Big Data 101 Training

Live Online & Classroom Enterprise Training

Big Data 101 introduces the fundamentals of big data, its characteristics (Volume, Variety, Velocity), and processing frameworks like Hadoop and Spark. It covers storage, analytics, and real-world applications.

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What is Big Data 101 Training about?

Big Data 101 provides an introductory overview of big data concepts, tools, and techniques. The course introduces the core principles of big data, its architecture, and the technologies used to analyze and process large volumes of data efficiently. You will explore real-world applications and gain an understanding of the value of big data across industries.

What are the objectives of Big Data 101 Training ?

Understand the fundamental concepts of big data and its importance in today's data-driven world.
Learn about different big data technologies such as Hadoop, Spark, and NoSQL databases.
Explore the big data ecosystem, including data storage, processing, and analysis techniques.
Understand the role of big data in various industries and real-world applications.
Gain insights into the challenges and opportunities associated with big data projects.

Who is Big Data 101 Training for?

Aspiring data analysts and data engineers
IT professionals looking to transition into big data roles
Students and beginners seeking a foundational understanding of big data
Managers and decision-makers interested in leveraging big data for business insights

Available Training Modes

Live Online Training

1 Days

Self-Paced Training

10 Hours

Course Outline Expand All

Expand All

Module 1: Introduction to Big Data

Definition and characteristics of big data (Volume, Velocity, Variety, Veracity, Value)

Evolution of big data and its role in the modern world

Module 2: Big Data Architecture

Overview of big data platforms and tools

Distributed computing and storage systems (Hadoop ecosystem, HDFS)

Module 3: Big Data Processing Technologies

Introduction to data processing frameworks like Apache Spark

Batch vs. real-time data processing

Module 4: Big Data Ecosystem and Tools

Overview of NoSQL databases (MongoDB, Cassandra)

Data visualization tools and their importance

Module 5: Applications of Big Data

Industry use cases: healthcare, finance, retail, and more

Predictive analytics and machine learning with big data

Module 6: Challenges and Future of Big Data

Common challenges in big data projects

Ethical considerations and data privacy

Trends shaping the future of big data

Who is the instructor for this training?

The trainer for this Big Data 101 Training has extensive experience in this domain, including years of experience training & mentoring professionals.

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