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What is Big Data Analytics
Introduction to Hive and Kafka
Introduction to Spark
Introduction to Spark Data Processing, Data Streams and Machine Learning
Hadoop Ecosystem
Introduction to NoSQL
Spark Resilient Distributed Datasets (RDD)
Data generation is growing at a significant rate and is used by enterprises for gathering new insights, better decision-making and improving business processes. Hence, the creation of practitioners and researchers with industry knowledge of advanced concepts of data analytics is the need of the day. According to a report published by Allied Market Research, the global big data and business analytics market size was valued at US$171.39 billion in 2018, and is projected to reach US$512.04 billion by 2026, growing at a Compound Annual Growth Rate (CAGR) of 14.80% from 2019 to 2026. Big Data Analytics - Advanced course will provide the understanding of data analytics concepts, hands-on training on various tools and frameworks in data analytics, experience in developing real-world applications and deploying them in public cloud. Hands-On Students need to perform hands-on assignments using AWS Cloud environment. The above mentioned hands-on configuration will be leveraged by the students to complete the industry assignment as well as to complete Part B of the summative assessment.
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