Big Data Training Courses courses in United States

Introduction to Advanced Superset Architecture• Overview of Apache Superset ecosystem• Advanced UI navigation and workspace setup• Dataset creation and SQL Lab usage• Connecting multiple data sourcesAdvanced Visualization and Dashboard Design• Creating interac...

• Data Analysts and BI Developers
• Data Engineers and Analytics Engineers
• Business Intelligence Professionals
• Dashboard Developers and Reporting Specialists
• IT Professionals working on analytics platforms

Participants will receive course materials, slides, reference materials, exercises and access to resources for further learning.

Certification: Participants who successfully complete the training will receive an AcadNXT Certification in Advanced Apache Superset Training, validating their expertise in business intelligence, dashboard development, SQL analytics, data visualization, and enterprise BI management using Apache Superset.

Prerequisites: • Basic understanding of SQL and relational databases• Familiarity with data visualization concepts• Basic knowledge of BI tools is helpful• Understanding of data analytics workflows

Introduction to Apache ActiveMQ and Messaging Concepts• Overview of messaging systems and JMS• ActiveMQ architecture and components• Installing and configuring ActiveMQ broker• Understanding queues, topics, producers, and consumersJMS Messaging Implementation•...

• Java Developers and Backend Engineers
• Integration and Middleware Developers
• System Architects and Solution Designers
• DevOps Engineers working on messaging systems
• IT Professionals involved in enterprise application integration

Participants will receive course materials, slides, reference materials, exercises and access to resources for further learning.

Certification: Participants who successfully complete the training will receive an AcadNXT Certification in Apache ActiveMQ Training, validating their expertise in enterprise messaging, JMS architecture, asynchronous communication, and message-driven system design.

Prerequisites: • Basic knowledge of Java programming• Understanding of distributed systems and application architecture• Familiarity with messaging or integration concepts is helpful• Basic command-line and Linux knowledge

Introduction to Apache Camel and Integration Basics• Overview of Apache Camel architecture• Understanding Enterprise Integration Patterns (EIP)• Camel context, routes, and components• Setting up Camel development environmentBuilding Basic Routes and Message Fl...

• Java Developers and Backend Engineers
• Integration Developers and Solution Architects
• Middleware and ESB Developers
• DevOps Engineers working on integration pipelines
• IT Professionals involved in system integration

Participants will receive course materials, slides, reference materials, exercises and access to resources for further learning.

Certification: Participants who successfully complete the training will receive an AcadNXT Certification in Apache Camel Training, validating their expertise in enterprise integration, routing architecture, message transformation, and system connectivity using Apache Camel.

Prerequisites: • Basic knowledge of Java programming• Understanding of APIs and web services (REST/SOAP)• Familiarity with messaging systems is helpful• Basic understanding of enterprise application concepts

Introduction to Apache Cassandra Architecture• Overview of NoSQL and Cassandra use cases• Cassandra architecture and ring structure• Nodes, clusters, and data distribution model• Installation and cluster setup basicsData Modeling and CQL Fundamentals• Understa...

• Apache Cassandra architecture and distributed design
• NoSQL data modeling techniques for wide-column stores
• Cluster setup and node management
• Partitioning and replication strategies
• CQL (Cassandra Query Language) proficiency
• Performance tuning and optimization techniques
• High availability and fault tolerance implementation

Participants will receive course materials, slides, reference materials, exercises and access to resources for further learning.

Certification: Participants who successfully complete the training will receive an AcadNXT Certification in Apache Cassandra Training, validating their expertise in NoSQL database design, distributed data management, cluster administration, and high-performance data architecture using Apache Cassandra.

Prerequisites: • Basic understanding of databases and SQL concepts• Familiarity with distributed systems concepts• Basic knowledge of Linux/Unix command line• Understanding of data modeling fundamentals is helpful

Introduction to Apache Flink and Streaming Concepts• Overview of Flink architecture and ecosystem• Data stream vs batch processing• Job managers, task managers, and execution model• Setting up Flink environmentCore Stream Processing in Flink• DataStream API fu...

• Data Engineers and Big Data Developers
• Software Engineers working on real-time systems
• Backend and Distributed Systems Developers
• Cloud and DevOps Engineers
• Professionals working in analytics and streaming platforms

Participants will receive course materials, slides, reference materials, exercises and access to resources for further learning.

Certification: Participants who successfully complete the training will receive an AcadNXT Certification in Apache Flink Training, validating their expertise in real-time stream processing, Flink architecture, stateful streaming, and distributed data pipeline development.

Prerequisites: • Basic understanding of programming concepts (Java or Python preferred)• Familiarity with distributed systems and data processing fundamentals• Basic knowledge of streaming or big data concepts is helpful• Understanding of databases and data pipelines is beneficial

Introduction to Apache Iceberg and Lakehouse Architecture• Overview of data lakes vs lakehouse architecture• Apache Iceberg fundamentals and components• Table format structure and metadata layers• Setting up Iceberg environment with Spark/HadoopIceberg Table D...

• Data Engineers and Analytics Engineers
• Big Data Developers and Architects
• Data Platform and Lakehouse Engineers
• BI Professionals working with large datasets
• IT Professionals transitioning into modern data lake architectures

Participants will receive course materials, slides, reference materials, exercises and access to resources for further learning.

Certification: Participants who successfully complete the training will receive an AcadNXT Certification in Apache Iceberg Training, validating their expertise in lakehouse architecture, open table formats, data versioning, and scalable big data processing using Apache Iceberg.

Prerequisites: • Basic understanding of SQL and data warehousing concepts• Familiarity with Apache Spark or Hadoop ecosystem basics is helpful• Understanding of data processing and ETL concepts• Basic knowledge of distributed systems

Introduction to Semantic Web and Apache Jena• Overview of semantic web and linked data concepts• Apache Jena architecture and components• RDF data model and triple structure• Setting up Jena development environmentRDF Modeling and SPARQL Basics• Creating RDF g...

• Java Developers and Backend Engineers
• Data Engineers and Knowledge Graph Developers
• AI and NLP Engineers working with semantic data
• Research professionals in ontology and linked data
• IT Professionals exploring semantic web technologies

Participants will receive course materials, slides, reference materials, exercises and access to resources for further learning.

Certification: Participants who successfully complete the training will receive an AcadNXT Certification in Apache Jena Training, validating their expertise in semantic web technologies, RDF modeling, SPARQL querying, ontology design, and knowledge graph development using Apache Jena.

Prerequisites: • Basic understanding of Java programming• Familiarity with databases and data modeling concepts• Basic knowledge of XML/JSON is helpful• Interest in semantic web and knowledge representation

Introduction to Kafka and Spring Boot Integration• Overview of event-driven architecture• Kafka ecosystem and core components• Spring Boot fundamentals for integration• Setting up Kafka with Spring Boot projectKafka Producers and Consumers in Spring Boot• Buil...

• Java Developers and Backend Engineers
• Microservices Developers and Architects
• Big Data and Streaming Developers
• DevOps Engineers working with event-driven systems
• IT Professionals building scalable enterprise applications

Participants will receive course materials, slides, reference materials, exercises and access to resources for further learning.

Certification: Participants who successfully complete the training will receive an AcadNXT Certification in Apache Kafka and Spring Boot Training, validating their expertise in event-driven architecture, microservices integration, Kafka messaging, and scalable backend system design.

Prerequisites: • Strong understanding of Java programming• Basic knowledge of Spring Boot framework• Familiarity with REST APIs and microservices concepts• Basic understanding of distributed systems

Introduction to Kafka Architecture and Setup• Overview of Kafka ecosystem and components• Kafka brokers, topics, partitions, and replication• Installation and cluster setup basics• Producer and consumer workflow overviewKafka Cluster Administration Basics• Cre...

• Kafka Administrators and System Administrators
• Big Data Engineers and Platform Engineers
• DevOps and Cloud Engineers
• Data Engineers working on streaming systems
• IT Professionals managing real-time data platforms

Participants will receive course materials, slides, reference materials, exercises and access to resources for further learning.

Certification: Participants who successfully complete the training will receive an AcadNXT Certification in Apache Kafka for Administrators Training, validating their expertise in Kafka cluster administration, real-time streaming management, fault tolerance, and performance optimization.

Prerequisites: • Basic understanding of Linux/Unix operating system• Familiarity with distributed systems concepts• Basic knowledge of networking and messaging systems• Understanding of command-line tools

Introduction to Apache Kafka Architecture• Overview of Kafka ecosystem components• Kafka brokers, topics, partitions, and offsets• Producer and consumer concepts• Kafka installation and setup basicsKafka Messaging and Data Flow• Creating topics and sending mes...

• Data Engineers and Software Developers
• Backend Developers and System Architects
• DevOps and Cloud Engineers
• Big Data Professionals
• IT Professionals working on real-time systems

Participants will receive course materials, slides, reference materials, exercises and access to resources for further learning.

Certification: Participants who successfully complete the training will receive an AcadNXT Certification in Apache Kafka Training, validating their expertise in distributed streaming, real-time data processing, Kafka architecture, and event-driven system development.

Prerequisites: • Basic understanding of programming concepts (Java or Python preferred)• Familiarity with data structures and networking basics• Understanding of distributed systems is helpful but not mandatory• Basic knowledge of databases and messaging systems

Introduction to OSGi and Apache Karaf Architecture• Overview of modular programming and OSGi framework• OSGi bundles, services, and lifecycle management• Apache Karaf architecture and runtime environment• Installing and configuring Karaf containerWorking with...

• Java Developers and Software Engineers
• Backend and Enterprise Application Developers
• System Architects and Solution Designers
• Middleware and Integration Engineers
• IT Professionals working on modular application frameworks

Participants will receive course materials, slides, reference materials, exercises and access to resources for further learning.

Certification: Participants who successfully complete the training will receive an AcadNXT Certification in Apache Karaf OSGi Application Training, validating their expertise in modular application development, OSGi framework, service-oriented architecture, and enterprise deployment using Apache Karaf.

Prerequisites: • Strong understanding of Core Java programming• Basic knowledge of OOP concepts and design patterns• Familiarity with Maven or build tools is helpful• Understanding of application deployment concepts

Introduction to Apache Kylin and OLAP Concepts• Overview of OLAP and big data analytics• Apache Kylin architecture and components• Cube fundamentals and star schema concepts• Setting up Kylin environmentData Modeling and Cube Design• Dimensional modeling for O...

• Data Engineers and BI Developers
• Data Warehouse Professionals
• Big Data Analysts and Architects
• Hadoop Developers and Administrators
• IT Professionals working on analytics platforms

Participants will receive course materials, slides, reference materials, exercises and access to resources for further learning.

Certification: Participants who successfully complete the training will receive an AcadNXT Certification in Apache Kylin Training, validating their expertise in OLAP cube design, big data analytics, query optimization, and enterprise BI acceleration using Apache Kylin.

Prerequisites: • Basic understanding of SQL and relational databases• Familiarity with Hadoop ecosystem concepts (Hive, HDFS basics)• Basic knowledge of data warehousing concepts• Analytical thinking and data interpretation skills