SMACK Stack for Data Science Training

Instructor-Led Training Parameters

Course Highlights

  • Instructor-led Online Training
  • Project Based Learning
  • Certified & Experienced Trainers
  • Course Completion Certificate
  • Lifetime e-Learning Access
  • 24x7 After Training Support

SMACK Stack for Data Science Training Course Overview

Advance your career with SMACK Stack for Data Science training by Multisoft Systems. Explore the synergy of Spark, Mesos, Akka, Cassandra, and Kafka for scalable data analytics and real-time insights. This course combines theory with practical projects, equipping you to build robust, data-driven applications with modern distributed computing technologies.

The SMACK Stack for Data Science training by Multisoft Systems is designed to equip learners with the practical knowledge and technical expertise needed to build and manage large-scale data-driven applications. The SMACK stack—comprising Spark, Mesos, Akka, Cassandra, and Kafka—forms a powerful ecosystem for real-time data processing, analytics, and machine learning workloads. Throughout this comprehensive program, participants will learn how to integrate these open-source tools to develop scalable and fault-tolerant systems capable of handling massive data streams. The course covers distributed computing with Apache Spark, cluster management with Apache Mesos, event-driven architecture using Akka, NoSQL database management with Cassandra, and data streaming through Apache Kafka. By mastering the SMACK stack, learners gain the ability to architect and deploy end-to-end big data solutions that support modern enterprise data pipelines. Real-world case studies, practical labs, and expert-led sessions help bridge the gap between theory and hands-on implementation.

Whether you’re a data engineer, software developer, or data scientist, this training will empower you with the tools and confidence to work on cutting-edge analytics projects and advance your career in data engineering and distributed system design.

Instructor-led Training Live Online Classes

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SMACK Stack for Data Science Training Course curriculum

Curriculum Designed by Experts

Advance your career with SMACK Stack for Data Science training by Multisoft Systems. Explore the synergy of Spark, Mesos, Akka, Cassandra, and Kafka for scalable data analytics and real-time insights. This course combines theory with practical projects, equipping you to build robust, data-driven applications with modern distributed computing technologies.

The SMACK Stack for Data Science training by Multisoft Systems is designed to equip learners with the practical knowledge and technical expertise needed to build and manage large-scale data-driven applications. The SMACK stack—comprising Spark, Mesos, Akka, Cassandra, and Kafka—forms a powerful ecosystem for real-time data processing, analytics, and machine learning workloads. Throughout this comprehensive program, participants will learn how to integrate these open-source tools to develop scalable and fault-tolerant systems capable of handling massive data streams. The course covers distributed computing with Apache Spark, cluster management with Apache Mesos, event-driven architecture using Akka, NoSQL database management with Cassandra, and data streaming through Apache Kafka. By mastering the SMACK stack, learners gain the ability to architect and deploy end-to-end big data solutions that support modern enterprise data pipelines. Real-world case studies, practical labs, and expert-led sessions help bridge the gap between theory and hands-on implementation.

Whether you’re a data engineer, software developer, or data scientist, this training will empower you with the tools and confidence to work on cutting-edge analytics projects and advance your career in data engineering and distributed system design.

  • Understand the architecture and components of the SMACK Stack — Spark, Mesos, Akka, Cassandra, and Kafka.
  • Learn how to integrate SMACK components to build scalable, real-time data processing pipelines.
  • Gain expertise in distributed computing using Apache Spark for big data analytics.
  • Configure and manage cluster environments efficiently with Apache Mesos.
  • Implement event-driven and reactive applications using Akka’s actor-based model.
  • Learn to design and optimize NoSQL data models using Apache Cassandra for large-scale systems.
  • Master real-time data streaming and message processing with Apache Kafka.
  • Develop and deploy end-to-end data science solutions using the SMACK ecosystem.
  • Apply best practices in fault tolerance, scalability, and high availability for enterprise-grade applications.
  • Build practical experience through hands-on labs, case studies, and real-world project simulations.

Course Prerequisite

  • Basic understanding of Python, Java, or Scala programming languages
  • Familiarity with data processing concepts and databases (SQL/NoSQL)
  • Fundamental knowledge of Linux/Unix commands

Course Target Audience

  • Data Scientists
  • Data Engineers
  • Big Data Developers
  • Software Engineers
  • System Architects
  • Cloud Engineers
  • DevOps Professionals
  • Database Administrators (DBAs)
  • Machine Learning Engineers
  • Technical Project Managers
  • IT Professionals seeking Big Data expertise
  • Professionals aspiring to build real-time data processing systems

Course Content

  • What is Apache Spark? Apache Spark features
  • What is Apache Mesos? Apache Mesos features
  • What is Apache Akka? Apache Akka features
  • What is Apache Cassandra? Apache Cassandra features
  • What is Apache Kafka? Apache Kafka features

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  • Scala syntax and structure
  • Scala control flow

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  • Installing and configuring the SMACK stack
  • Installing and configuring Docker

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  • Creating a database for read operations
  • Working with backups and recovery

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  • Creating a stream
  • Building an Akka application
  • Storing data with Cassandra
  • Reviewing connectors

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  • Working with clusters
  • Creating, publishing, and consuming messages

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  • Allocating resources
  • Running clusters
  • Working with Apache Aurora and Docker
  • Running services and jobs
  • Deploying Spark, Cassandra, and Kafka on Mesos

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  • Managing data flows
  • Working with RDDs and dataframes
  • Performing data analysis

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  • Handling failure of services and errors

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SMACK Stack for Data Science Training (MCQ) Assessment

This assessment tests understanding of course content through MCQ and short answers, analytical thinking, problem-solving abilities, and effective communication of ideas. Some Multisoft Assessment Features :

  • User-friendly interface for easy navigation
  • Secure login and authentication measures to protect data
  • Automated scoring and grading to save time
  • Time limits and countdown timers to manage duration.
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SMACK Stack for Data Science Corporate Training

Employee training and development programs are essential to the success of businesses worldwide. With our best-in-class corporate trainings you can enhance employee productivity and increase efficiency of your organization. Created by global subject matter experts, we offer highest quality content that are tailored to match your company’s learning goals and budget.


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360º Learning Solution

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Learning Assessment

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Certification Training Achievements: Recognizing Professional Expertise

Multisoft Systems is the “one-top learning platform” for everyone. Get trained with certified industry experts and receive a globally-recognized training certificate. Some Multisoft Training Certificate Features :

  • Globally recognized certificate
  • Course ID & Course Name
  • Certificate with Date of Issuance
  • Name and Digital Signature of the Awardee
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SMACK Stack for Data Science Training FAQ's

The SMACK Stack is a combination of five open-source technologies—Spark, Mesos, Akka, Cassandra, and Kafka—used to build scalable, real-time data processing and analytics systems for big data applications.

This course is ideal for data scientists, data engineers, software developers, and system architects who want to master distributed computing and real-time analytics platforms.

Learners gain the ability to design end-to-end big data pipelines, work with real-time data streams, and develop fault-tolerant, high-performance applications using modern data technologies.

No, but a basic understanding of programming, databases, and Linux is recommended to make learning easier.

To contact Multisoft Systems you can mail us on info@multisoftsystems.com or can call for course enquiry on this number +91 9810306956

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