Learn AWS Glue using PySpark by doing

by

Guvi

Excel at AWS Glue with PySpark as a programming language and learn how to use it for processing vast amounts of data along with deploying software applications in the AWS ecosystem with this comprehensive certification course.

₹ 1799.00

₹ 2000.00

10.05% Discount

#1

See all ranking

Learn AWS Glue using PySpark by doing

by

Guvi

₹ 1799.00

₹ 2000.00

10.05% Discount

#1

See all ranking

2 Modules

with Certifications

7+ Hours

of Recorded Content

4.56 Rated

by 2434 Learners

English

Language

2 Modules

with Certifications

7 + Hours

of Recorded Content

4.56 Rated

by 2434Learners

Read all Reviews

English

Language

About

Key Features

Content

FAQs

What's in it for You?

This AWS Glue course by GUVI will teach all of its core concepts and how to efficiently work with them through in-depth learning sessions designed and taught by industry experts with vast amounts of experience. Throughout the course, you will learn about the AWS architecture and its importance, work with several AWS tools and services, and also deploy many Python, Java, and PHP applications within the AWS ecosystem as a part of the real-world projects associated with the curriculum. After this course, you will gain a globally recognized certificate indicating your job readiness.

Key Features:

Globally Recognised Certification

100% online and Self-paced learning

Full lifetime access to all content

Access to 4 Gamified Practise Platforms

Dedicated Forum Support to clear all your doubts

7 Days refund Policy

Topics you will learn

Beginner Module
- - Section 1 - Introduction to the Course
- - Section 2 - Python Basics - Introduction - Overview IDE installation
- - Section 2 - Python Basics - Introduction - Variables, Namespaces, Datatypes, Find the type, type Conversion
- - Section 2 - Python Basics - Introduction - Import & Operators
- - Section 2 - Python Basics - Flow Control - if-else, for loop
- - Section 2 - Python Basics - Flow control - while loop, break, continue
- - Section 2 - Python Basics - Functions - Functions & Function Arguments
- - Section 2 - Python Basics - Functions - Anonymous Function & Modules
- - Section 2a - Python Basics - Datatypes - List & Tuple
- - Section 2b - Python Basics - Datatypes - List & Tuple
- - Section 2a - Python Basics - Datatypes - Set & Dictionary
- - Section 2b - Python Basics - Datatypes - Set & Dictionary
- - Section 2a - Python Basics - Exception - Exception Handling & User Defined exceptions
- - Section 2b - Python Basics - Exception - Exception Handling & User Defined exceptions
Intermediate Module
- - Section 3 - PySpark - Introduction to Spark
- - Section 3 - Pyspark - Spark Architecture
- - Section 3 - Pyspark - API's In Pyspark
- - Section 3- Pyspark - Databricks Set up
- - Section 3 -Pyspark - Load Data Inside Data Bricks
- - Section3 - Pyspark - DataFrame Basics Part 1
- - Section 3 - Pyspark - DataFrame Basics Part 2
- - Section3 - Pyspark- Working With Columns
- - Section3- Pyspark - Filter
- - Section3 - Pyspark - Sorting
- - Section3 - Pyspark - Aggregate Operations in DataFrame
- - Section 3- Pyspark - Join
- - Section 4 - AWS Glue - Introduction
- - Section 4 - AWS Glue - Architecture on populating Glue Catalog
- - Section 4- AWS Glue - Loading Data in S3
- - Section 4 - AWS Glue - Setting up Crawlers
- - Section 4 - AWS Glue - Using Athena to Query the Data Catalog
- - Section 4 - AWS Glue - Automate DataCatalog Refresh using Lambda
- - Section 5 - AWS Glue - Authoring Jobs using Python shell in AWS Glue Part 1
- - Section 5 -AWS Glue - Authoring Jobs using Python shell in AWS Glue Part 2
- - Section 5 - AWS Glue - Authoring Jobs using pyspark (Script authored by us) - Part 1
- - Section 5 - AWS Glue - Authoring Jobs using pyspark (Script authored by us) - Part 2
- - Section 5 - AWS Glue - Authoring Jobs using pyspark (Autogenerated by Glue )
- - Section 6 - AWS Glue Monitoring ,Triggers and debugging - Setting up Triggers for Glue Jobs
- - Section 6 - AWS Glue Monitoring ,Triggers and debugging - Setting up Monitoring and Calculate number of DPUs
- - Section 6 - AWS Glue Monitoring ,Triggers and debugging - Setting up Endpoint for debugging Glue jobs
- - Section 6 - AWS Glue Monitoring ,Triggers and debugging - Using Zeppelin notebook to debug Glue Jobs

Course Offerings

Certificate you will get

IITM Pravartak certified Python certification.

Certificates are globally recognized & they upgrade your programming profile.

Certificates are generated after the completion of course.

After this Course

Have a strong understanding of core AWS concepts and how to work with them.

Learn about the AWS architecture and how it functions.

Write professional PySpark code with ease.

Learn various techniques to develop AWS Glue using PySpark.

Be able to work with several AWS tools and services.

Deploy real-world Python, Java, and PHP applications within the AWS ecosystem and build a lucrative portfolio of projects.

Pre Requsites

An interest in learning about the AWS environment and AWS Glue.

Basic coding knowledge is appreciated.

Course is for

Freshers

Professionals

Students

FAQ's

What is AWS glue?

AWS Glue is a serverless data integration cloud service that prepares data for analysis and makes it easier for analytics users to process data through automated extract, transform, and load processes. It allows users to effectively discover, move and integrate data from multiple sources and provides an inexpensive method for managing Big Data in enterprises. AWS Glue is majorly used for analytics, application development, and machine learning.
How AWS glue works?

AWS Glue makes use of various AWS services in order to perform your ETL (extract, transform, and load) jobs that help in building data lakes, data warehouses, and generating output streams. So that you can transform data, store job logic, create runtime logs, and create notifications to help you monitor your job runs AWS Glue calls API operations.
What are the benefits of learning AWS Glue?

AWS Glue is a serverless data integration cloud service that makes data preparation quicker, simpler, and inexpensive. It helps you discover and connect with over 70 diversified data sources, manage the data in a centralized catalog, and create as well as run ETL (extract, transform, and load) pipelines to load data into your data warehouses or data lakes. It makes analytics much simpler and easier to perform.
Why learn AWS Glue?

AWS Glue is a very beneficial skill to have in the tech world, especially for data and business analysts, data scientists, data engineers, and also software developers. And this is because AWS Glue makes it much simpler and easier to extract, transform, and load data from multiple sources into data lakes or warehouses in order to perform analytics, application development, and machine learning (ML).
Why learn the AWS Glue course from GUVI?

The AWS Glue certification course by GUVI has been curated and taught by industry experts with years of experience in the tech industry, it is completely self-paced and you earn a globally recognized, job-ready certificate upon its completion. With this course, you will be able to master all the core concepts pertaining to AWS Glue such as the AWS architecture, PySpark, AWS tools, and services, as well as learn how to deploy various Python, Java, and PHP applications within the AWS ecosystem.