Update README.md

README.md

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-### Tables:
+### Tables (https://www.kaggle.com/c/expedia-hotel-recommendations/data):
+
+Load train.csv.gz into hdfs by running ```hdfs dfs -put train.csv.gz /tmp/test/hotels/train.csv.gz```
+
+#### Fields
+
+|Column name |	Description |	Data type |
+|:-----------|:-------------|----------:|
+*date_time*|Timestamp|string
+*site_name*|ID of the Expedia point of sale (i.e. Expedia.com, Expedia.co.uk, Expedia.co.jp, ...)|int
+*posa_continent*|ID of continent associated with site_name|int
+*user_location_country*|The ID of the country the customer is located|int
+*user_location_region*|The ID of the region the customer is located|int
+*user_location_city*|The ID of the city the customer is located|int
+*orig_destination_distance*|Physical distance between a hotel and a customer at the time of search. A null means the distance could not be calculated|double
+*user_id*|ID of user|int
+*is_mobile*|1 when a user connected from a mobile device, 0 otherwise|tinyint
+*is_package*|1 if the click/booking was generated as a part of a package (i.e. combined with a flight), 0 otherwise|int
+*channel*|ID of a marketing channel|int
+*srch_ci*|Checkin date|string
+*srch_co*|Checkout date|string
+*srch_adults_cnt*|The number of adults specified in the hotel room|int
+*srch_children_cnt*|The number of (extra occupancy) children specified in the hotel room|int
+*srch_rm_cnt*|The number of hotel rooms specified in the search|int
+*srch_destination_id*|ID of the destination where the hotel search was performed|int
+*srch_destination_type_id*|Type of destination|int
+*hotel_continent*|Hotel continent|int
+*hotel_country*|Hotel country|int
+*hotel_market*|Hotel market|int
+*is_booking*|1 if a booking, 0 if a click|tinyint
+*cnt*|Numer of similar events in the context of the same user session|bigint
+*hotel_cluster*|ID of a hotel cluster|int
 
 ### To create the tables above run: