Do you have experience working with the Hadoop platform for big data processing?

Experience with Hadoop is usually related to processing large volumes of data using the distributed file system HDFS and the MapReduce computational model.

In the context of Go, you can interact with Hadoop via REST API or use third-party libraries for working with HDFS.

Example: reading a file from HDFS through the WebHDFS API using HTTP requests in Go.

package main

import (
    "fmt"
    "io/ioutil"
    "net/http"
)

func main() {
    url := "http://namenode-host:50070/webhdfs/v1/path/to/file?op=OPEN"
    resp, err := http.Get(url)
    if err != nil {
        panic(err)
    }
    defer resp.Body.Close()

    data, err := ioutil.ReadAll(resp.Body)
    if err != nil {
        panic(err)
    }

    fmt.Println(string(data))
}

Thus, experience with Hadoop includes understanding its architecture and ways to integrate with the big data ecosystem.