Big Data Analytics with Apache Spark

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Build and maintain applications with faster startup, better parallelism, and better CPU utilization.

Gain an in-depth and comprehensive understanding of big data analytics and AI project from project initiation to project completion.

Best suited for system developers who want to perform operations on a large volume of data in clusters quickly and with fault tolerance.

Duration:
2 days

Master the new ‘King’ that powers big data analytics and machine learning.

Apache Spark helps increase system development productivity leveraging parallel processing of distributed data with iterative algorithms.

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Lightning-fast analysis at scale.

Apache Spark is a lightning-fast unified analytics engine for big data and machine learning. It has quickly become the largest open source community in big data, with over 1000 contributors from 250+ organizations. Many data scientists, analysts, and general business intelligence users rely on interactive SQL queries for exploring data.

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Real-time analytics made possible.

Not only Spark can be seamlessly combined to create complex workflows, but it also provides in-memory computing capabilities to deliver speed, a generalized execution model to support a wide variety of applications, for ease of development.

Build faster, robust, scalable systems.

Best suited for analysts, data scientists, and business professionals who manage huge database architecture with a robust and versatile framework. For system architects and developers needing to analyze large volumes of data faster, in a more scalable way and with cheaper implementation and maintenance costs, you must not miss this course.

Learning Outcome

Upon completion, participants should be able to demonstrate each of the following;

  1. Understand and familiar with Big Data and Apache Spark ecosystem.
  2. Familiar with DataFrames and Spark SQL.
  3. Ability to Build machine learning models and data streaming processing.

Learning Path

Big Data Analytics with Apache Spark is one of the modules under the CADS Enterprise Data Scientist (EDS) Programme. EDS is a 23-26 days training program that supercharges Business Data Scientists with new skills to analyze and communicate insights effectively.

CADS Certification

Each exam in this program certifies job-ready knowledge and skill. Those that pass all are recognized as being able to distil insight from data and communicate its value to a decision-maker. Enter the world of Data Professionals.

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