Basics of Big Data – Self Paced
Master the fundamentals of Big Data with Hadoop, Spark, Hive, Kafka, NoSQL, ETL, and real-time analytics. Perfect for beginners stepping into data engineering.
Unlock the power of Big Data with this comprehensive course designed to introduce you to the fundamentals of data storage, processing, analytics, and visualization. This Basics of Big Data Training equips learners with the knowledge and practical skills needed to work with Hadoop, Spark, Hive, Kafka, and modern data frameworks used in top industries today.
The course starts with an Introduction to Big Data, covering its characteristics, types, and business importance. You will then explore the Hadoop ecosystem – including HDFS, MapReduce, YARN, and Hadoop utilities – to understand distributed storage and computation.
Next, you’ll deep dive into data storage solutions with SQL, NoSQL, HBase, Cassandra, and Amazon S3, followed by advanced data processing frameworks like Apache Spark, Pig, Hive, and Kafka. Learn about data ingestion and ETL pipelines with Apache NiFi and Flume, and gain expertise in analytics and visualization tools such as Tableau and D3.js.
The course also introduces real-time analytics frameworks like Apache Storm, Flink, Beam, and Apex, preparing you to work on real-time data pipelines. In addition, you’ll understand how cloud computing integrates with Big Data, using services from leading providers like AWS, Azure, and Google Cloud.
By the end of this course, you’ll have a solid foundation in Big Data concepts, tools, and ecosystems, making you ready for data engineering, data analyst, and big data developer roles.
📖 Course Curriculum (Highlights)
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Introduction to Big Data – Characteristics, Types & Use Cases
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Hadoop Ecosystem – HDFS, MapReduce, YARN, Hadoop Utilities
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Data Storage – SQL, NoSQL, HBase, Cassandra, Amazon S3
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Big Data Processing – Spark, Pig, Hive, Kafka
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Data Ingestion & ETL – NiFi, Flume, Data Pipelines
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Data Processing & Analytics – Storm, Flink, Beam
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Data Visualization – Tableau, D3.js, Visualization Tools
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Cloud for Big Data – AWS, Azure, Cloud Storage & Services
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Real-Time Analytics – Architecture, Tools, Apache Apex
🌟 Why Choose This Course?
✔ Learn Big Data fundamentals with hands-on frameworks
✔ Master Hadoop, Spark, Hive, Kafka, and Cassandra
✔ Understand ETL pipelines and real-time data analytics
✔ Work with cloud services for scalable big data solutions
✔ Gain career-ready skills for Big Data Engineer & Analyst roles
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