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Presented By: Shivam Roy &
Harsh Vardhan
Introduction to Kafka Connect
/ Connector
& Connector
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01 Kafka Connect/Connector Introduction
Agenda
02 Why Kafka Connect/Connector?
03 Kafka Connect/Connector Architecture
04 Use cases of Kafka Connect/Connector
05 Kafka Connect/Connector features
06 Installation and setup
What is Kafka Connect/Connector?
● Kafka connect/connector is a framework for
connecting kafka with external systems
including databases.
● The Kafka connect/connector is designed to
run in a Kafka Connect cluster to read data
from Kafka topics and write the data into
Snowflake tables
● The Kafka Connect/Connector cluster
supports running and scaling out connectors.
Why Kafka Connect/Connector ?
● Kafka connect/connector is a tool that provides
scalably and reliably streaming data between
Apache Kafka® and other data systems.
● With the help of kafka connector we can import
data from external systems into Kafka topics.
● Also, export data from Kafka topics into external
systems.
● There are connectors that help to move huge
data sets into and out of the Kafka system.
Kafka Connect/Connector Architecture
● Kafka Connect is a separate Cluster.
● Each worker contains one or many connector
task.
● A cluster can have multiple workers and worker
runs on the cluster only.
● Task are automatically load-balanced if there is
any failure.
● Task in Kafka Connect act as a Producer or
Consumer depending on the type of Connector.
● Kafka Connect cluster has a multiple loaded
connectors.
Use Cases of Kafka Connect/Connector?
● kafka connect/connectors is generally use
for synced operation.
● Kafka connect/connectors is designed for
connecting Kafka with other data systems.
● With the help of Kafka connect we can
Process a data from outdated application
to the new systems.
Kafka Connect/Connector Features
● A common framework for
connecting external system with
kafka
● Distributed and standalone
modes
● REST interface
● Automatic offset management
● Distributed and scalable by
default
Installation and setup
● Linux System
● Java installation
● download confluent bundle
curl -O http://packages.confluent.io/archive/7.1/confluent-7.1.1.zip
● unzip the file
unzip confluent-7.1.1.zip
● export CONFLUENT_HOME=~/confluent-7.1.1
● export PATH=$CONFLUENT_HOME/bin:$PATH
● confluent local services start
Steps for installing and setup

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Introduction to Kafka Connectors

  • 1. Presented By: Shivam Roy & Harsh Vardhan Introduction to Kafka Connect / Connector & Connector
  • 2. Lack of etiquette and manners is a huge turn off. KnolX Etiquettes Punctuality Respect Knolx session timings, you are requested not to join sessions after a 5 minutes threshold post the session start time. Feedback Make sure to submit a constructive feedback for all sessions as it is very helpful for the presenter. Silent Mode Keep your mobile devices in silent mode, feel free to move out of session in case you need to attend an urgent call. Avoid Disturbance Avoid unwanted chit chat during the session.
  • 3. 01 Kafka Connect/Connector Introduction Agenda 02 Why Kafka Connect/Connector? 03 Kafka Connect/Connector Architecture 04 Use cases of Kafka Connect/Connector 05 Kafka Connect/Connector features 06 Installation and setup
  • 4. What is Kafka Connect/Connector? ● Kafka connect/connector is a framework for connecting kafka with external systems including databases. ● The Kafka connect/connector is designed to run in a Kafka Connect cluster to read data from Kafka topics and write the data into Snowflake tables ● The Kafka Connect/Connector cluster supports running and scaling out connectors.
  • 5. Why Kafka Connect/Connector ? ● Kafka connect/connector is a tool that provides scalably and reliably streaming data between Apache Kafka® and other data systems. ● With the help of kafka connector we can import data from external systems into Kafka topics. ● Also, export data from Kafka topics into external systems. ● There are connectors that help to move huge data sets into and out of the Kafka system.
  • 6. Kafka Connect/Connector Architecture ● Kafka Connect is a separate Cluster. ● Each worker contains one or many connector task. ● A cluster can have multiple workers and worker runs on the cluster only. ● Task are automatically load-balanced if there is any failure. ● Task in Kafka Connect act as a Producer or Consumer depending on the type of Connector. ● Kafka Connect cluster has a multiple loaded connectors.
  • 7. Use Cases of Kafka Connect/Connector? ● kafka connect/connectors is generally use for synced operation. ● Kafka connect/connectors is designed for connecting Kafka with other data systems. ● With the help of Kafka connect we can Process a data from outdated application to the new systems.
  • 8. Kafka Connect/Connector Features ● A common framework for connecting external system with kafka ● Distributed and standalone modes ● REST interface ● Automatic offset management ● Distributed and scalable by default
  • 10. ● Linux System ● Java installation ● download confluent bundle curl -O http://packages.confluent.io/archive/7.1/confluent-7.1.1.zip ● unzip the file unzip confluent-7.1.1.zip ● export CONFLUENT_HOME=~/confluent-7.1.1 ● export PATH=$CONFLUENT_HOME/bin:$PATH ● confluent local services start Steps for installing and setup