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Best Big Data Hadoop Spark Scala training institute Noida- Webtrackker brings you training in Spark Scala. We offer full courses in Spark Scala through which we train students. Now you can attend these courses in the cities of Delhi, Noida, and Ghaziabad.
NodeJS training courses at Webtrackker range from the basic beginner’s to the advanced professional level. All our Hadoop Spark Scala training course instructors are from the industry and highly experienced, who ensure that you take home with you all the practical knowledge required to aid you in your professional career.
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These NodeJS courses features in-class training, supportive learning environment, industry-certified trainers and up-to-date syllabus. Webtrackker provides you state-of-the-art PC workstations to facilitate advanced learning.
Webtrackker gives special attention to your specific needs regarding NodeJS training courses making even technical education a fulfilling experience. Moreover, if you are not content with whatever you have learned in the length of the publically scheduled NodeJS training coursework and think that you cannot put it to practical application still, we offer you free of charge retake of the sessions, within 6 months of your first day of training.
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There are 3 NodeJS training courses offered which defines the level of grip Webtrackker provides you over the subject matter. These NodeJS training courses are designed to get you up to date as swiftly as possible. Whether you are a professional creative designer or a new user, Webtrackker has got it all to gear you up to use NodeJS like you know it by heart. If you are looking for Hadoop Spark Scala classes in delhi, meerut, ghaziabad, noida sector 643, 64, 65, 2, 3, 5, 15, 18 then please contact to us.
|Introduction to Spark||Limitations of MapReduce in Hadoop Objectives, Batch vs. Real-time analytics, Application of stream processing, How to install Spark, Spark vs. Hadoop Eco-system|
|Introduction to Programming in Scala||Features of Scala, Basic data types and literals used, List the operators and methods used in Scala, Concepts of Scala|
|Using RDD for Creating Applications in Spark||Features of RDDs, How to create RDDs, RDD operations and methods, How to run a Spark project with SBT, Explain RDD functions and describe how to write different codes in Scala|
|Running SQL queries Using SparkSQL||Explain the importance and features of SparkSQL, Describe methods to convert RDDs to DataFrames, Explain concepts of SparkSQL, Describe the concept of hive integration|
|Spark Streaming||Explain a concepts of Spark Streaming, Describe basic and advanced sources, Explain how stateful operations work, Explain window and join operations|
|Spark ML Programming||Explain the use cases and techniques of Machine Learning (ML), Describe the key concepts of Spark ML, Explain the concept of an ML Dataset, and ML algorithm, model selection via cross validation|
|Spark GraphX Programming||Explain the key concepts of Spark GraphX programming, Limitations of the Graph Parallel system, Describe the operations with a graph, Graph system optimizations|