Complete ElasticSearch with LogStash, Hive, Pig, MR & Kibana

🌟 Complete ElasticSearch Mastery with Hands-On Practicals 🌟

🚀 Course Headline: ELK Stack (ElasticSearch - LogStash - Kibana) including hands-on practicals with Apache Hadoop, Hive, PIG & MapReduce

📘 Course Description:

Get ready to dive deep into the world of Elasticsearch and its powerful combination with the ELK Stack!

Whether you're a beginner or an advanced level professional, this comprehensive course is designed to equip you with the skills to build real-world big data applications using Elasticsearch alongside Apache Hadoop. 📊💻

What You Will Learn:

Section 1 – Ingestion Flows (Hadoop to ElasticSearch) 🚀 Data ingestion is a crucial aspect of any data pipeline. Here, you'll learn to move data from various Hadoop applications (Hive, Pig, MapReduce) and LogStash into an Elasticsearch index, preparing your data for business analytics. Key topics include:

• Installing and using Apache Hive
• Loading data from Hive into ElasticSearch
• Writing a Java MapReduce program to load data into ElasticSearch
• Using LogStash to ingest data into ElasticSearch 🔄

Section 2 – Egression Flows (ElasticSearch to Hadoop) 🚀 In this section, you'll explore the reverse flow of data, loading indexed data from an Elasticsearch cluster back into a Hadoop cluster. You'll learn to import this data into Hive, Pig, MapReduce, or LogStash for further analysis. Key topics include:

• Importing an ElasticSearch index directly into Apache Hive
• Loading ElasticSearch indexed data into Hadoop using Apache PIG scripts
• Leveraging a Java MapReduce program to import ElasticSearch data
• Using LogStash to transfer ElasticSearch data back into Hadoop 🔃

Section 3 – Data Visualization (Business Intelligence) 📈 With the power of Kibana, you'll learn how to create dynamic dashboards and visualize indexed data from an Elasticsearch cluster. This is an essential skill for any Data Analyst or Data Scientist aiming to gain insights from their data.

Section 4 – Production Cluster Monitor tool (Administration) 🛠️ Maintaining an application in production requires a solid understanding of its health and performance. In this section, you'll learn how to monitor your Elasticsearch cluster using Marvel plugins, covering cluster health, statistics analysis, and more.

Section 5 - Searching an ElasticSearch Index 🔎 Elasticsearch's search capabilities are second to none. You'll explore how to perform real-time searches within an Elasticsearch index and understand the inner workings of a search engine in a single or multiple node cluster.

Why This Course?

• Comprehensive Coverage: This course covers a wide array of topics, ensuring you have a deep understanding of Elasticsearch and its role in the data ecosystem.
• Hands-On Learning: You'll get step-by-step instructions for setting up all required tools and components on your machine, along with working code examples.
• Virtual Machine Setup: Windows users will be guided through setting up a single-node Hadoop cluster within a virtual machine.
• Real-World Application: This course is designed to give you practical skills that can be applied to real-world big data applications and challenges.

Join us on this journey to master Elasticsearch with the ELK Stack and Apache Hadoop! 🚀

🎉 Enroll now to transform your data into actionable insights! 📊✨