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14 Top Data Pipeline Key Terms Explained

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 Here are some key terms commonly used in data pipelines 1. Data Sources Definition: Points where data originates (e.g., databases, APIs, files, IoT devices). Examples: Relational databases (PostgreSQL, MySQL), APIs, cloud storage (S3), streaming data (Kafka), and on-premise systems. 2. Data Ingestion Definition: The process of importing or collecting raw data from various sources into a system for processing or storage. Methods: Batch ingestion, real-time/streaming ingestion. 3. Data Transformation Definition: Modifying, cleaning, or enriching data to make it usable for analysis or storage. Examples: Data cleaning (removing duplicates, fixing missing values). Data enrichment (joining with other data sources). ETL (Extract, Transform, Load). ELT (Extract, Load, Transform). 4. Data Storage Definition: Locations where data is stored after ingestion and transformation. Types: Data Lakes: Store raw, unstructured, or semi-structured data (e.g., S3, Azure Data Lake). Data Warehous...
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How to Check Kafka Available Brokers

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Brokers


Here's the command to check the list of brokers present in a Kafka Cluster. You can say the Broker is the heart of the Kafka cluster. In simple terms, it works as a process.

The main function is to receive messages from publishers and gives permission to access messages by consumers.

How to Check Available Brokers in Kafka

Here is the command:

linux$ ./zookeeper-shell.sh zookeeper-IPaddress:2181 | "ls /brokers/ids"

Just use the above command to get the number of brokers present in your host (Kafka Cluster).

What is Default Broker-id in Kafka 

The default broker id is -1. When you create a new broker, it adds to -1. Then, it gives a new broker id. The broker ids will be generated from reserved.broker.max.id + 1.


Types of broker ids.

  1. Use assigned
  2. Zookeeper generated broker id.


According to Wiki:

Kafka runs on a cluster of one or more servers (called brokers), and the partitions of all topics are distributed across the cluster nodes. 


Overview of Kafka

Additionally, partitions are replicated to multiple brokers. This architecture allows Kafka to deliver massive streams of messages in a fault-tolerant fashion and has allowed it to replace some of the conventional messaging systems like Java Message Service (JMS), Advanced Message Queuing Protocol (AMQP), etc. Since the 0.11.0.0 release, Kafka offers transactional writes, which provide an exactly-once stream.


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