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Learn Python, NumPy, Pandas, Scikit-learn, HDFS, ZooKeeper, Hive, HBase, NoSQL, Oozie, Flume, Sqoop, Spark, Spark RDD, Spark Streaming, Kafka, SparkR, SparkSQL, MLlib, Regression, Clustering, Classification, SVM, Random Forests, Decision Trees, Dimensionality Reduction, TensorFlow 2, Keras, Convolutional & Recurrent Neural Networks, Autoencoders, and Reinforcement Learning
In this chapter, we learn the basics of Big Data which include various concepts, use-cases and understanding of the eco-system.
This chapter doesn't require any knowledge of programming or technology. We believe it is very useful for every to learn the basics of Big Data. So, jump in!
Learn how to write Spark applications.