Big Data Analysis with Spark Course


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We are proud to offer this course in a variety of training formats to suit your needs. We use the highest quality learning facilities to make sure your experience is as comfortable as possible. Our face to face calendar allows you to choose any classroom course of your choice to be delivered at any venue of your choice - offering you the ultimate in convenience and value for money.


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Introduction

Welcome to the Big Data Analysis with Spark course! In today's digital landscape, data is being generated at an unprecedented rate, presenting both challenges and opportunities for businesses and organizations. Traditional data processing tools often struggle to keep up with the scale and complexity of modern data sets. This is where Apache Spark shines. Apache Spark is a powerful, open-source framework for large-scale data processing and analytics. Its lightning-fast processing capabilities, combined with its ease of use and versatility, have made it a preferred choice for organizations across industries.

Duration

10 Days

Who Should Take This Course?

This course is designed for data engineers, data analysts, software developers, and anyone interested in mastering the art of big data analysis with Apache Spark. Whether you're a seasoned professional looking to upskill or a beginner eager to dive into the world of big data, this course will equip you with the knowledge and skills you need to succeed.


Course Level:
  • Develop a strong foundation in Big Data concepts and Spark architecture.
  • Acquire practical skills in data manipulation, analysis, and visualization using Spark.
  • Gain expertise in Spark SQL for querying and processing structured data.
  • Explore advanced Spark capabilities such as machine learning and real-time analytics.
  • Learn best practices for deploying, managing, and optimizing Spark applications.
  • Apply Spark to solve real-world problems and contribute to data-driven decision-making processes.

Module 1: Introduction to Big Data and Spark

  • Overview of Big Data
  • Introduction to Apache Spark
  • Spark architecture and components
  • Setting up Spark environment (local or cluster)

Module 2: Spark Basics

  • Spark RDDs (Resilient Distributed Datasets)
  • Spark transformations and actions
  • Understanding lazy evaluation
  • Spark DataFrame and Dataset API

Module 3: Data Manipulation and Processing

  • 3Loading and saving data in Spark
  • Data cleaning and preprocessing
  • Exploratory data analysis with Spark
  • Handling missing data and outliers

Module 4: Spark SQL and DataFrames

  • Introduction to Spark SQL
  • Working with DataFrames and Datasets
  • Executing SQL queries with Spark
  • Performance tuning in Spark SQL

 

Module 5: Advanced Spark Concepts

  • Spark Streaming for real-time data processing
  • Machine learning with Spark MLlib
  • Graph processing with Spark GraphX
  • Integration with other big data tools (Hadoop, Kafka, etc.)

Module 6: Scalability and Performance Optimization

  • Understanding Spark performance bottlenecks
  • Techniques for optimizing Spark jobs
  • Scaling Spark applications for large datasets
  • Monitoring and debugging Spark applications

Module 7: Spark Deployment and Management

  • Deploying Spark on a cluster (Standalone, YARN, Mesos)
  • Configuration and resource management
  • High availability and fault tolerance
  • Managing Spark clusters in production

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Course Administration Details:

METHODOLOGY

The instructor led trainings are delivered using a blended learning approach and comprise of presentations, guided sessions of practical exercise, web-based tutorials and group work. Our facilitators are seasoned industry experts with years of experience, working as professional and trainers in these fields.

All facilitation and course materials will be offered in English. The participants should be reasonably proficient in English.

ACCREDITATION

Upon successful completion of this training, participants will be issued with an Indepth Research Institute (IRES) certificate certified by the National Industrial Training Authority (NITA).

TRAINING VENUE

The training will be held at IRES Training Centre. The course fee covers the course tuition, training materials, two break refreshments and lunch.

All participants will additionally cater for their, travel expenses, visa application, insurance, and other personal expenses.

ACCOMMODATION AND AIRPORT PICKUP

Accommodation and airport pickup are arranged upon request. For reservations contact the Training Officer.

Email:[email protected]/[email protected]

Mob: +254 715 077 817/+250789621067

TAILOR- MADE

This training can also be customized to suit the needs of your institution upon request. You can have it delivered in our IRES Training Centre or at a convenient location.

For further inquiries, please contact us on Tel: +254 715 077 817/+250789621067

Mob: +254 792516000+254 792516010 , +250 789621067 ,or mail [email protected]/[email protected]

PAYMENT

Payment should be transferred to IRES account through bank on or before start of the course.

Send proof of payment to [email protected]/[email protected]


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