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SPARK Using Scala And Python, Machine learning, Natural Language Processing

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Course offered by Rakesh Pattanaik

1 review

This training will help you to learn Spark from the ground up, starting with its history till the advanced level understanding of Real Time Analysis on data for data driven business. We will discuss on the core knowledge of SPARK which will make the things easier to look into Spark's other libraries, such as the streaming , SQL APIs and Spark Machine Learning. Finally, you will leave this course with a tool belt capable of creating your own performance-maximized Spark application. This training will help you to learn Spark from the ground up, starting with its history till the advanced level understanding of Real Time Analysis on data for data driven business. We will discuss on the core knowledge of SPARK which will make the things easier to look into Spark's other libraries, such as the streaming ,SQL APIs and Spark Machine Learning. Finally, you will leave this course with a tool belt capable of creating your own performance-maximized Spark application.

About the Trainer

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1 Avg Rating

1 Reviews

1 Students

3 Courses

Rakesh Pattanaik

M Tech

3 Years of Experience

She is a Data Scientist by profession. Currently she is an Assistant Manager Analytics at GENPACT. She has done her Masters in Data Science from IIIT.
She describes herself as a Data Scientist with an ability to leverage a heavy dose of Machine Learning Techniques to mine hidden gems located within large sets of structured, semi structured and unstructured data
Below are her Technical Expertise:
• Machine Learning
• Big Data Analytics(Spark,Hadoop,Sqoop)
• Language(Scala,R,Python,Java)
• Visualization (Tableau, Zeppelin)
• Streaming Analytics(Strom,Kafka)
• Natural language processing(NLP)
• No SQL Data Bases (Cassandra,Hbase,Impala)
• Data Mining (Weka,SVMLight,Matlab)

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