Apache Spark is the de-facto standard for large scale data processing. This is the first course of a series of courses towards the IBM Advanced Data Science Specialization. We strongly believe that is is crucial for success to start learning a scalable data science platform since memory and CPU constraints are to most limiting factors when it comes to building advanced machine learning models. In this course we teach you the fundamentals of Apache Spark using python and pyspark. We'll introduce Apache Spark in the first two weeks and learn how to apply it to compute basic exploratory and data pre-processing tasks in the last two weeks.

Chad Steelberg, chairman and chief executive officer of Veritone, commented, "We are very excited about the addition of Atigeo's proprietary machine learning capabilities to our growing body of technology and intellectual property in data science, which is a key area of focus for Veritone… We plan to incorporate portions of Atigeo's technology into Veritone aiWARE, which will further advance our intelligent orchestration of cognitive engines and expand the platform's understanding of all data types. This strategic acquisition will build on our data science foundation and help us further refine our conducted learning in a future where the best cognitive engines can be predictively and immediately selected from thousands of choices and employed to process specific segments of content."

Myself as an interviewer, I would ask questions from this book. The Python examples are good and the code compact which shows great deal of effort. You will need to do your own Googling and research beyond the answers provided, but this book covers the field in sufficient breadth to give you confidence you will do well on an interview.