Learning big data requires a well-structured roadmap also learning big data is a continuous process. Be patient, practice regularly.
so may this step-by-step guide help you get started and progress.
- Fundamental of Computer Science and Programming Language:
Before Start, ensure you have a understanding of computer science fundamentals and programming languages like Python or Java and Data Structure.
- Knowledge of Databases:
Learn about different types of databases (SQL, NoSQL, etc.).
- Hadoop Ecosystem:
Hadoop ecosystem is a fundamental in big data. Learn about Hadoop Distributed File System (HDFS), MapReduce, and YARN.
- Apache Spark:
Learn how to use Spark for data transformation and processing tasks.
- Learn distributed storage systems:
like Apache HBase, Apache Cassandra, or Amazon S3 for managing large volumes of data.
- Data Ingestion and Streaming:
Learn about data ingestion from various sources, including real-time data streaming using technologies.
- Data Warehousing technologies:
like Apache Hive, Amazon Redshift, or Google BigQuery.
- Cloud Platforms and Big Data Services:
Explore cloud platforms like AWS, Google Cloud, or Azure that offer managed big data services, such as AWS EMR