Tool vs Python Script for Transforming Data in Mongo
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We have a bunch of Mongo collections (data collected from APIs, web scraping, etc) that we need to transform to a cleaner data structure (standardized schema) on a monthly basis. Are there any good tools to help us manage this process, or would you recommend writing a Python script instead?
data-cleaning
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add a comment |
$begingroup$
We have a bunch of Mongo collections (data collected from APIs, web scraping, etc) that we need to transform to a cleaner data structure (standardized schema) on a monthly basis. Are there any good tools to help us manage this process, or would you recommend writing a Python script instead?
data-cleaning
$endgroup$
bumped to the homepage by Community♦ 14 mins ago
This question has answers that may be good or bad; the system has marked it active so that they can be reviewed.
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I'd look into mongo's Spark connector; Spark simplifies ETL.
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– Emre
Nov 28 '17 at 18:22
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$begingroup$
We have a bunch of Mongo collections (data collected from APIs, web scraping, etc) that we need to transform to a cleaner data structure (standardized schema) on a monthly basis. Are there any good tools to help us manage this process, or would you recommend writing a Python script instead?
data-cleaning
$endgroup$
We have a bunch of Mongo collections (data collected from APIs, web scraping, etc) that we need to transform to a cleaner data structure (standardized schema) on a monthly basis. Are there any good tools to help us manage this process, or would you recommend writing a Python script instead?
data-cleaning
data-cleaning
asked Sep 28 '17 at 16:11
RobRob
1041
1041
bumped to the homepage by Community♦ 14 mins ago
This question has answers that may be good or bad; the system has marked it active so that they can be reviewed.
bumped to the homepage by Community♦ 14 mins ago
This question has answers that may be good or bad; the system has marked it active so that they can be reviewed.
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I'd look into mongo's Spark connector; Spark simplifies ETL.
$endgroup$
– Emre
Nov 28 '17 at 18:22
add a comment |
$begingroup$
I'd look into mongo's Spark connector; Spark simplifies ETL.
$endgroup$
– Emre
Nov 28 '17 at 18:22
$begingroup$
I'd look into mongo's Spark connector; Spark simplifies ETL.
$endgroup$
– Emre
Nov 28 '17 at 18:22
$begingroup$
I'd look into mongo's Spark connector; Spark simplifies ETL.
$endgroup$
– Emre
Nov 28 '17 at 18:22
add a comment |
1 Answer
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Many ETL tools support MongoDB and are commonly used for normalizing and standardizing data. For example:
http://www.pentaho.com/analytics-for-mongodb#tab-2
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1 Answer
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$begingroup$
Many ETL tools support MongoDB and are commonly used for normalizing and standardizing data. For example:
http://www.pentaho.com/analytics-for-mongodb#tab-2
$endgroup$
add a comment |
$begingroup$
Many ETL tools support MongoDB and are commonly used for normalizing and standardizing data. For example:
http://www.pentaho.com/analytics-for-mongodb#tab-2
$endgroup$
add a comment |
$begingroup$
Many ETL tools support MongoDB and are commonly used for normalizing and standardizing data. For example:
http://www.pentaho.com/analytics-for-mongodb#tab-2
$endgroup$
Many ETL tools support MongoDB and are commonly used for normalizing and standardizing data. For example:
http://www.pentaho.com/analytics-for-mongodb#tab-2
answered Sep 29 '17 at 16:47
CalZCalZ
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I'd look into mongo's Spark connector; Spark simplifies ETL.
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– Emre
Nov 28 '17 at 18:22