How do you learn big data?

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 My cousin is a big data analyst. I would like to suggest the roadmap that she followed to become an expert in this field and you would not believe that she just did it in 6 months. Here, I will tell you her 6-month strategy which will help you a lot.

But the first and foremost thing I would like to tell you is don't try to learn everything at once. Just focus on the fundamentals and gradually expand your knowledge.

Now, I will tell you the complete roadmap to achieve your goal:

Month 1: Build your foundation

Data Fundamentals:

  • Understand basic data structures, types, and formats.
  • Learn about data storage, processing, and analysis.
  • Programming Basics:
  • Start learning Python or Java.
  • Master basic syntax, data types, and control structures.
  • Database Concepts:
  • Gain familiarity with relational databases.
  • Learn SQL for querying and manipulating data.

Month 2: Understand the fundamentals of Big Data

Big Data Concepts:

  • Dive into volume, velocity, variety, and veracity.
  • Understand why traditional methods fall short.
  • Distributed Computing:
  • Explore Hadoop and Apache Spark.
  • Learn about parallel processing and fault tolerance.
  • Big Data Streaming and NoSQL:
  • Understand real-time data processing.
  • Explore NoSQL databases like MongoDB and Cassandra.

Month 3: Hands-on Practice & Exploration

Practical Exercises:

  • Engage in coding challenges and small projects.
  • Apply programming and database skills to real-world scenarios.
  • Dataset Exploration:
  • Work with sample datasets to understand data manipulation.
  • Experiment with data cleaning, transformation, and analysis.

Month 4: Deepen Your Knowledge

Advanced Topics:

  • Dive deeper into machine learning algorithms.
  • Learn optimization techniques for distributed computing.

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