Kubernetes Essentials for Big Data Applications

This 4-day course equips learners with the skills to deploy, manage, and scale big data applications using Kubernetes. Featuring hands-on labs and real-world scenarios, participants will master tools like Apache Kafka, Spark, and Elasticsearch, alongside Kubernetes best practices for monitoring, security, and scalability. Designed for training companies, this courseware empowers your clients to deliver cutting-edge solutions in data-driven industries.
  • SKU:
    BDK-4D-ILT-101
$160.00
$160.00 $200.00
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Kubernetes Essentials for Big Data Applications

Short Description

Empower your clients to harness the power of Kubernetes for big data with this comprehensive, ready-to-deploy courseware. Designed for training companies and sales professionals targeting high-tech industries, this 4-day instructor-led training course provides a practical, hands-on approach to deploying, managing, and scaling big data applications on Kubernetes.

Course Highlights:

  • Foundational Knowledge: Equip learners with an understanding of Kubernetes architecture, container orchestration, and the core concepts needed to support big data workloads.
  • Big Data Tools Integration: Dive into deploying and orchestrating cutting-edge technologies like Apache Kafka for streaming, Apache Spark for processing, and Apache Airflow for pipeline orchestration—all within Kubernetes.
  • Scalable Data Pipelines: Train participants to build both batch and real-time data pipelines, leveraging tools like Trino for SQL-based querying and Elasticsearch with Kibana for real-time data visualization.
  • Enterprise-Grade Practices: Cover essential topics such as Kubernetes monitoring, service mesh integration, security best practices, automated scalability, and cost optimization strategies for production environments.
  • Hands-On Labs: Include practical exercises such as setting up a Kubernetes cluster, deploying key big data components, and troubleshooting real-world scenarios to ensure participants gain confidence in applying their skills.

Why Choose This Course?

This courseware is meticulously structured for high-value clients in industries reliant on data-driven solutions. It bridges the gap between cutting-edge technology and practical implementation, enabling your customers to position themselves as leaders in the big data and cloud-native ecosystems.

Whether your audience is IT professionals, DevOps engineers, or data architects, this 4-day program provides the depth, breadth, and practical insights needed to deliver real-world results.

Course Outline

Day 1: Introduction to Big Data and Kubernetes

Agenda:

  • Explore the fundamentals of Kubernetes and its architecture.
  • Understand container orchestration and its role in managing big data.
  • Discuss key concepts like Pods, Deployments, and Services.
  • Set up a Kubernetes environment tailored for big data workloads.

Learning Objectives:

  • Identify the components of Kubernetes and their roles in a cluster.
  • Configure Kubernetes for optimized big data deployments.
  • Understand the importance of containerization for scalable data systems.

Day 2: Data Processing and Orchestration with Key Tools

Agenda:

  • Introduce Apache Spark for distributed data processing.
  • Dive into Apache Airflow for orchestrating workflows.
  • Learn best practices for data pipeline management in Kubernetes.

Learning Objectives:

  • Deploy Spark on Kubernetes for batch and real-time processing.
  • Build and manage workflow pipelines using Airflow.
  • Integrate Spark and Airflow into scalable data pipelines.

Day 3: Real-Time Data Streaming and Integration

Agenda:

  • Explore Apache Kafka for event streaming and data ingestion.
  • Deploy and configure Kafka clusters on Kubernetes.
  • Learn about connectors for integrating Kafka with external systems.

Learning Objectives:

  • Set up and manage Kafka on Kubernetes.
  • Stream data in real-time using Kafka topics and consumers.
  • Connect Kafka to data lakes and storage solutions.

Day 4: Data Visualization, Security, and Cost Optimization

Agenda:

  • Deploy Elasticsearch and Kibana for data visualization and analysis.
  • Cover security best practices for Kubernetes clusters.
  • Discuss cost management techniques and tools for big data.

Learning Objectives:

  • Visualize data in real-time with Kibana dashboards.
  • Implement robust security policies and monitoring solutions.
  • Optimize Kubernetes operations for cost efficiency.
What's Included

Instructor Kit

(PPTX/PDF of Slides + Optional Instructor Notes)
Comprehensive slide deck with detailed content covering all modules, plus optional instructor notes to enhance teaching effectiveness.

Student Kit / Handout

(with Free Branding)
Professionally designed handouts for students, including all essential course information and customizable branding options for your organization.

Course Agenda / Outline

Detailed day-by-day course agenda and outline, ensuring smooth course delivery and a structured learning experience for students.

Study Guide

A concise guide summarizing key concepts and topics covered in the course, perfect for post-course review and exam preparation.

FAQ

Answers to commonly asked questions about the course content, delivery, and labs to support instructors and students.

Briefing Doc

A high-level document summarizing the course objectives, target audience, and key learning outcomes, ideal for internal use and marketing.

Sales Enablement Kit for IT Training Sales Engineers

(Additional Fee)
Exclusive toolkit designed for IT training sales teams, including pitch decks, objection handling, and ROI documentation to support course sales.

Course AI GPT

(Course Assistant GPT so students can talk to the course materials!)
A cutting-edge AI-driven assistant that allows students to interact with course content, ask questions, and receive instant feedback.

Optional Podcast

(of the entire course or for each individual module)
Engaging audio content covering the entire course or individual modules, perfect for on-the-go learning or reinforcement.

Lab Guide

(Lab Environments are additional and can be found at CourseLabs.io)
Step-by-step lab guide to support hands-on learning, with lab environments available separately at CourseLabs.io.

Lab Files

(If you choose to host your own lab environment)All necessary files and instructions for setting up and running labs in your own environment, offering flexibility in deployment.

Software Version

Apache Spark: Latest stable

Apache Airflow: Latest stable

Apache Kafka: Latest stable

Kubernetes: Latest stable

Elasticsearch: 8.13.0

Kibana: Latest stable

Prometheus: Latest stable

Grafana: Latest stable

Trino: Latest stable

NGINX: 1.25.2

Strimzi Operator: Latest stable

Helm: Latest stable

KEDA: Latest stable

Docker: Latest stable

ZooKeeper: Latest stable

More Information

Course Objectives

This course is designed to equip learners with the skills to deploy, manage, and scale big data applications on Kubernetes. By the end of this training, students will:

  • Understand Kubernetes architecture and its role in big data workflows.
  • Master tools like Apache Kafka, Spark, Airflow, and Elasticsearch.
  • Build scalable, real-time data pipelines and visualizations.
  • Apply security, monitoring, and cost-optimization strategies.

Learning Objectives

Participants will gain practical expertise in:

  • Setting up Kubernetes clusters for big data environments.
  • Deploying and managing streaming, processing, and orchestration tools.
  • Hands-on troubleshooting of common big data challenges.

Who Is This Course For?

This course is ideal for:

  • DevOps Engineers transitioning to big data applications.
  • Data Architects designing scalable solutions.
  • IT Professionals seeking hands-on Kubernetes experience.
  • Software Engineers involved in data-intensive projects.

Course Format

  • 50% Lecture: Engaging, expert-led sessions.
  • 50% Hands-On Labs: Real-world exercises for practical experience.

Customization Options

We understand the importance of flexibility. This course can be delivered as:

  • 1, 2, 3, 4, or 5-day programs
  • Customizable content tailored to your audience.
  • Cost: $40 per student, per day

Empower your team with the knowledge to succeed in the era of cloud-native big data! Contact us to schedule your customized training session.

Refund Policy

Shipping cost is based on weight. Just add products to your cart and use the Shipping Calculator to see the shipping price.

We want you to be 100% satisfied with your purchase. Items can be returned or exchanged within 30 days of delivery.