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"How to read JSON file in SPARK| SCALA "
package pack
object obj {
def main(args: Array[String]): Unit = {
println("Hello Guyes")
val sc = new SparkContext(conf)
}
Data= {"name":"Chris","age":23,"city":"New York"}
Data= [
{ "name": "Chris", "age": 23, "city": "New York" },
{ "name": "Emily", "age": 19, "city": "Atlanta" },
{ "name": "Joe", "age": 32, "city": "New York" },
{ "name": "Kevin", "age": 19, "city": "Atlanta" },
{ "name": "Michelle", "age": 27, "city": "Los Angeles" },
{ "name": "Robert", "age": 45, "city": "Manhattan" },
{ "name": "Sarah", "age": 31, "city": "New York" }
]
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#json
#sparkdatabox #DataEngineering, #ApacheSpark, #Scala, #PySpark, #BigData, #Python, #ETL, #DataScience, #SparkSQL, #DataPipeline, #ScalaSpark, #MachineLearning, #CloudComputing, #SparkStreaming, #BigDataTools
My Essential Gear items:
My PC Components:-
Others:
"How to read JSON file in SPARK| SCALA "
package pack
object obj {
def main(args: Array[String]): Unit = {
println("Hello Guyes")
val sc = new SparkContext(conf)
}
Data= {"name":"Chris","age":23,"city":"New York"}
Data= [
{ "name": "Chris", "age": 23, "city": "New York" },
{ "name": "Emily", "age": 19, "city": "Atlanta" },
{ "name": "Joe", "age": 32, "city": "New York" },
{ "name": "Kevin", "age": 19, "city": "Atlanta" },
{ "name": "Michelle", "age": 27, "city": "Los Angeles" },
{ "name": "Robert", "age": 45, "city": "Manhattan" },
{ "name": "Sarah", "age": 31, "city": "New York" }
]
SEARCH QUERIES:
pyspark tutorial for data engineers
what is spark in data engineering
apache spark for data engineering
spark tutorial data engineer
learn python for data engineering
data engineering on microsoft azure
kafka tutorial for data engineer
data engineering architecture interview questions
python for data engineering
advanced python for data engineering
spark interview questions for data engineer
spark architecture in big data
data engineering life cycle
kafka data engineering project
how to start data engineering career
spark projects for data engineer
data engineering project using pyspark
data pipeline in data engineering
how much python is needed for data engineer
python libraries for data engineering
data engineer scenario based interview questions
data engineer scenario based interview questions
data engineering coding interview questions
databricks data engineering associate
data engineer roles and responsibilities
data flow modeling in software engineering
apache airflow tutorial for data engineer
senior data engineer interview questions
fundamentals of data engineering masterclass
data engineer system design interview questions
#json
#sparkdatabox #DataEngineering, #ApacheSpark, #Scala, #PySpark, #BigData, #Python, #ETL, #DataScience, #SparkSQL, #DataPipeline, #ScalaSpark, #MachineLearning, #CloudComputing, #SparkStreaming, #BigDataTools