here or here. The method described in the former link may require custom code, while the first method of the two described in the latter link is quite general and should work out of the box (but may be somewhat slower). If your resulting data is too large to fit into the memory all at once, you may use/modify either of the above-mentioned links to load data in chunks, and convert the data into file-backed form using the large-data framework described here.
I would convert your file first to CSV format. Then, there are a number of options for importing CSV files. If Import is too slow, you can try something similar to what is described here or here. The method described in the former link may require custom code, while the first method of the two described in the latter link is quite general and should work out of the box (but may be somewhat slower). If your resulting data is too large to fit into the memory all at once, you may use/modify either of the above-mentioned links to load data in chunks, and convert the data into file-backed form using the large-data framework described here.
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I would convert your file first to CSV format. Then, there are a number of options for importing CSV files. If Import is too slow, you can try something similar to what is described herehere or here. The method described in the former link may require custom code, while the first method of the two described in the latter link is quite general and should work out of the box (but may be somewhat slower). If your resulting data is too large to fit into the memory all at once, you may use/modify either of the above-mentioned links to load data in chunks, and convert the data into file-backed form using the large-data framework described herehere.
I would convert your file first to CSV format. Then, there are a number of options for importing CSV files. If Import is too slow, you can try something similar to what is described here or here. The method described in the former link may require custom code, while the first method of the two described in the latter link is quite general and should work out of the box (but may be somewhat slower). If your resulting data is too large to fit into the memory all at once, you may use/modify either of the above-mentioned links to load data in chunks, and convert the data into file-backed form using the large-data framework described here.
I would convert your file first to CSV format. Then, there are a number of options for importing CSV files. If Import is too slow, you can try something similar to what is described here or here. The method described in the former link may require custom code, while the first method of the two described in the latter link is quite general and should work out of the box (but may be somewhat slower). If your resulting data is too large to fit into the memory all at once, you may use/modify either of the above-mentioned links to load data in chunks, and convert the data into file-backed form using the large-data framework described here.
I would convert your file first to CSV format. Then, there are a number of options for importing CSV files. If Import is too slow, you can try something similar to what is described here or here. The method described in the former link may require custom code, while the first method of the two described in the latter link is quite general and should work out of the box (but may be somewhat slower). If your resulting data is too large to fit into the memory all at once, you may use/modify either of the above-mentioned links to load data in chunks, and convert the data into file-backed form using the large-data framework described here.
lang-mma