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Big Data Fundamentals
YOUR PATHWAY TO SUCCESS
This 5-day course provides a foundational understanding of Big Data and its implications for modern businesses. Participants will explore the characteristics of Big Data (volume, velocity, variety), the challenges of processing and storing large datasets, and the various technologies used to manage Big Data.
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Course Duration
5 Days
Course Details
This 5-day course provides a foundational understanding of Big Data and its implications for modern businesses. Participants will explore the characteristics of Big Data (volume, velocity, variety), the challenges of processing and storing large datasets, and the various technologies used to manage Big Data. The course covers core concepts such as distributed computing, Hadoop, Spark, NoSQL databases, and data warehousing. Through real-world case studies and practical exercises, learners will gain insights into how organizations are leveraging Big Data to gain a competitive advantage.
This course focuses on understanding the Big Data ecosystem and the different tools and technologies available. Participants will learn about distributed computing frameworks like Hadoop and Spark, which are essential for processing massive datasets. The course also covers NoSQL databases, which are designed to handle the variety of data that characterizes Big Data. By the end of this course, participants will have a solid understanding of the fundamentals of Big Data and be prepared to explore more specialized areas.
By the end of this course, learners will be able to:
- Understand the characteristics of Big Data.
- Describe the challenges of processing and storing Big Data.
- Explain the different technologies used to manage Big Data.
- Understand the basics of distributed computing.
- Describe the Hadoop and Spark frameworks.
- Explain the different types of NoSQL databases.
- Data scientists, analysts, and engineers.
- IT professionals and business leaders.
- Individuals who want to learn about Big Data and its applications.
Course Outline
5 days Course
- Introduction to Big Data:
- What is Big Data?
- The 3 Vs (and more) of Big Data: Volume, Velocity, Variety, Veracity, Value.
- Use cases for Big Data in various industries.
- Practical exercise: Exploring real-world Big Data applications.
- Distributed Computing and Hadoop:
- The principles of distributed computing.
- The Hadoop ecosystem: HDFS and MapReduce.
- Practical exercise: Working with HDFS and MapReduce.
- Apache Spark:
- Introduction to Apache Spark.
- Spark Core and Spark SQL.
- Practical exercise: Processing data with Spark.
- Apache Spark:
- NoSQL Databases:
- What are NoSQL databases?
- Types of NoSQL databases: Key-value stores, document databases, column-family stores, graph databases.
- Practical exercise: Working with a NoSQL database.
- NoSQL Databases:
- Big Data Architectures and Data Warehousing:
- Building Big Data architectures.
- Data warehousing and data lakes.
- Practical exercise: Designing a Big Data architecture for a specific use case.
- Big Data Architectures and Data Warehousing:
