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Hands-on Big Data Practices and Use Cases using PySpark
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In this course, students will be provided with hands-on PySpark practices using real case studies from academia and industry to be able to work interactively with massive data. In addition, students will consider distributed processing challenges within big data processing. We designed this course for anyone seeking to master Spark and PySpark and Spread the knowledge of Big Data Analytics using real and challenging use cases.
By the end of the course, you will be able to build advanced Big Data applications for different types of data (volume, variety, veracity) and you will get acquainted with best-in-class examples of Big Data problems using PySpark.
Discount Coupons (~75%):
For SEPTEMBER 2023: AMIN_SEPTEMBER2023
For OCTOBER 2023: AMIN_OCTOBER2023
For NOVEMBER 2023: AMIN_NOVEMBER2023
For DECEMBER 2023: AMIN_DECEMBER2023
For JANUARY 2024: AMIN_JANUARY2024
and so on.
In this course, students will be provided with hands-on PySpark practices using real case studies from academia and industry to be able to work interactively with massive data. In addition, students will consider distributed processing challenges within big data processing. We designed this course for anyone seeking to master Spark and PySpark and Spread the knowledge of Big Data Analytics using real and challenging use cases.
By the end of the course, you will be able to build advanced Big Data applications for different types of data (volume, variety, veracity) and you will get acquainted with best-in-class examples of Big Data problems using PySpark.
Discount Coupons (~75%):
For SEPTEMBER 2023: AMIN_SEPTEMBER2023
For OCTOBER 2023: AMIN_OCTOBER2023
For NOVEMBER 2023: AMIN_NOVEMBER2023
For DECEMBER 2023: AMIN_DECEMBER2023
For JANUARY 2024: AMIN_JANUARY2024
and so on.
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