Big Data Analytics on Microsoft AZURE

Big Data Analytics on Microsoft AZURE, available at $19.99, has an average rating of 4, with 19 lectures, 1 quizzes, based on 58 reviews, and has 2459 subscribers.

You will learn about In this course we would explore various Big Data Analytics services available on Microsoft Azure cloud. You would learn HDInsight, Apache Spark, Jupyter You would also learn about Zappelin, Stream Analytics And Lake Analytics, Data Bricks. This course is ideal for individuals who are Anyone who would be interested to learn Cloud Computing with Microsoft Azure. or Would be interested in learning various Big Data Analytics services and options available on Microsoft Azure. or Want to make a career in Cloud Computing and Data Analytics. It is particularly useful for Anyone who would be interested to learn Cloud Computing with Microsoft Azure. or Would be interested in learning various Big Data Analytics services and options available on Microsoft Azure. or Want to make a career in Cloud Computing and Data Analytics.

Enroll now: Big Data Analytics on Microsoft AZURE

Summary

Title: Big Data Analytics on Microsoft AZURE

Price: $19.99

Average Rating: 4

Number of Lectures: 19

Number of Quizzes: 1

Number of Published Lectures: 19

Number of Published Quizzes: 1

Number of Curriculum Items: 20

Number of Published Curriculum Objects: 20

Number of Practice Tests: 1

Number of Published Practice Tests: 1

Original Price: $19.99

Quality Status: approved

Status: Live

What You Will Learn

In this course we would explore various Big Data Analytics services available on Microsoft Azure cloud.
You would learn HDInsight, Apache Spark, Jupyter
You would also learn about Zappelin, Stream Analytics
And Lake Analytics, Data Bricks.

Who Should Attend

Anyone who would be interested to learn Cloud Computing with Microsoft Azure.
Would be interested in learning various Big Data Analytics services and options available on Microsoft Azure.
Want to make a career in Cloud Computing and Data Analytics.

Target Audiences

Anyone who would be interested to learn Cloud Computing with Microsoft Azure.
Would be interested in learning various Big Data Analytics services and options available on Microsoft Azure.
Want to make a career in Cloud Computing and Data Analytics.

In this course you will be learning various cloud Analytics options available on Microsoft Azure cloud platform. When you are building your career around Cloud computing, with a developer profile, you may be expected to handle big data in this ever-growing world of data. When big data and analytics is your prime domain, you can empower yourself with Data analytics services and tools provided on the cloud platforms, specifically Microsoft Azure. You will be learning following Data Analytics services with few hands-on practical examples.

We would be creating resources for Stream Analytics, Spark, HDInsight exploring options. Below is a list of Big data analytics services on Azure:

What is HDInsight?

It is a cloud distribution of Hadoop components. Azure HDInsight makes it easy, fast, and cost-effective to process massive amounts of data. You can use the most popular open-source frameworks such as Hadoop, Spark, Hive, LLAP, Kafka, Storm, R, and more.

What is Stream Analytics?

It is a real-time analytics service that is designed for mission-critical workloads. You can build an end-to-end serverless streaming pipeline with this service on Azure.

What is Lake Analytics?

It is an on-demand analytics job service that simplifies big data. Easily develop and run massively parallel data transformation and processing programs in U-SQL, R, Python, etc.

What is Data Bricks?

It provides data science and data engineering teams with a fast, easy and collaborative Spark-based platform on Azure. You can use data bricks for Big Data processing and Machine Learning.

Course Curriculum

Chapter 1: Introduction

Lecture 1: Introduction

Chapter 2: Data Analytics on Azure

Lecture 1: Stream Analytics

Lecture 2: HDInsight

Lecture 3: Lake Analytics

Lecture 4: Data Explorer

Lecture 5: Databricks

Chapter 3: HDInsight

Lecture 1: Creating Data Analytics instance

Lecture 2: Creating HDIsight cluster

Lecture 3: Exploring HDInsight Dashboard

Lecture 4: Creating Spark cluster using HDInsight

Lecture 5: Using Jupyter in HDInsight

Lecture 6: Using Zappelin in HDInsight

Chapter 4: Streaming Analysis

Lecture 1: Creating a Stream Analytics job

Lecture 2: Connecting input with Stream Analytics job

Lecture 3: Connecting output with Stream Analytics job

Lecture 4: Let's write a transformation query

Lecture 5: Results

Lecture 6: Conclusion

Chapter 5: Azure Data Lake Storage

Lecture 1: Data Lake Storage

Chapter 6: Practice Test

Instructors

Pranjal Srivastava
Docker | Kubernetes | AWS | Azure | ML | Linux | Python
Harshit Srivastava
Cloud Professional | Content Creator | Edupreneur

Rating Distribution

1 stars: 4 votes
2 stars: 4 votes
3 stars: 14 votes
4 stars: 11 votes
5 stars: 25 votes

Frequently Asked Questions

How long do I have access to the course materials?

You can view and review the lecture materials indefinitely, like an on-demand channel.

Can I take my courses with me wherever I go?

Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!

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