🔑Kafka topics are like tables in a database, and each topic can be split into partitions.
🏷️Partitions within a topic have a unique offset that represents the position of a message within the partition.
🔄The order of messages is guaranteed within a partition but not across partitions.
⏰Topics have a limited retention time for data, and once written, messages are immutable.
❓You can have multiple consumers for a topic to process and analyze the streaming data.
What are Kafka topics?
—Kafka topics serve as a stream of data and can be compared to tables in a database.
What are partitions in Kafka topics?
—Partitions divide a Kafka topic into smaller segments and allow for parallel processing and scalability.
What is an offset in Kafka?
—An offset represents the position of a message within a partition and is unique for each message.
Is the order of messages guaranteed across partitions?
—No, the order of messages is only guaranteed within a partition.
Can Kafka topics be modified?
—Once written, messages in Kafka topics are immutable and cannot be modified.
00:04Kafka topics serve as a stream of data and are similar to tables in a database. Each topic can be split into partitions.
00:19Partitions within a topic have a unique offset that represents the position of a message within the partition. The order of messages is guaranteed within a partition but not across partitions.
00:38Topics have a limited retention time for data, and once written, messages are immutable. Multiple consumers can process and analyze the streaming data from a topic.
02:11The offset represents the position of a message within a partition and is unique for each message. The order of messages is only guaranteed within a partition.
02:45Once written, messages in Kafka topics are immutable and cannot be modified.
05:11Kafka topics can have multiple consumers to process and analyze the streaming data.
