Learn Hadoop and Azure HDInsight basics this evening in 2 hr from Udemy

Expected Outcomes

Hadoop Basics

You will learn a fundamental understanding of the Hadoop Ecosystem and 3 main building blocks.
This module will prepare you to start learning Big Data in Azure Cloud using HDInsight.

Microsoft Azure HDInsight

You will learn what are the challenges with Hadoop and how HDInsight solves these challenges.
You will also learn Cluster types, HDInsight Architecture, and other important aspects of Azure HDInsight.
You will also go through demo where we’ll fetch data from Data Lake, process it through Hive, and later will store data in SQL Server.
We will understand how HDInsight makes Hadoop easy, and we will go through simple demo where we’ll fetch data from Data Lake, process it through Hive, and later will store data in SQL Server.

Intended Audience

Beginners in Microsoft Azure Platform
Microsoft Azure Data Engineers
Microsoft Azure Data Scientist
Database and BI developers
Database Administrators
Data Analyst or similar profiles
On-Premises Database related profiles who want to learn how to implement Hadoop components in Azure Cloud.
Anyone who is looking forward to starting his career as an Azure Data Engineer.

Level

Beginners (100)
"if you are already experienced and working on these technologies, this may not be the best course for you."

Prerequisites

Basic T-SQL and Database concepts

Language

English
If you are not comfortable in English, please do not take a course, captions are not good enough to understand the course.

What's inside

Video lectures, PPTs, Demo Resources, Quiz, Assignment, other important links
Full lifetime access with all future updates
Certificate of course completion
30-Day Money-Back Guarantee

Some students Feedback

One of the most amazing courses i have ever taken on Udemy. Please don't hesitate to take this course. The instructor is really professional and has a great experience about the subject of the course. - Khadija Badary
Very nicely explained most of the concepts. a must have course for beginners - Manoranjan Swain
I appreciate this course explaining everything in great detail for a beginner. This will assist me in overcoming challenges at my work - Benjamin Curtis
Good course for Beginners. Labs are really helpful to grasp the concept. Thank you - Sapna

What's inside

Syllabus

Introduction

Azure Cloud Computing Basics

Create Azure Free subscription

Azure Portal Overview

Traffic lights

Read about what's good

what should give you pause

and possible dealbreakers

Provides a foundational understanding of Hadoop and Azure HDInsight, which is beneficial for those starting their journey in big data and cloud computing, especially within the Azure ecosystem

Includes a demo that showcases data fetching from Data Lake, processing via Hive, and storage in SQL Server, offering practical insights into real-world data workflows

Requires basic T-SQL and database concepts, which may pose a challenge for absolute beginners with no prior experience in database technologies

Covers Azure services overview, resource management groups, and tagging, which are essential skills for managing resources effectively in the Azure cloud environment

Explores the challenges associated with Hadoop and demonstrates how HDInsight simplifies these complexities, making it easier for users to work with big data in Azure

Reviews summary

Beginner introduction to hadoop and azure hdinsight

According to learners, this course provides a great introduction to Hadoop and Azure HDInsight basics (positive). Students consistently praise the clarity of explanations (positive) and find the demonstrations (positive) particularly helpful for grasping concepts (positive). It is frequently described as a solid starting point (positive) for those new to big data and Azure, fitting its stated goal as a beginner-level course (positive). Reviewers appreciate that it's a concise and quick overview (positive) that effectively covers the necessary fundamentals within a short timeframe, living up to its '2 hr' promise. While it lays a good foundation (neutral), it's important to note that it's not an in-depth course (neutral) and won't cover advanced topics. A few reviews mention that some specific details in the Azure portal might be slightly outdated (warning) since the course was recorded, but the core concepts remain valuable.

Lays a good foundation but does not cover advanced topics.

"This course is a solid introduction... It is not an in-depth course but is a good starting point..."

"Provides foundational concepts of Hadoop and HDInsight. Does not go too deep into either subject."

"A good foundation to start the big data journey in Azure... But definitely not an in-depth course."

Provides a fast, high-level introduction in a short time.

"A concise but complete course to get an understanding of Hadoop and HDInsight in Azure."

"The course is perfect for a 2hr introduction to Hadoop and Azure HDInsight."

"Very quick overview of the basics of Hadoop and HDInsight."

Concepts are explained clearly with practical demonstrations.

"Demos are really helpful to grasp the concept. Thank you"

"Concepts are explained very clearly and precisely. Demonstrations are very useful to understand the real picture."

"The way concepts are explained is awesome. Demos are also good."

An excellent starting point for those new to the subject.

"Great course for beginners wanting to get an overview of Hadoop and HDInsight on Azure. I would highly recommend this course."

"This course is a solid introduction to HDInsight. It is not an in-depth course but is a good starting point for beginners."

"The course is good for people who are completely new to big data and azure data concepts."

Some aspects may be slightly outdated due to cloud updates.

"It gives basic overview of the topic, but since it's from 2020 some things have changed in azure."

"This is a good beginner course. There are some small changes in the portal from when this course was created."

"Good basic course, but some things have changed since the video was recorded."

Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Learn Hadoop and Azure HDInsight basics this evening in 2 hr with these activities:

Review Basic T-SQL Concepts

Show steps

Strengthen your understanding of T-SQL to better grasp the Hive queries used in HDInsight for data processing.

Browse courses on T-SQL

Show steps

Review T-SQL syntax and common commands.
Practice writing basic queries.
Familiarize yourself with database concepts.

Brush up on Cloud Computing Basics

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Revisit fundamental cloud computing concepts to better understand Azure HDInsight's role in the cloud ecosystem.

Browse courses on Cloud Computing

Show steps

Review the different cloud service models.
Understand the benefits of cloud computing.
Familiarize yourself with Azure services.

Read 'Hadoop: The Definitive Guide'

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Gain a deeper understanding of Hadoop fundamentals by reading a comprehensive guide.

View Hadoop: The Definitive Guide: Storage and... on Amazon

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Read the chapters on HDFS and MapReduce.
Explore the Hadoop ecosystem components.
Take notes on key concepts and terminology.

Four other activities

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Show all seven activities

Follow Azure HDInsight Quickstart Tutorials

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Work through Microsoft's official quickstart tutorials to gain hands-on experience with creating and using HDInsight clusters.

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Create an HDInsight cluster using the Azure portal.
Run sample Hive queries on the cluster.
Explore the HDInsight user interface.

Create a Blog Post on HDInsight Use Cases

Show steps

Solidify your understanding of HDInsight by researching and writing a blog post about its various use cases in data processing and analytics.

Show steps

Research different HDInsight use cases.
Outline the blog post with key sections.
Write the blog post with clear explanations.
Publish the blog post on a platform like Medium.

Build a Data Pipeline with HDInsight

Show steps

Apply your knowledge by building a simple data pipeline using HDInsight to process and analyze a sample dataset.

Show steps

Choose a sample dataset from a public source.
Create an HDInsight cluster with appropriate components.
Ingest the data into Azure Data Lake Storage Gen2.
Use Hive to process and transform the data.
Store the processed data in Azure SQL Server.

Read 'Azure Data Lake Storage Gen2: The Definitive Guide'

Show steps

Gain a deeper understanding of Azure Data Lake Storage Gen2 fundamentals by reading a comprehensive guide.

View Putting Knowledge to Work on Amazon

Show steps

Read the chapters on Azure Data Lake Storage Gen2 architecture.
Explore the Azure Data Lake Storage Gen2 ecosystem components.
Take notes on key concepts and terminology.

Career center

Learners who complete Learn Hadoop and Azure HDInsight basics this evening in 2 hr will develop knowledge and skills that may be useful to these careers:

Cloud Data Engineer

A cloud data engineer specializes in building and maintaining data pipelines and infrastructure in the cloud. Anyone wanting to be a cloud data engineer may find that this course gives a targeted introduction specifically to Hadoop and HDInsight within the Microsoft Azure platform. The course offers the fundamentals of Hadoop and explores how HDInsight addresses the challenges associated with Hadoop. The practical demo, which includes fetching data from Data Lake, processing it through Hive, and storing it in SQL Server, mirrors the work that a cloud data engineer performs.

See salaries and explore the career path for Cloud Data Engineer

Data Engineer

A data engineer designs, builds, and maintains the infrastructure that allows organizations to collect, store, process, and analyze large volumes of data. This course helps build a foundation in essential big data technologies, specifically Hadoop and Azure HDInsight. Learning the fundamentals of the Hadoop ecosystem, as well as how HDInsight simplifies Hadoop, is directly applicable to the tasks a data engineer performs daily in managing and optimizing data pipelines. Understanding cluster types and architectures within HDInsight is also useful. The hands-on demo, which covers data ingestion from Data Lake, processing with Hive, and storage in SQL Server, mirrors real-world data engineering workflows. Anyone aspiring to become a data engineer may benefit from this course.

See salaries and explore the career path for Data Engineer

Data Scientist

Data scientists analyze complex data sets to extract meaningful insights and develop data-driven solutions. A data scientist should consider learning the basics of Hadoop and Azure HDInsight, since they are widely used for processing large datasets. Understanding the Hadoop ecosystem and how HDInsight simplifies Hadoop allows you to efficiently process data and perform complex analyses. The course offers hands-on experience with data ingestion, processing with Hive, and storage in SQL Server, which mirrors the data science workflow. Understanding how HDInsight makes Hadoop easier to manage can improve efficiency.

See salaries and explore the career path for Data Scientist

ETL Developer

An extract, transform, load developer designs, develops, and maintains ETL processes for data warehousing. This course can improve an ETL developer's understanding of how to integrate Hadoop and HDInsight into ETL workflows. The course introduces Hadoop and HDInsight basics and explores how HDInsight simplifies Hadoop, providing skills for extracting data from various sources and loading it into data warehouses. The hands-on demo, which covers data processing with Hive and data export using Sqoop, provides practical experience in designing and implementing ETL processes using big data technologies.

See salaries and explore the career path for ETL Developer

Database Administrator

A modern database administrator needs to understand how to manage data across both traditional databases and distributed systems. If you want to become a database administrator, this course can help to get useful insight into how Hadoop and HDInsight integrate with traditional databases like SQL Server. The course helps to understand how to process data through Hive and store it in SQL Server, which is a common task for database administrators who are working with big data. Furthermore, the course provides an overview of Azure Data Lake Storage, a key component in modern data architectures, and will be especially useful for on-premises database administrators to help them transition to the cloud.

See salaries and explore the career path for Database Administrator

Data Analytics Consultant

Data analytics consultants advise organizations on how to use data to improve their business outcomes. A data analytics consultant should learn the basics of Hadoop and Azure HDInsight, because it helps to understand how big data technologies can be used to solve complex business problems. The course helps to understand how to extract, transform, and load data using tools like Hive and Sqoop, which are essential skills for analyzing big data. Learning how to collect data from Data Lake, process it through Hive, and later store data in SQL Server, will improve a data analytics consultant's ability to deliver data-driven insights.

See salaries and explore the career path for Data Analytics Consultant

Azure Developer

An Azure developer builds and maintains applications on the Microsoft Azure platform. An Azure developer should take this course to learn about the basics of Hadoop and Azure HDInsight. The course helps to understand how to use HDInsight to process data in Azure, which can be valuable for building data-intensive applications. The course also introduces Azure services and resource management, which are essential skills for any Azure developer. The hands-on demo, which covers data processing with Hive and data storage in SQL Server, showcases practical applications of HDInsight within the Azure ecosystem.

See salaries and explore the career path for Azure Developer

Solutions Architect

Solutions architects design and implement IT solutions that meet specific business needs. In this course, you learn about Azure Cloud Computing Basics and then examine Hadoop and HDInsight. This course provides a good introduction to how to implement Hadoop components in Azure Cloud, which may be valuable when designing solutions that involve big data processing. Learning about HDInsight cluster types, architecture, and its simplification of Hadoop helps the solutions architect choose the right technologies for cloud-based solutions and may improve efficiency of data management.

See salaries and explore the career path for Solutions Architect

Big Data Architect

A big data architect designs and implements big data solutions, often involving Hadoop and related technologies. For a big data architect, this course may give an introduction to the Hadoop ecosystem and how it operates within the Azure cloud using HDInsight. The course provides valuable insight into HDInsight cluster types, architecture, and how it simplifies Hadoop management. Understanding these aspects is crucial for designing efficient and scalable big data solutions. The demo, which covers data processing with Hive and data storage in SQL Server, introduces real-world big data workflows.

See salaries and explore the career path for Big Data Architect

Cloud Solutions Architect

The cloud solutions architect is responsible for designing, planning, and managing the implementation of cloud computing solutions. This course may be useful when learning how Microsoft Azure handles big data processing. The course introduces Azure cloud computing basics, which provides a foundation for understanding the broader Azure ecosystem. Gaining familiarity with Azure services, resource management, and HDInsight cluster types is valuable for designing and implementing efficient cloud-based big data solutions. Also, understanding how HDInsight makes Hadoop easier to manage can inform decisions about which technologies to leverage for specific cloud projects. The course also offers a chance to learn how to implement Hadoop components in the Azure cloud.

See salaries and explore the career path for Cloud Solutions Architect

Hadoop Developer

A Hadoop developer builds and maintains applications within the Hadoop ecosystem. This course may be useful because it provides a foundational understanding of Hadoop and how it is implemented in the Azure cloud using HDInsight. Learning the basics of Hadoop and how HDInsight simplifies its use can help the Hadoop developer to build and optimize their applications. The course introduces key aspects of HDInsight, such as cluster types and architecture. Furthermore, the hands-on demo, which covers data processing with Hive, showcases real-world Hadoop development scenarios.

See salaries and explore the career path for Hadoop Developer

Cloud Engineer

A cloud engineer is responsible for implementing, managing, and maintaining cloud computing systems. Considering this course may give an overview of Azure cloud computing basics including resource management groups and subscriptions. The course also introduces HDInsight, which may be used for big data processing in the cloud. Learning how HDInsight simplifies Hadoop and understanding its architecture helps the cloud engineer manage and optimize cloud-based data processing workflows. The course also includes a demo on fetching data from Data Lake, which may be valuable to a cloud engineer.

See salaries and explore the career path for Cloud Engineer

Data Warehouse Architect

A data warehouse architect designs and oversees the implementation of data warehousing solutions. The modern architect should know how cloud-based solutions can augment traditional systems. This course may be useful if you want to learn how Hadoop components can be implemented in Azure cloud using HDInsight. By learning how to fetch data from Data Lake, process it through Hive, and later store data in SQL Server, the data warehouse architect can discover how to design systems that take advantage of both cloud and on-premises resources.

See salaries and explore the career path for Data Warehouse Architect

Machine Learning Engineer

Machine learning engineers build and deploy machine learning models, often requiring them to work with large datasets processed using big data technologies. This course may be useful; it presents the fundamentals of Hadoop and Azure HDInsight, which are often used in machine learning pipelines for data processing and storage. Understanding how HDInsight simplifies Hadoop and its various cluster types can assist a machine learning engineer develop efficient data processing workflows. The hands-on demo, which covers data ingestion from Data Lake, processing with Hive, and storage in SQL Server, showcases the data engineering aspects crucial for machine learning projects.

See salaries and explore the career path for Machine Learning Engineer

Business Intelligence Analyst

Business intelligence analysts examine data trends and provide insights to improve decision-making. This course may be useful in helping a business intelligence analyst understand how big data technologies like Hadoop and HDInsight can be used to process and analyze large datasets. The course helps to understand how to extract, transform, and load data using tools like Hive and Sqoop, which are essential skills for working with big data in a business intelligence context. Learning the fundamentals provided in this course about how to collect data from Data Lake, process it through Hive, and later store data in SQL Server may be helpful in analyzing data.

See salaries and explore the career path for Business Intelligence Analyst

Learn Hadoop and Azure HDInsight basics this evening in 2 hr

What's inside

Syllabus

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Reviews summary

Beginner introduction to hadoop and azure hdinsight

Activities

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