Udemy
    •  
    •  
    •  
    •  
    •  
    •  
    •  
    •  
Turn what you know into an opportunity and reach millions around the world.
Learn More
Your cart is empty.
Keep shopping
Real-Time Data Ingestion in Elasticsearch through kafka
Rating: 2.8 out of 5(16 ratings)
140 students

Real-Time Data Ingestion in Elasticsearch through kafka

Real-Time Data Ingestion in Elasticsearch through kafka,logstash,apache monitor and kibana
Created byVijay Garg
Last updated 5/2018
English
English [Auto],

What you'll learn

  • Students would be able to learn real time data ingestion in elasticsearch through very popular tools ES,Kafka,Logstash,Kibana and Apache Monitor. It's a very powerful approach to process any kind of data like log files etc and ingest into ES and then we can easily search on Kibana. Students can also learn all the tools individually (setup,configuration etc) like kafka,es,kibana and then we will integrate all these tools to create single data pipeline.

Course content

1 section • 7 lectures • 1h 15m total length

  • Introduction4:42

    Understand the overview of course.

  • Overview of ElasticSearch and Installation11:38

    Understand how to install and configure elasticsearch on your local machine.

  • Overview of Kibana and Installation9:46

    Understand how to install and configure Kibana on your local machine

  • Kafka Overview and Installation19:09

    Understand how to install,configure and start Zookeepar,Kafka producer and consumer. Also learn what is topic and how create topic and all.

  • Implementation and Integration of all the components17:51

    Understand the actual implementation and how we can integrate all the components all together in terms of creating single data pipeline.

  • Understand the actual execution9:48

    See the actual execution. We just need to put input file in source directory and data will automatically get ingested into Elasticsearch through Kafka, Logstash.  And we can search/visualize data on Kibana. 

  • Conclusion2:48

    Conclusion.

Requirements

  • It's a very good tutorial and we can learn how we can ingest data on real time basis in Elasticsearch with the help of Apache Monitor,Kafka,Logstash,Elasticsearch and Kibana. We will create a single data pipeline which will ingest data into ES and then we can search/visualize data on Kibana.

Description

The Elastic stack and Apache Kafka share a tight-knit relationship in the log/event processing realm. A number of companies use Kafka as a transport layer for storing and processing large volumes of data. In many deployments we've seen in the field, Kafka plays an important role of staging data before making its way into Elasticsearch for fast search and analytical capabilities. I'd like to shine more light on how to set up and manage Kafka when integrating with the Elastic Stack. Specifically, we'll discuss our experiences operating Kafka and Logstash under high volume.

We will create a single data pipeline to process huge data with the help of kafka,logstash,apache monitor and kibana. Once we implement this we just need to put input files into source folder/directory and data will automatically get ingested into Elasticsearch and we can search/visualize data on ES web interface that is called Kibana.

Who this course is for:

  • Any one including students, professional who wants to learn real time data ingestion in elasticsearch. It's a very powerful approach to process any kind of data like log files etc and ingest into ES and then we can easily search on Kibana

Report abuse