Big Data involves the processing and analysis of large and complex data sets using tools like Hadoop and Spark. As a software engineer, you'll need to be familiar with concepts like data warehousing, data mining, and data visualization, as well as tools like SQL and Tableau. Here's an example of a simple Spark program written in Scala that counts the number of occurrences of each word in a text file:
import org.apache.spark.SparkContext
import org.apache.spark.SparkConf
object WordCount {
def main(args: Array[String]) {
val conf = new SparkConf().setAppName("Word Count")
val sc = new SparkContext(conf)
val textFile = sc.textFile("hdfs://input.txt")
val wordCounts = textFile.flatMap(line => line.split(" "))
.map(word => (word, 1))
.reduceByKey(_ + _)
wordCounts.saveAsTextFile("hdfs://output")
}
}