What are the best blogs on hadoop?

several blogs provided valuable insights and updates on Hadoop and the broader big data ecosystem. Keep in mind that the popularity and relevance of blogs can change over time, so it's a good idea to verify the current status. Here are some blogs that were well-regarded for Hadoop-related content:

1. Cloudera Blog:

   • URL: Cloudera Blog
   • Cloudera is a prominent player in the Hadoop and big data space. Their blog covers a wide range of topics related to Hadoop, Spark, machine learning, and other related technologies.

2. Hortonworks Blog (Now Cloudera):

   • URL: Hortonworks Blog
   • Note: Cloudera acquired Hortonworks, and their blogs have been merged. The combined blog provides insights into Hadoop, big data, and associated technologies.

3. MapR Blog (Acquired by HPE):

   • URL: MapR Blog
   • MapR was known for its contributions to the Hadoop ecosystem. After being acquired by HPE, their blog continues to cover big data, analytics, and storage-related topics.

4. The Databricks Blog:

   • URL: Databricks Blog
   • Databricks is the company behind Apache Spark, a popular big data processing framework. The blog covers Spark-related topics, as well as broader aspects of big data and machine learning.

5. Confluent Blog (for Apache Kafka):

   • URL: Confluent Blog
   • While Confluent primarily focuses on Apache Kafka, a distributed streaming platform, their blog often discusses Kafka's integration with Hadoop and other big data technologies.

6. Big Data Made Simple:

   • URL: Big Data Made Simple
   • This blog covers a variety of big data topics, including Hadoop, Spark, and other related technologies. It provides tutorials, case studies, and industry insights.

7. DataFlair Blog:

   • URL: DataFlair Blog
   • DataFlair offers tutorials and articles on various big data technologies, including Hadoop. The blog covers a range of topics suitable for beginners and advanced users.

Remember to check the latest posts on these blogs and explore additional sources based on your specific interests and the latest developments in the Hadoop ecosystem. Additionally, consider following relevant forums and communities for discussions and updates.