Apache Spark Training Program

Enroll in Zeblearns Apache Spark Training Program to master Apache Spark, the powerful open-source distributed computing framework for processing large-scale data analytics and machine learning tasks. Learn about Spark architecture, RDDs (Resilient Distributed Datasets), DataFrame API, Spark SQL, and Spark MLlib for machine learning. Gain hands-on experience through practical exercises and real-world projects. Prepare for industry-recognized certifications in Apache Spark. Equip yourself with the skills needed to build scalable and efficient data analytics and machine learning applications with Apache Spark. Register now for comprehensive training with Zeblearn.

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Course content

About Apache Spark Training Program

What is Big Data and How it Started

Hadoop Architecture, History, and Evolution

What is Data Lake and How it works

Introducing Apache Spark and Databricks Cloud

Spark Development Environments

Setup your Databricks Community Cloud Environment

Introduction to Databricks Workspace

Create your First Spark Application in Databricks Cloud

Setup your Local Development IDE

Mac Users - Setup your Local Development IDE

Create your First Spark Application using IDE

Source Code and Other Resources

Micro Project - Problem Statement

Introduction to Spark Data Frames

Creating Spark Dataframe

Creating Spark Tables

Common problem with Databricks Community

Working with Spark SQL

Dataframe Transformations and Actions

Applying Transformations

Querying Spark Dataframe

More Dataframe Transformations

Execution Methods - How to Run Spark Programs?

Check your knowledge

Spark Distributed Processing Model - How your program runs?

Spark Execution Modes and Cluster Managers

Check your knowledge

Summarizing Spark Execution Models - When to use What?

Working with PySpark Shell

Installing Multi-Node Spark Cluster

Working with Spark Submit

Creating Spark Project Build Configuration

Configuring Spark Project Application Logs

Check your knowledge

Creating Spark Session

Check your knowledge

Configuring Spark Session

Data Frame Introduction

Data Frame Partitions and Executors

Spark Transformations and Actions

Spark Jobs Stages and Task

Understanding your Execution Plan

Unit Testing Spark Application

Rounding off Summary

Introduction to Spark APIs

Introduction to Spark RDD API

Working with Spark SQL

Spark SQL Engine and Catalyst Optimizer

Spark Data Sources and Sinks

Spark DataFrameReader API

Reading CSV, JSON and Parquet files

Creating Spark DataFrame Schema

Spark DataFrameWriter API

Writing Your Data and Managing Layout

Spark Databases and Tables

Working with Spark SQL Tables

Introduction to Data Transformation

Working with Dataframe Rows

DataFrame Rows and Unit Testing

Dataframe Rows and Unstructured data

Working with Dataframe Columns

Creating and Using UDF

Misc Transformations

Aggregating Dataframes

Grouping Aggregations

Windowing Aggregations

Dataframe Joins and column name ambiguity

Outer Joins in Dataframe

Internals of Spark Join and shuffle

Optimizing your joins

Implementing Bucket Joins

Project Scope and Background

Data Transformation Requirement

Setup your starter project

Test your starter project

Setup your source control and process

Creating your Project CI CD Pipeline

Develop Code

Write Test Cases

Working with Kafka integration

Estimating resources for your application

Why Should You Learn Apache Spark Training?

The annual salary of an Apache Spark is $125k.

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What you will get at Zeblearnindia Learning?

Zeblearnindia Learning is a premier institute offering training in SAP Online Courses, Web Designing, Data Science, Full-Stack Development, Salesforce, Workday, Machine Learning, Software Testing, and Video Editing. With the option to choose between online and offline (classroom) learning, our well-structured courses cater to students, working professionals, business owners, and entrepreneurs. Here’s what you can expect at Zeblearnindia Learning:

Expert-Led Training
Globally Recognized Certifications
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Hands-On Learning
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