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- This is a primer on functional-programming-style techniques to help you efficiently process and analyze all of your data
- Get acquainted with the best and newest tools available such as Scala, Spark, Parquet and MLlib for machine learning
- Learn the best practices to incorporate new Big Data machine learning in your data-driven enterprise to gain future scalability and maintainability
- Sharpen your functional programming skills in Scala using REPL
- Apply standard and advanced machine learning techniques using Scala
- Get acquainted with Big Data technologies and grasp why we need a functional approach to Big Data
- Discover new data structures, algorithms, approaches, and habits that will allow you to work effectively with large amounts of data
- Understand the principles of supervised and unsupervised learning in machine learning
- Work with unstructured data and serialize it using Kryo, Protobuf, Avro, and AvroParquet
- Construct reliable and robust data pipelines and manage data in a data-driven enterprise
- Implement scalable model monitoring and alerts with Scala
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