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Course Skill Level:

Foundational to Intermediate

Course Duration:

5 day/s

  • Course Delivery Format:

    Live, instructor-led.

  • Course Category:

    Big Data & Data Science

  • Course Code:

    BIGDATL21E09

Who should attend & recommended skills:

Those with basic IT and traditional database skills

Who should attend & recommended skills

  • This course is geared for those who want to use an architecture that takes advantage of clustered hardware along with new tools designed specifically to capture and analyze web-scale data.
  • Skill-level: Foundation-level Big Data skills for Intermediate skilled team members. This is not a basic class.
  • IT skills: Basic to Intermediate (1-5 years’ experience)
  • Traditional databases: Basic (1-2 years’ experience) helpful
  • Large-scale Data Analysis and NoSQL tools not necessary

About this course

Web-scale applications like social networks, real-time analytics, or e-commerce sites deal with a lot of data, whose volume and velocity exceed the limits of traditional database systems. These applications require architectures built around clusters of machines to store and process data of any size, or speed. Fortunately, scale and simplicity are not mutually exclusive.
Big Data teaches you to build big data systems using an architecture designed specifically to capture and analyze web-scale data. This course presents the Lambda Architecture, a scalable, easy-to-understand approach that can be built and run by a small team. You’ll explore the theory of big data systems and how to implement them in practice. In addition to discovering a general framework for processing big data, you’ll learn specific technologies like Hadoop, Storm, and NoSQL databases.

Skills acquired & topics covered

  • Working in a hands-on learning environment, led by our Big Data expert instructor, participants will learn about and explore:
  • Using an architecture that takes advantage of clustered hardware along with new tools designed specifically to capture and analyze web-scale data
  • Describes a scalable, easy-to-understand approach to big data systems that can be built and run by a small team
  • Guides readers through the theory of big data systems, how to implement them in practice
  • How to deploy and operate them once they’re built
  • Introduction to big data systems
  • Real-time processing of web-scale data
  • Tools like Hadoop, Cassandra, and Storm
  • Extensions to traditional database skills

Course breakdown / modules