|Start Date||End Date||No. of Hrs||Time (IST)||Day|
|11 Apr 2020||03 May 2020||24||06:00 PM - 09:00 PM||Sat, Sun|
|25 Apr 2020||17 May 2020||24||06:00 PM - 09:00 PM||Sat, Sun|
Schedule does not suit you, contact us now! | Want to take one-on-one training, contact us now!
Apache Spark is considered as one of the robust open-source framework used to process Big Data. It is developed around the speed and easy to use framework; thus, availing the great analytical results. It allows the applications under the Hadoop clusters to run faster and takes lesser disk space. Scala Apache when integrated with Apache Spark, makes the processing even faster, as it compiles the code rapidly.
The Apache Spark-Scala online training course offered by Multisoft Virtual Academy provides knowledge of the fundamentals and features of the Scala programming language. Also, Apache Spark and Scala online training course let the candidates know about Evolution of Distributed Systems, Limitations of MapReduce in Hadoop, Language Flexibility in Spark, Features of Scala and many more.
After the successful completion of the Apache Spark and Scala online training program, the aspirants can work on the following:
The Apache Spark and Scala online training is best suitable for the following:
After completing the Apache Spark and Scala online training program, participants will receive a training certificate from Multisoft
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The instructor was very knowledgeable and I feel pleased to take this course from Multisoft Virtual Academy, as it developed the good foundation of Hadoop and Big Data concepts
Praveer Gupta, India
It was a wonderful experience taking an instructor-led training by Multisoft Virtual Academy. I have gained more insight into the Big Data domain. My instructor(s) were well-versed in the subject and they were able to answer my questions very well. Also, links to useful resources were provided by the faculty. The training advisor was wonderful in scheduling training time and also doing appropriate follow ups to ensure class sessions were held at the scheduled time.
Abiodun Yusuf, Nigeria