Get in Touch
 Duration 42 hours

Course Outline

Introduction to Big Data Ecosystems

  • Surveying big data technologies and underlying architectures
  • Comparing batch processing with real-time processing
  • Strategies for scalable data storage

Advanced Data Processing with Apache Spark

  • Optimising Spark jobs for peak performance
  • Executing advanced transformations and actions
  • Managing structured streaming workflows

Machine Learning at Scale

  • Techniques for distributed model training
  • Hyperparameter tuning across large datasets
  • Deploying models within big data environments

Deep Learning for Big Data

  • Integrating TensorFlow and PyTorch with Spark
  • Constructing distributed deep learning training pipelines
  • Practical applications in image, text, and time-series analysis

Real-Time Analytics and Data Streaming

  • Utilising Apache Kafka for streaming data ingestion
  • Implementing stream processing frameworks
  • Monitoring and establishing alerting mechanisms in real-time systems

Data Governance, Security, and Ethics

  • Navigating data privacy and compliance requirements
  • Managing access control and encryption in big data systems
  • Ethical considerations in large-scale analytics

Integrating Big Data with Business Intelligence

  • Data visualisation and dashboarding tailored for big data
  • Connecting big data pipelines to BI tools
  • Driving business outcomes through advanced analytics

Summary and Next Steps

Requirements

  • A robust understanding of data analysis and statistical modelling concepts
  • Proficiency in data processing tools and programming languages such as Python, R, or Scala
  • Familiarity with distributed computing frameworks like Hadoop or Spark

Target Audience

  • Data scientists aiming to excel in large-scale data processing and predictive analytics
  • Senior analysts looking to design and implement advanced analytical workflows
  • R&D professionals focused on developing innovative, data-driven solutions

Number of participants


Price per participant

Testimonials (3)

Provisional Upcoming Courses (Require 5+ participants)

Related Categories