From Big Data to AI

In today's economy, data is your most valuable asset—but only if you can transform it into intelligence. This workshop is designed for business leaders who need to move beyond the buzzwords and master the fundamentals of leveraging big data to drive AI-powered results.

The course demystifies the world of big data, starting with its core characteristics—the 5Vs (Volume, Velocity, Variety, Veracity, and Value)—and what they mean for your business strategy. We then cut through the complexity of the technology landscape, providing a clear overview of essential systems like distributed storage, advanced analytics, and the frameworks that support AI.

The training is built around the essential Ingest-Process-Serve workflow, the strategic blueprint for turning raw data into actionable insights. Through a dynamic blend of strategic theory, hands-on labs, and real-world case studies, this workshop equips you with the practical skills to lead data initiatives and build a bridge between your technical teams and your business objectives.

Workshop Overview

Learning Outcomes

• Translate complex big data fundamentals into tangible business opportunities and strategic initiatives for your organization.

• Evaluate your company's data assets through the lens of the 5Vs (Volume, Velocity, Variety, Veracity, and Value) to identify key challenges and unlock new avenues for growth.

• Navigate the modern big data technology landscape (including Object Storage, Spark, and more) to make informed, high-impact decisions on technology investment and strategy.

• Architect a high-level Ingest-Process-Serve workflow, enabling you to effectively guide technical teams in building a scalable and efficient data pipeline.

• Develop a strategic roadmap for leveraging your data to power predictive analytics and AI applications, creating a sustainable competitive advantage for your business.

Detailed Course Schedule

• Day 1:

  • The 5Vs and their impact on big data strategies

  • Big data architectures and use cases

  • Design big data course group projects

• Day 2:

  • Overview of Hadoop’s impact

  • Big data storage techniques

  • Introduction to big data technologies: object storage and Spark

• Day 3:

  • Big data ingestion, processing and analyzing using Spark and python

  • Big data analytics examples from storing, retrieving and analyzing data for AI

• Day 4:

  • Big data AI real-world practice examples

  • Big data visualization techniques and examples

• Day 5:

  • Applying big data concepts in real-world projects

  • Finish course big data group projects

  • Discussing trends, AI integration, and cloud solutions in big data

• Introduction to Big Data and its role in modern industries.

• The 5Vs of Big Data: Understanding data characteristics and challenges.

• The Hadoop ecosystem: Components, architecture, and practical applications.

• The Ingest-Store-Train-Serve-Intelligence workflow is used to handle large-scale data efficiently.

• Batch processing with MapReduce and Spark, and real-time streaming with Flink.

• Data ingestion and storage using Kafka, Flume, HBase, and NoSQL databases.

• Building scalable data pipelines for analytics and AI integration.

• Industry uses cases and hands-on projects for practical experience.

• Big Data trends: Future AI, cloud computing, and machine learning advancements.

What will it be about?