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CCA 175 Real Time Exam Scenario 8 | Read CSV File | Write in HIVE Table with PARQUET File Format
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Data Description
1. All the category records are stored at /user/spark/dataset/retail_db/categories
2. Data is in text format comma separated
Output Requirement
1. create a metastore table named 'categories_parquet'
2. Table should only contain category_id, category_name
3. Save all categories in metastore table categories_parquet
4. Use parquet format for the output files
Download the sample data from our Github repository.
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1. All the category records are stored at /user/spark/dataset/retail_db/categories
2. Data is in text format comma separated
Output Requirement
1. create a metastore table named 'categories_parquet'
2. Table should only contain category_id, category_name
3. Save all categories in metastore table categories_parquet
4. Use parquet format for the output files
Download the sample data from our Github repository.
Clear CCA 175 in first attempt using our dumps : Apache Spark and Hadoop Developer Certification
Complete CCA 175 Tutorial: Apache Spark and Hadoop Developer Certification
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