Scaling Big Data with Hadoop and Solr
Master enterprise-level data management with this comprehensive Hadoop Solr big data course. Learn how to efficiently scale, search, and analyze massive datasets using the power of Hadoop’s distributed computing and Solr’s advanced search capabilities. Perfect for data engineers, architects, and analysts, this course delivers hands-on experience with two of the most essential technologies in modern big data ecosystems.
What You’ll Learn
- Introduction to Hadoop and the Hadoop Distributed File System (HDFS)
- Working with MapReduce and YARN for data processing
- Storing and retrieving large datasets using HDFS
- Understanding Apache Solr architecture and indexing
- Building powerful full-text search and analytics queries with Solr
- Integrating Solr with Hadoop for scalable search solutions
- Managing big data workflows and optimizing performance
- Deploying and scaling Hadoop and Solr clusters
Requirements
- Basic understanding of data processing and databases
- Familiarity with Java or Python is helpful
- Interest in big data systems and search technologies
Course Description
This Hadoop Solr big data course teaches you how to build scalable big data solutions that combine Hadoop’s distributed storage and processing with Solr’s lightning-fast search capabilities. You’ll begin by exploring the Hadoop ecosystem, including HDFS, YARN, and MapReduce. Then, you’ll dive deep into Apache Solr to learn about its schema, indexing, and querying systems.
As you progress, you’ll discover how to integrate Solr with Hadoop to build powerful, searchable big data applications. With a strong focus on hands-on labs and real-world projects, you’ll learn to manage data pipelines, optimize system performance, and deploy enterprise-ready applications to cloud environments.
By the end of this course, you will be equipped to design and implement robust, scalable solutions for processing and querying big data at scale.
About the Instructor
Created by industry professionals with deep experience in data architecture, distributed systems, and open-source technologies, this course is packed with actionable insights and production-ready techniques.
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- Data Engineering with Hadoop
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- Distributed Computing Fundamentals
- Big Data Pipelines and Workflow Management
- Cloud Deployment of Hadoop & Solr
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