Apache Spark and Scala Certification Training is mainly designed for Big Data Developers to program in Apache Scala and to use RDD in Apache Spark for creating an application. This certification helps you to wrap your head around Apache Spark and Scala to become a specialist in Big Data and helps you to have hands-on experience on real-time projects.
|Jul 25||Sat,Sun (9 Weeks) Weekend Batch||01:30 AM 03:30 AM|
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Spark and Scala Training Overview:
StepLeaf’s Apache Spark and Scala Certification Training course helps you to gain skills to develop solutions for Apache Spark platform. It elaborates the effective use of memory and powerful programming model. You will learn more about Apache Spark Internals, Spark SQL, RDD, MLib and GraphX.
What will you learn in the Apache Spark and Scala Certification Training?
Who should take up this Apache Spark and Scala Certification Training?
Spark is the hottest technology in the current scenario. A Big Data professional or anyone from the software genre can take up this course.
What are the prerequisites for this Apache Spark and Scala Certification Training
There is no special qualification necessary to join the Apache Spark and Scala training but little SQL knowledge will help you to speed up your learning.
Why should you take up this Apache Spark and Scala Certification Training?
Apache Spark is a fascination platform for its ability to store data with high speed machine learning. It helps you to pace up with Growing Enterprise Adoption. Spark developers are in high demand, such that even companies are ready to bend their requirements.
scala, patternmatching, scalacodeexecution, classes, traits, scala–javainteroperability, scalacollections, mutablecollectionsvs.immutablecollections, bobsrocketspackage, spark, rddsinspark
Introducing Scala, deployment of Scala for Big Data applications and Apache Spark analytics, Scala REPL, Lazy Values, Control Structures in Scala, Directed Acyclic Graph (DAG), First Spark Application Using SBT/Eclipse, Spark Web UI and Spark in Hadoop Ecosystem.
Introduction to Spark Streaming, features of Spark Streaming, Spark Streaming workflow, initializing StreamingContext, Discretized Streams (DStreams), Input DStreams and Receivers, transformations on DStreams, Output Operations on DStreams, Windowed Operators and why it is useful, important Windowed Operators and Stateful Operators
Hands-on Exercise: Twitter Sentiment Analysis, streaming using netcat server, Kafka–Spark Streaming and Spark–Flume Streaming
Structure your learning and get a certificate to prove it.
In a retail store, to analyze the most purchased product we try to deploy Apache Spark. You will have practical experience in working with collaborative filtering, regression, clustering and dimensionality reduction in MLlib. At the end of the course you will be able to work with streaming data, testing and statistics.
This project will help you to explore more about data using Spark SQL. You will be using Spark SQL with ETL application, batch analysis, analysis of data, deploying Machine Learning(ML) and processing of graphs.
In this process you will be able to analyze each tweet on twitter. The data is available in JSON format and you have to aggregate, filter and parse to analyze the tweets.
Apache Spark Certification
This course is designed for clearing the Apache Spark component of the Cloudera Spark and Hadoop Developer Certification (CCA175) exam. Check our Hadoop training course for gaining proficiency in the Hadoop component of the CCA175 exam. The complete course is created by industry experts for professionals to get top jobs in the best organizations. The entire training includes real-world projects and case studies that are highly valuable.
Upon the completion of the training, you will have quizzes that will help you prepare for the CCA175 certification exam and score top marks.
The StepLeaf certification is awarded upon successfully completing the project work and after its review by experts.
StepLeaf uses a blended learning technique which consists of auditory, visual, hands-on and much more technique at the same time. We assess both students and instructors to make sure that no one falls short of the course goal.