Big Data Analytics

Advanced Big Data – Self Paced

Advance your career with Big Data Engineering, Spark, Hadoop, NoSQL, Machine Learning, and Cloud Integration. Designed for learners who want to go beyond basics and master real-world Big Data applications.

Take your Big Data expertise to the next level with our Advanced Big Data Training, designed for learners who already understand the basics and want to master distributed computing, real-time analytics, data engineering, and machine learning with Big Data tools.

This course begins with an overview of Big Data concepts and use cases, then dives into distributed systems and Hadoop, including HDFS and MapReduce. You’ll work with SQL and NoSQL databases such as HBase and Cassandra for efficient data storage and retrieval.

Next, explore advanced data processing frameworks like Apache Spark, covering RDDs, DataFrames, Spark Streaming, MLlib for machine learning, and GraphX for graph processing. Learn data transformation techniques using Pig, Hive, and Spark while mastering data pipelines and ingestion workflows essential for data engineering.

The course also covers data visualization tools, advanced Big Data ecosystem components, and distributed computing concepts with Hadoop and Spark. You’ll gain skills in machine learning and deep learning with Spark, Big Data analytics for business intelligence, and cloud-based Big Data solutions with AWS, Azure, and Google Cloud.

Finally, you’ll understand the critical aspects of Big Data security, governance, and compliance frameworks to prepare you for real-world enterprise environments.

By the end of this program, you will be equipped with job-ready skills in Big Data Engineering, Data Analytics, Cloud Integration, and Machine Learning with Big Data, making you highly competitive in the global job market.

📖 Course Curriculum (Highlights)

Big Data – Concepts, Types & Use Cases
Distributed Systems & Hadoop – HDFS, MapReduce
Data Storage – SQL, NoSQL, HBase, Cassandra
Data Processing – Spark RDDs, DataFrames, Streaming
Data Visualization – Tableau, Visualization Tools
Data Transformation – Pig, Hive, Spark Processing
Advanced Data Processing – MLlib, GraphX, MapReduce
Big Data Ecosystem – Hadoop & Spark Ecosystem Tools
Data Engineering – Pipelines, Ingestion, Retrieval
Distributed Computing – Hadoop & Spark Frameworks
Data Science & Machine Learning with Spark
Big Data Analytics & Business Intelligence
Cloud & Big Data – AWS, Azure, Google Cloud
Big Data Security & Governance

🌟 Why Enroll in This Course?

✔ Gain hands-on experience with Hadoop, Spark, Hive, Pig & Kafka
✔ Master data engineering pipelines and distributed computing
✔ Learn machine learning & deep learning with Big Data frameworks
✔ Work with cloud-based Big Data solutions (AWS, Azure, GCP)
✔ Become industry-ready for Big Data Engineer, Data Scientist, and Cloud Data Specialist roles