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The Apache Spark and Scala certification training is designed to prepare you for the Cloudera Hadoop and Spark Developer Certification exam (CCA175). You'll gain in-depth knowledge of Apache Spark and the Spark Ecosystem, including Spark RDD, Spark SQL, Spark MLlib, and Spark Streaming. You will get thorough knowledge about Scala programming language, HDFS, Sqoop, Flume, Spark GraphX and messaging system like Kafka.
ABOUT THE APACHE SPARK AND SCALA ONLINE COURSE
The Apache Spark certification training course is designed to give you the knowledge and skills to become a successful Big Data & Spark developer. This training will help you pass the CCA Spark and Hadoop Developer (CCA175) exam. You will understand the basics of Big Data and Hadoop. You will learn how Spark enables in-memory data processing and runs much faster than Hadoop MapReduce. You will also learn about RDD, Spark SQL for Structured Processing, different APIs offered by Spark like Spark Streaming, Spark MLlib. This course is an integral part of a Big Data developer's career path. It will also cover fundamental concepts like capturing data with Flume, loading data with Sqoop, a messaging system like Kafka, etc.
WHAT ARE THE OBJECTIVES OF OUR SPARK ONLINE TRAINING COURSE?
Spark Certification Training is designed by industry experts to make you a certified Spark developer. The Spark Scala course offers: Overview of Big Data and Hadoop including HDFS (Hadoop Distributed File System), YARN (Another Resource Negotiator) Comprehensive knowledge of various tools found in the Spark ecosystem such as Spark SQL, Spark MlLib , Sqoop, Kafka, Flume, and Spark Streaming The ability to ingest data into HDFS using Sqoop & Flume, and parse those large data sets stored in HDFS The power to handle data in real time via a publish message system -subscription as Kafka Exposure to many real-life industries. based projects to be executed using Edureka's CloudLab projects which are diverse in nature spanning banking, telecommunications, social media,
INTRODUCTION TO BIG DATA HADOOP AND SPARK. Learning Objectives: Understand Big Data and its components, such as HDFS. You will learn about Hadoop Cluster Architecture, Introduction to Spark, and the difference between batch processing and real-time processing. Topics: What is Big Data? Big Data Customer Scenarios Limitations and Workarounds of Existing Data Analytics Architecture with Uber Use Case How Does Hadoop Solve the Big Data Problem? What is Hadoop? Preview Key Features of Hadoop Hadoop Ecosystem and HDFS Main Components of Hadoop Knowledge of Rack and Block Replication YARN and its Advantage Hadoop Cluster and its Architecture Hadoop: Different Cluster Modes Hadoop Terminal Commands Preview Big Data Analysis with Processing by batch and real-time Why do you need Spark? What is the spark? How does Spark differ from other frameworks? Spark on Yahoo!
INTRODUCTION TO SCALA FOR APACHE SPARK . Learning Objectives: Learn the basics of Scala required to program Spark applications. You will also learn about basic Scala constructs such as variable types, control structures, collections such as Array, ArrayBuffer, Map, Lists, and many more. Topics: What is Scala? Preview Why Scala for Spark? Scala in other frameworks Introduction to Scala REPL Basic Scala operations Variable types in Scala control structures in Scala Preview Foreach loop, collections of functions and procedures in Scala- Array ArrayBuffer, Map, Tuples, Lists and more Practical: Scala REPL Demo detailed Get detailed curriculum in your inbox Download Curriculum
FUNCTIONAL PROGRAMMING AND CONCEPTS OF OOP IN SCALA. Learning Objectives: In this module, you will learn about object-oriented programming and functional programming techniques in Scala. Topics: Functional Programming Higher Order Functions Anonymous Functions Class in Scala Preview Getters and Setters Properties of Custom Getters and Setters with Getters Helper and Primary Constructor Singletons Extending a Class Preview Override Methods Traits as Interfaces and Traits Layered Practical: Concepts of OOPs Functional Programming. Click on the "go to course" button to learn more details at edureka!
DEEP DIVE INTO APACHE SPARK FRAMEWORK. Learning Objectives: Understand Apache Spark and learn how to develop Spark applications. In the end, you will learn how to perform data ingestion using Sqoop. Topics: Spark's place in the Hadoop ecosystem Spark components and architecture Preview Spark deployment modes Introduction to Spark Shell Write your first Spark job using SBT Submit Spark UI data ingestion Job Spark Web Using Sqoop Hands-On Preview: Building and Running the Spark Application Spark Web Application UI Configuring Spark Properties Data Ingestion Using Sqoop . Click on the "go to course" button to learn more details at edureka!
Instructor-led sessions will address all your concerns in real time.
Unlimited access to the course's online learning repository.
Develop a project with live accompaniment, based on any of the cases seen
In each class you will have practical tasks that will help you apply the concepts taught.
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