Training bag

Best Practices for Managing and Analyzing Big Data

5 days

Best Practices for Managing and Analyzing Big Data

The bag includes the following files:

  1. Power Point presentation slides
  2. Word Instructor's Manual
  3. Trainee Note ( Word )
  4. Word worksheets
  5. Introductory guide to the Word bag
  6. Pre-test and post-test Word
  7. Word training course
  8. evaluation form

All files are open and editable

Overall goal:

In today's data-driven world, the ability to harness the power of big data is no longer a competitive advantage, it's a necessity. Our "Best Practices for Managing and Analyzing Big Data" training course equips you with the skills to unlock the hidden insights within massive datasets, transforming them into actionable intelligence for your organization. Imagine making data-driven decisions with confidence, streamlining operations, and uncovering new opportunities for growth – that's the power you'll gain by enrolling. This comprehensive course will empower you to navigate the complexities of big data management, from wrangling unruly datasets to extracting powerful insights. You'll learn industry-proven techniques for data organization, analysis, and visualization, putting you at the forefront of data-driven decision making. Don't get left behind in the big data revolution – enroll today and unlock the true potential of your organization's data!

  • 1. Big Data Fundamentals

    Define key concepts of big data (volume, velocity, variety) and its significance in the modern business landscape.

  • 2.Data Management and Cleaning

    Apply data cleaning techniques to handle missing values, inconsistencies, and duplicates within large datasets.

  • 3.Big Data Analysis Techniques

    Demonstrate proficiency in querying big data using tools like SQL and NoSQL languages.

  • 4.Data Visualization and Communication

    Create compelling data visualizations (charts, graphs, dashboards) to effectively communicate insights from big data analysis.

  • 5.Big Data Implementation and Best Practices

    Design and implement a big data solution based on business needs and data availability.

  • 6.Develop

    a plan for ongoing big data management and maintenance to ensure long-term success.

  • 7.Explain

    complex data findings to stakeholders in a clear, concise, and non-technical manner.

  • 8.Implement

    data quality control procedures to ensure the accuracy and reliability of data for analysis..

  • 9.Identify

    various data sources and techniques for data collection and ingestion in a big data environment.

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DAY ONE

First Training Session (Big Data and Its Characteristics)

Training Session one

  • Introduction
  • Evaluation Test
  • What is Big Data?
  • Difference Between Big Data and Databases
  • Attributes and Characteristics of Big Data
  • Trainer's Model for Assessing Trainee's Performance Level

Training Session two

Second Training Session (Types and Techniques of Big Data)

  • Types of Big Data
  • Big Data Technologies
  • Trainer's Model for Assessing Trainee's Performance Level
  • Workshop of the First Training Day
  • Survey on Big Data and Its Characteristics and Types

DAY TWO

Training Session one

First Training Session (Big Data Architecture and Its Sources)

  • Sources of Big Data
  • Big Data Architecture
  • Core Components of Big Data
  • Trainer's Model for Assessing Trainee's Performance Level

Training Session two

Second Training Session (Big Data Processing Methods and Programming Languages)

  • Big Data Processing Methods
  • Big Data Programming Languages
  • Trainer's Model for Assessing Trainee's Performance Level
  • Workshop of the Second Training Day
  • Survey on Sources, Methods, and Programming Languages of Big Data

DAY THREE

Training Session one

Second Training Session (Big Data Mechanism)

  • How Big Data Works
  • Stakeholders in the Big Data Ecosystem
  • Trainer's Model for Assessing Trainee's Performance Level
  • Workshop of the Third Training Day
  • Evaluation Test

Training Session two

Second Training Session (Big Data Mechanism)

  • How Big Data Works
  • Stakeholders in the Big Data Ecosystem
  • Trainer's Model for Assessing Trainee's Performance Level
  • Workshop of the Third Training Day
  • Evaluation Test

DAY FOUR

Training Session one

First Training Session (Benefits of Using Big Data and How to Utilize It)

  • Benefits of Using Big Data and the Importance of Analyzing and Processing It
  • How to Utilize Big Data in Inventory Management
  • Principles of Managing and Using Emirati Data
  • Trainer's Model for Assessing Trainee's Performance Level

Training Session two

Second Training Session (Tools and Techniques for Big Data Analysis)

  • Ways to Invest and Use Big Data
  • Tools and Techniques Used for Big Data Analysis
  • Practical Examples of Using Big Data in the UAE
  • Trainer's Model for Assessing Trainee's Performance Level
  • Workshop of the Fourth Training Day

DAY FIVE

Training Session one

First Training Session (Big Data Processing Platforms and Management Challenges)

  • Big Data Processing Platforms
  • Big Data Management Systems
  • Data Management Challenges
  • Trainer's Model for Assessing Trainee's Performance Level

Training Session two

Second Training Session (Role of Big Data in Supporting Various Institutions)

  • Best Practices for Data Management
  • Applications of Big Data Usage
  • Role of Big Data in Supporting Various Institutions
  • Trainer's Model for Assessing Trainee's Performance Level
  • Workshop of the Fifth Training Day
  • Evaluation Test
  • Self-Assessment
  • References
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Best Practices for Managing and Analyzing Big Data

Best Practices for Managing and Analyzing Big Data

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