Introduction and foundations of Big Data

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Course Overview

The BigData Foundation certification is a professional credential that recognizes individuals’ fundamental knowledge in big data concepts and technologies. It covers the principles of data mining, analysis, capture, management, and governance. Industries use this certification to validate the expertise of professionals who handle large volumes of complex data, ensuring that they possess a foundational understanding of how to effectively work with big data environments. This certification is crucial for companies seeking to harness the insights big data can provide, aiming to improve decision-making, predictive analysis, and business intelligence. It lays the groundwork for more advanced expertise in data science and analytics roles.

This is a Rare Course and it can take up to 3 weeks to arrange the training.

Learning and Objectives:

– Certified Instructor-led education
– Career enhancement with Big Data proficiency
– Tailored training programs to suit individual needs
– Unique destination training experiences
– Cost-effective learning solutions
– Recognized as a leading training institute
– Adjustable scheduling for convenience
– Online training with real-time instructor interaction
– Extensive selection of courses across technologies
– Officially accredited and approved training partner

Course Prerequisites

– Basic knowledge of computing- Understanding of core data concepts
– Familiarity with database principles
– Elementary programming skills
– Awareness of data analytics importance
– High school mathematics proficiency

Target Audiance

  • - IT professionals seeking to understand big data concepts
  • - Business analysts aiming to leverage big data insights
  • - Data enthusiasts wanting a foundational knowledge of big data technologies
  • - Managers overseeing data-driven projects
  • - Professionals looking to transition into big data roles

Schedule Dates

Introduction and foundations of Big Data
10 June 2024 - 14 June 2024
Introduction and foundations of Big Data
16 September 2024 - 20 September 2024
Introduction and foundations of Big Data
16 December 2024 - 20 December 2024
Introduction and foundations of Big Data
17 March 2025 - 21 March 2025

Course Content

  • What launched the Big Data era?
  • Applications: What makes big data valuable
  • Example: Saving lives with Big Data
  • Example: Using Big Data to Help Patients
  • Getting Started: Where Does Big Data Come From?
  • Machine-Generated Data: It's Everywhere and There's a Lot!
  • Machine-Generated Data: Advantages
  • Big Data Generated By People: The Unstructured Challenge
  • Big Data Generated By People: How Is It Being Used?
  • Organization-Generated Data: Structured but often siloed
  • Organization-Generated Data: Benefits Come From Combining With Other Data Types
  • The Key: Integrating Diverse Data
  • Exercises

  • Getting Started: Characteristics Of Big Data
  • Characteristics of Big Data - Volume
  • Characteristics of Big Data - Variety
  • Characteristics of Big Data - Velocity
  • Characteristics of Big Data - Veracity
  • Characteristics of Big Data - Valence
  • The Sixth V: Value
  • Exercises

  • Data Science: Getting Value out of Big Data
  • Building a Big Data Strategy
  • How does big data science happen?: Five Components of Data Science
  • Asking the Right Questions
  • Steps in the Data Science Process
  • Step 1: Acquiring Data
  • Step 2-A: Exploring Data
  • Step 2-B: Pre-Processing Data
  • Step 3: Analyzing Data
  • Step 4: Communicating Results
  • Step 5: Turning Insights into Action
  • Exercises

  • Getting Started: Why worry about foundations?
  • What is a Distributed File System?
  • Scalable Computing over the Internet
  • Programming Models for Big Data
  • Exercises

  • Hadoop: Why, Where and Who?
  • The Hadoop Ecosystem: Welcome to the zoo!
  • The Hadoop Distributed File System: A Storage System for Big
  • YARN: A Resource Manager for Hadoop
  • MapReduce: Simple Programming for Big Results
  • When to Reconsider Hadoop?
  • Cloud Computing: An Important Big Data Enabler
  • Cloud Service Models: An Exploration of Choices
  • Value From Hadoop and Pre-built Hadoop Images
  • Copy your data into the Hadoop Distributed File System (HDFS
  • Run the WordCount program
  • Exercises
  • Wrap the course up

FAQs

Big Data refers to large volumes of data that cannot be processed effectively with traditional methods. In Dubai, Big Data is crucial due to its role in driving decision-making across various sectors such as transportation, healthcare, finance, and tourism, contributing to the city’s development and innovation.

Big Data in Dubai is collected through various sources such as sensors, social media platforms, mobile devices, transaction records, and public databases. These sources provide vast amounts of data that can be analyzed for insights and patterns.

Challenges include data security and privacy concerns, the need for advanced analytics tools and skilled professionals, integrating diverse data sources, and ensuring compliance with regulations such as GDPR and local data protection laws.

Big Data analytics helps optimize traffic flow, manage public transportation routes, predict demand for services, and enhance road safety through real-time monitoring of traffic patterns and incidents.

Big Data analytics enhances patient care through predictive modeling for disease outbreaks, personalized treatment plans, optimizing hospital operations, and improving public health interventions.

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