I have a workbook with data spanning 1999-2011 in separate sheets each sheet having data for 12 months and data for respective days. I would like do ad hoc querying on this data. How do we import this entire data to Hadoop for analysis?
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I pretty much understand that we can do some data cleansing and convert that into dimensions and aggregates for analysis. I'm curious to know what will be approach if this considered to be unstructured as the goal would be do adhoc querying on the data (e.g.,) Query the data for a specific year, months ,date etc.,?
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Answer:
Is this data in a Excel file? It sounds like it is. I would further guess that you have less than 65,000 rows and less than 256 columns (as I think those were the limits in older file versions). If so, Hadoop is massive overkill. Create a simple little SQL table for that or just use Excel formulas or VBA. Should be a lot easier.
Andrew Comstock at Quora Visit the source
Other answers
Put this data as it is into hadoop. Use Apache Pig to clean this data and store it back into hadoop in a specific folder structure like years/months/days/ Create an external table in Hive with partitions on years/months/days Using Hive/Impala, you can now query this data
Amar Parkash
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