Online or onsite, instructor-led live PySpark training courses demonstrate through hands-on practice how to use Python and Spark together to analyze big data.
PySpark training is available as "online live training" or "onsite live training". Online live training (aka "remote live training") is carried out by way of an interactive, remote desktop. Reading onsite live PySpark trainings can be carried out locally on customer premises or in NobleProg corporate training centers.
NobleProg -- Your Local Training Provider
Reading
400 Thames Valley Park Drive, Reading, united kingdom, RG6 1PT
The Thames Valley Park business centre is in a prestigious, modern 200-acre business park and nature reserve idyllically posi...
The Thames Valley Park business centre is in a prestigious, modern 200-acre business park and nature reserve idyllically positioned close to the south bank of the River Thames on the east side of Reading. The city has a significant historical involvement in the information technology industry and this attractive and highly sought-after location is home to an impressive array of well-known information technology companies. It is the UK headquarters for a world-leading software giant as well as a number of other household names providing infrastructure services, consulting, e-commerce and computer hardware. Other major businesses based here work in industries ranging from energy to financial services. Close to junction 10 of the M4 motorway, the park is easily accessible by road with a free shuttle bus service to the city's business centre and station, both of which can also be reached by taking a peaceful 15-minute walk along the river.
In this instructor-led, live training in Reading, participants will learn how to use Python and Spark together to analyze big data as they work on hands-on exercises.
By the end of this training, participants will be able to:
Learn how to use Spark with Python to analyze Big Data.
Work on exercises that mimic real world cases.
Use different tools and techniques for big data analysis using PySpark.
Read more...
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Testimonials (1)
I liked that it was practical. Loved to apply the theoretical knowledge with practical examples.
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