Big Data Training Courses

Introduction to Apache Maven and Build Lifecycle• Overview of build automation tools• Maven architecture and components• Maven installation and setup• Understanding Maven project structurePOM Configuration and Dependency Management• Introduction to POM (Projec...

• Java Developers and Software Engineers
• DevOps Engineers and Build Engineers
• QA Automation Engineers
• Backend Developers working in enterprise environments
• IT Professionals involved in CI/CD pipelines

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 Maven Training, validating their expertise in build automation, dependency management, project lifecycle configuration, and enterprise Java build practices using Maven.

Prerequisites: • Basic knowledge of Java programming• Understanding of software development lifecycle concepts• Familiarity with IDEs like Eclipse or IntelliJ IDEA• Basic understanding of build tools is helpful but not mandatory

Introduction to Apache NiFi & Flow-Based Programming • What is Apache NiFi and where it is used • Flow-based programming concepts • NiFi architecture and components • NiFi user interface and navigationInstalling & Configuring NiFi • NiFi installation options •...

 • Data engineers and integration engineers
 • Big data and analytics professionals
 • ETL and data pipeline developers
 • Platform and infrastructure engineers
 • Professionals working with streaming and data integration tools

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

Certification: Upon successful completion of the training, participants will receive an AcadNXT Certificate of Completion for Apache NiFi Essentials. This digital, verifiable certification validates practical Apache NiFi data integration, flow-based programming, and automated data pipeline skills and can be shared on LinkedIn and included in professional profiles to enhance data engineering and integration career credibility.

Prerequisites:  • Basic understanding of data concepts and databases • Familiarity with Linux or system administration is helpful • Interest in data integration and data engineering

Introduction to Spark Cloud Architecture• Overview of Spark in cloud environments• Cloud-native big data architecture concepts• Spark deployment models in cloud• Setting up Spark clusters on cloud platformsCloud Storage and Data Integration• Integration with c...

• Data Engineers and Big Data Developers
• Cloud Engineers and DevOps Professionals
• Analytics Engineers and Data Scientists
• IT Professionals working on cloud data platforms
• Software Engineers building distributed 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 Spark Cloud Training, validating their expertise in cloud-based Spark deployment, distributed data processing, real-time analytics, and big data architecture on cloud platforms.

Prerequisites: • Basic understanding of Apache Spark concepts• Familiarity with cloud platforms (AWS, Azure, or GCP basics)• Knowledge of distributed systems and big data fundamentals• Basic command-line and Linux skills

Introduction to Apache Spark Architecture• Overview of Spark ecosystem and components• Driver, executor, and cluster manager roles• Spark execution model and job lifecycle• Installation and setup of Spark environmentSpark Cluster Administration Basics• Cluster...

• Big Data Administrators and System Administrators
• Data Platform Engineers
• DevOps and Cloud Engineers
• Data Engineers managing Spark environments
• IT Professionals working on distributed data 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 Spark for Administrators Training, validating their expertise in Spark cluster administration, job monitoring, performance tuning, and distributed data processing management.

Prerequisites: • Basic understanding of Linux/Unix operating system• Familiarity with distributed systems and big data concepts• Basic knowledge of Apache Hadoop ecosystem is helpful• Understanding of command-line operations

Introduction to Apache Spark & Distributed Computing • What is Apache Spark and where it is used • Spark architecture and components • Cluster managers and deployment modes • Spark application lifecycleRDD Fundamentals • Understanding Resilient Distributed Dat...

 • Data engineers and analytics engineers
 • Big data developers
 • Data analysts working with large datasets
 • Data scientists and machine learning practitioners
 • Professionals adopting Apache Spark

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

Certification: Upon successful completion of the training, participants will receive an AcadNXT Certificate of Completion for Apache Spark Fundamentals. This digital, verifiable certification validates practical Apache Spark data processing, distributed analytics, and big data engineering skills and can be shared on LinkedIn and included in professional profiles to enhance big data and data engineering career credibility.

Prerequisites:  • Basic understanding of data concepts and databases • Familiarity with SQL, Python, or Scala is helpful • Interest in big data and distributed computing

Introduction to Apache Web Server• Overview of web server architecture• Installing Apache HTTP Server on Linux• Apache directory structure and configuration files• Starting, stopping, and managing servicesBasic Configuration and Virtual Hosting• Configuring ht...

• System Administrators and Linux Administrators
• DevOps Engineers and Cloud Engineers
• Web Hosting Administrators
• IT Support and Infrastructure Engineers
• Professionals managing web applications and servers

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 Web Server Training, validating their expertise in web server administration, configuration, security hardening, and performance optimization using Apache HTTP Server.

Prerequisites: • Basic understanding of Linux/Unix operating system• Familiarity with networking fundamentals (DNS, HTTP/HTTPS)• Basic command-line usage knowledge• General understanding of web applications is helpful

Introduction to Apache ZooKeeper Architecture• Overview of distributed coordination systems• ZooKeeper architecture and components• Ensemble setup and configuration basics• Znodes and hierarchical data structureCore ZooKeeper Operations• Creating, updating, an...

• Apache ZooKeeper architecture and ensemble setup
• Configuration and management of ZooKeeper clusters
• Distributed coordination and synchronization concepts
• Leader election and failover mechanisms
• Node (znode) management and data hierarchy
• Integration with Kafka, Hadoop, and Spark ecosystems
• Monitoring and troubleshooting ZooKeeper services

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 ZooKeeper Training, validating their expertise in distributed coordination, cluster management, synchronization mechanisms, and big data ecosystem integration using ZooKeeper.

Prerequisites: • Basic understanding of Linux/Unix operating system• Familiarity with distributed systems concepts• Basic knowledge of big data ecosystems is helpful• Command-line usage skills

Introduction to Big Data Ecosystem• What is Big Data and its characteristics (5Vs)• Big data architecture overview• Distributed systems fundamentals• Data lifecycle in big data environmentsHadoop Ecosystem Overview• Introduction to Hadoop components• HDFS, YAR...

• Beginners in Big Data and Data Engineering
• Data Analysts and Business Analysts
• IT Professionals transitioning into data domain
• Software Developers exploring big data technologies
• Students and freshers in data and analytics fields

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 Big Data Essentials Training, validating their foundational knowledge of big data concepts, distributed systems, Hadoop ecosystem, and modern data processing frameworks.

Prerequisites: • Basic understanding of data concepts and databases• Familiarity with computers and logical reasoning• Basic awareness of programming concepts is helpful but not mandatory• Interest in data analytics and big data technologies

Introduction to Confluent Cloud and Apache Flink• Overview of event streaming and Kafka ecosystem• Confluent Cloud architecture and services• Apache Flink core concepts and execution model• Setting up Flink environments in Confluent CloudKafka Integration and...

• Data Engineers and Streaming Engineers
• Big Data Developers and Analytics Engineers
• Cloud Data Platform Engineers
• Kafka and Event Streaming Professionals
• Software Engineers working on real-time data 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 Confluent Cloud for Apache Flink Training, validating their expertise in stream processing, Flink SQL, Kafka integration, and cloud-based real-time analytics using Confluent Cloud.

Prerequisites: • Basic understanding of Apache Kafka concepts• Familiarity with SQL and data processing fundamentals• Basic knowledge of distributed systems and streaming concepts• Understanding of cloud platforms is helpful

Introduction to Data Architecture Principles• What is data architecture and its importance• Enterprise data architecture components• Data lifecycle and data flow concepts• Overview of modern data ecosystemsData Modeling and Structure Design• Conceptual, logica...

• Data Architects and Data Engineers
• Solution Architects and IT Architects
• Business Intelligence Professionals
• Software Developers working with data systems
• IT Professionals transitioning into data architecture roles

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 Data Architecture Fundamentals Training, validating their expertise in enterprise data design, data modeling, integration architecture, and modern data platform fundamentals.

Prerequisites: • Basic understanding of databases and data concepts• Familiarity with IT systems and software applications• Basic knowledge of SQL is helpful but not mandatory• Analytical thinking and structured problem-solving skills

Introduction to Data Vault Architecture• Evolution of data warehousing approaches• Data Vault 2.0 principles and advantages• Core components: Hubs, Links, Satellites• Business keys and relationshipsData Vault Modeling Fundamentals• Hub table design and impleme...

• Data Architects and Data Engineers
• Data Warehouse Developers
• Business Intelligence Professionals
• Database Administrators
• Analytics and Reporting Professionals

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 Data Vault Essentials Training, validating their expertise in Data Vault modeling, enterprise data warehouse architecture, ETL/ELT design, and scalable data integration methodologies.

Prerequisites: • Basic understanding of databases and SQL concepts• Familiarity with data warehousing fundamentals• Basic knowledge of data modeling concepts is helpful• Analytical thinking and structured problem-solving skills

Introduction to Government Data Ecosystem• Overview of public sector data systems• Data lifecycle in government organizations• Introduction to big data and BI for governance• Key challenges in government analyticsData Governance and Management Frameworks• Data...

• Government Data Analysts and BI Professionals
• Public Sector IT and Digital Transformation Teams
• Policy Analysts and Planning Officers
• Data Engineers working in government projects
• Consultants working with public sector analytics

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 Government BI & Big Data Analytics Training, validating their expertise in government data analytics, business intelligence systems, big data governance, and public sector decision intelligence.

Prerequisites: • Basic understanding of data and reporting concepts• Familiarity with spreadsheets or BI tools is helpful• Basic knowledge of databases is an advantage• Analytical thinking and problem-solving mindset