构建企业级数据中台与高效解决方案

import pandas as pd

# 加载数据

data = pd.read_csv("company_data.csv")

# 检查缺失值

print(data.isnull().sum())

# 填充或删除缺失值

data.fillna(0, inplace=True) # 或者 data.dropna(inplace=True)

SELECT product_id, SUM(quantity) AS total_sold

FROM sales_data

WHERE sale_date BETWEEN '2023-01-01' AND '2023-06-30'

GROUP BY product_id;

import org.apache.kafka.clients.consumer.KafkaConsumer;

import java.util.Properties;

科研系统

public class KafkaConsumerExample {

public static void main(String[] args) {

Properties props = new Properties();

props.put("bootstrap.servers", "localhost:9092");

props.put("group.id", "test-group");

props.put("key.deserializer", "org.apache.kafka.common.serialization.StringDeserializer");

props.put("value.deserializer", "org.apache.kafka.common.serialization.StringDeserializer");

KafkaConsumer consumer = new KafkaConsumer<>(props);

consumer.subscribe(Arrays.asList("topic-name"));

while (true) {

ConsumerRecords records = consumer.poll(Duration.ofMillis(100));

for (ConsumerRecord record : records) {

System.out.printf("Received message: %s%n", record.value());

}

}

}

}