FREE Course: Introduction to Prompt Engineering using ChatGPT FREE ENROLLMENT
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AWS Developer Training
Duration: 4 Days Code: BDT 515 Category:This 4-day AWS Developer training is designed to provide developers with a hands-on, comprehensive understanding of how to build, deploy, and manage applications on AWS.
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AWS Cloud Practitioner Training
Duration: 3 Days Code: BDT 514 Category:This 3-day AWS Cloud Practitioner training provides a comprehensive introduction to cloud computing concepts and the AWS ecosystem.
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Mastering Apache Iceberg for Modern Data Lakes
Duration: 3 Days Code: BDT 513 Category:This comprehensive 3-day training focuses on Apache Iceberg, a high-performance table format for huge analytic datasets, designed to overcome the limitations of traditional data lakes.
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Apache NiFi with AWS Administration
Duration: 3 Days Code: BDT 512 Category: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.
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Mastering Apache NiFi with Azure & AKS
Duration: 3 Days Code: BDT 511 Category: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.
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Apache Flink – Real-Time Stream Processing and Data Pipelines
Duration: 2 Days Code: BDT 510 Category:This hands-on training introduces participants to Apache Flink, a powerful open-source stream processing framework for real-time data processing and analytics.
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Apache Airflow with Multi-Cloud Deployment & DevOps Integration
Duration: 5 Days Code: BDT 509 Category: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).
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Apache Beam with Google Dataflow
Duration: 3 Days Code: BDT 508 Category: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.
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Hadoop & Spark Developer Training with Scala and Python
Duration: 5 Days Code: BDT505 Category:This hands-on developer-focused training provides comprehensive coverage of the Hadoop and Apache Spark ecosystems, enabling participants to build and optimize
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Administering Apache Hadoop with Hortonworks HDP
Duration: 5 Days Code: BDT 504 Category: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).
