Data Integration
Data Science
| Beginner
- 10 videos | 37m 32s
- Includes Assessment
- Earns a Badge
Data integration is the last step in the data wrangling process where data is put into its useable and structured format for analysis. Explore examples of practical tools and techniques for data integration.
WHAT YOU WILL LEARN
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Use csvjoin to concatenate csv dataUse the cat function to concatenate separate logs into a single fileSort lines in a text fileMerge separate xml files into a single schemaAggregate data from a csv file into a table of summarized values
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Normalize data from unstructured sourcesDenormalize data from a structured sourceUse pivot tables to cross tabulate dataInsert missing values in a data setUse csvjoin to merge two compatible csv documents into one
IN THIS COURSE
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3m 29sIn this video, learn how to use csvjoin to join CSV data. FREE ACCESS
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2m 47sIn this video, find out how to use the cat function to join separate logs into a single file. FREE ACCESS
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4m 35sDuring this video, you will learn how to sort lines in a text file. FREE ACCESS
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5m 50sIn this video, you will learn how to merge separate XML files into a single schema. FREE ACCESS
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3m 46sIn this video, you will aggregate data from a CSV file into a table of summarized values. FREE ACCESS
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3m 11sDuring this video, you will learn how to normalize data from structured sources. FREE ACCESS
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3m 1sIn this video, you will normalize data from a structured source. FREE ACCESS
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3m 51sFind out how to use pivot tables to cross-tabulate data. FREE ACCESS
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4m 56sIn this video, you will learn how to insert missing values in a data set. FREE ACCESS
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2m 6sFind out how to use csvjoin to merge two compatible CSV documents into one. FREE ACCESS
EARN A DIGITAL BADGE WHEN YOU COMPLETE THIS COURSE
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