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This hands-on training program equips system administrators, DevOps engineers, and data platform operators with the comprehensive knowledge and real-world skills required to deploy, manage, and support Apache Hadoop clusters using the Hortonworks Data Platform (HDP).

This hands-on developer-focused training provides comprehensive coverage of the Hadoop and Apache Spark ecosystems, enabling participants to build and optimize Big Data applications using Scala or Python.

This intensive 3-day training provides a practical and comprehensive introduction to programming with Scala, a powerful, expressive, and type-safe language that runs on the Java Virtual Machine (JVM).

This comprehensive 4-day training equips participants with the skills needed to develop, deploy, and manage real-time data streaming applications using Apache Kafka.

This hands-on training introduces developers and data engineers to Apache Beam, a unified programming model for building portable and scalable data processing pipelines, with deployment on Google Cloud Dataflow.

This 5-day instructor-led training provides end-to-end coverage of Apache Airflow, the open-source platform for authoring, scheduling, and monitoring complex data workflows, with a practical focus on multi-cloud deployment using AWS, Azure, and Google Cloud Platform (GCP).

This hands-on training introduces participants to Apache Flink, a powerful open-source stream processing framework for real-time data processing and analytics.

This intensive 3-day hands-on training is designed for professionals seeking to master Apache NiFi in Azure environments, with a special focus on deployment in Azure Kubernetes Service (AKS) and advanced integrations.

This 3-day hands-on training equips participants with the skills to deploy, configure, and manage Apache NiFi on AWS for enterprise-grade data integration and management.