Cloudera Training: An Ideal Choice for a Bright Future

Cloudera Training

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Cloudera training will deliver key concepts. Participants will acknowledge about Spark SQL. Cloudera Training in Hyderabad will make you understand every concept in depth. The course will cover the entire concepts and they will learn to execute all the applications. Attendees of the training program will be able to face challenges and they will be able to execute the better decision, interactive analysis, and faster decision. The main agenda with the training module is to make the individual interactive.

Objectives of Training

Practical training on a live cluster will be provided to every attendee. Each session will be interactive and everyone in training will learn the Hadoop ecosystem.

  • Distribute Hadoop Cluster
  • Store Hadoop Cluster
  • Process data
  • Write and Configure Spark Applications
  • Deploy Spark applications
  • How to use Spark Shell for the purpose of interactive data analysis
  • Use Spark SQL for the process as well as query structured data.
  • To process the live data stream via the use of Spark Streaming.

Prerequisites of Cloudera Training

The training module is designed in such a way that engineers and designers who have expertise in programming and in fact, knowledge of Spark and Hadoop are not necessary. In addition, Linux command line is also required. Moreover, basic SQL knowledge is also beneficial during Cloudera training. So, there is no need to worry, if you do not have knowledge of Hadoop.

Course Outline

The training program will include the following outline.

Introduction to Apache Hadoop

  • Introduction to Apache Hadoop
  • Introduction to the Hadoop Ecosystem
  • Overview of Apache Hadoop
  • Data Ingestion
  • Data Storage
  • Data Analysis
  • Data Exploration
  • Data Processing
  • Ecosystem Tools
  • Hand on exercises

Apache Hadoop: File Storage

  • Cluster Components
  • Using HDFS
  • HDFS Architecture

Distributed Processing

  • YARN Working
  • YARN Architecture

Basics of Apache Basics

  • Data Frame Operations
  • How to use Spark Shell
  • APache SPark
  • Datasets and Data Frames

DataFrames Schemas

  • Create DataFrames
  • Save DataFrames
  • DataFrame Schemas
  • Lazy Execution

Analyzing Data

  • Join DataFrames
  • Grouping Queries
  • Aggregation Queries
  • Querying DataFrames

RDD Overview

  • Overview
  • RDD Data Sources
  • Creating RDDs
  • RDD Operations
  • Saving RDDs

Transforming Data (with RDDs)

  • Writing as well as Passing Transformation Functions
  • Conversion Between RDDs and DataFrames
  • Transformation Execution

Aggregating Data with Pair RDDs

  • Map-Reduce
  • Key-Value Pair with RDDs
  • RDD Operations

Other Concepts

  • Parallel Programming with Spark
  • Data Partitioning
  • Spark Caching
  • Spark Caching and Persistence

Taking Cloudera developer training in Hyderabad will help you in boosting your career. Certification will help in differentiating you from others. It will just enhance your expertise and skills.

Attendees will learn how to use a particular concept in a specific situation. One will know how to use the tools. The training module will let them learn about the process to import the data and how to process the data with Spark, Sqoop, Flume, Impala and Hive. Get your knowledge updated with the latest tools and techniques.

Discussion with the instructor will help in clearing all the concepts properly. With Xebia Academy, you can enroll for different certification program. These are as follows:

  • CCA: Spark and Hadoop Developer Certification
  • CCP: Data Engineer Certification

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