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Learn real-time stream processing with Kafka Streams, from installation to application development and testing. Covers multi-node clusters, Windows setup, and IntelliJ IDEA configuration.
Comprehensive tutorials on Apache Kafka, covering core concepts, installation, APIs, configurations, and advanced topics for building real-time data streaming applications.
Simplified approach to Hadoop ecosystem: architecture, HDFS, MapReduce, YARN, security, and practical examples. Includes Google Cloud integration for hands-on experience.
Learn essential Linux concepts and skills for IT professionals, including installation, remote access, file systems, and command-line basics.
Comprehensive Scala programming tutorial for Spark developers and functional programmers, covering basics, concepts, and examples to prepare for Apache Spark development.
Explore Google Cloud Platform essentials for Big Data Engineering, including free VM setup, VNC to Linux VM, and Hadoop/Spark cluster deployment with DataProc.
Learn Apache Spark's distributed computing capabilities, architecture, and programming with Scala. Explore DataFrames, SQL, data sources, and advanced features like Delta Lake for efficient big data processing.
Learn essential web development concepts including websites, webpages, hosting, client-server model, and DNS. Create your first website and explore Azure Cloud for students.
Learn Apache Kafka Streams with Spring Cloud for real-time data processing. Covers setup, message production, stream processing, serialization, aggregation, windowing, joins, and testing.
Comprehensive AWS Cloud Practitioner certification prep covering core services, security, networking, databases, and best practices for cloud computing.
Advanced Apache Spark 3 skills for certification, job interviews, and complex scenarios. Covers architecture, memory management, optimization techniques, and performance tuning. Open to learner requests for additional topics.
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