Microsoft Azure Data Lake Storage Service (Gen1 Gen2)

Microsoft Azure Data Lake Storage Service (Gen1 & Gen2), available at $79.99, has an average rating of 4.8, with 63 lectures, 2 quizzes, based on 626 reviews, and has 8234 subscribers.

You will learn about Microsoft Azure Data Lake Different tools and scenarios to ingest data in to Data Lake Data Lifecycle and Architecture around Data Lake Use Azure Databricks and HDInsight to process data in ADLS Five layers of security to protect Data Lake Monitor the performance of your Data lake Data Lake optimization Strategy This course is ideal for individuals who are Anyone interested in Azure’s big data analytics services or Microsoft Azure Data Engineers or Database and BI developers or Database Administrators or Data Analyst or similar profiles It is particularly useful for Anyone interested in Azure’s big data analytics services or Microsoft Azure Data Engineers or Database and BI developers or Database Administrators or Data Analyst or similar profiles.

Enroll now: Microsoft Azure Data Lake Storage Service (Gen1 & Gen2)

Summary

Title: Microsoft Azure Data Lake Storage Service (Gen1 & Gen2)

Price: $79.99

Average Rating: 4.8

Number of Lectures: 63

Number of Quizzes: 2

Number of Published Lectures: 63

Number of Published Quizzes: 2

Number of Curriculum Items: 65

Number of Published Curriculum Objects: 65

Number of Practice Tests: 2

Number of Published Practice Tests: 2

Original Price: $22.99

Quality Status: approved

Status: Live

What You Will Learn

Microsoft Azure Data Lake

Different tools and scenarios to ingest data in to Data Lake

Data Lifecycle and Architecture around Data Lake

Use Azure Databricks and HDInsight to process data in ADLS

Five layers of security to protect Data Lake

Monitor the performance of your Data lake

Data Lake optimization Strategy

Who Should Attend

Anyone interested in Azure’s big data analytics services

Microsoft Azure Data Engineers

Database and BI developers

Database Administrators

Data Analyst or similar profiles

Target Audiences

Anyone interested in Azure’s big data analytics services

Microsoft Azure Data Engineers

Database and BI developers

Database Administrators

Data Analyst or similar profiles

Course Introduction

Azure Data Lake Storage Gen2 (ADLS) is a cloud-based repository for both structured and unstructured data. For example, you could use it to store everything from documents to images to social media streams.

The most effective way to do big data processing on Azure is to store your data in ADLS and then process it using Spark (which is essentially a faster version of Hadoop) on Azure Databricks.

In this course, you will follow hands-on examples to import data into ADLS and then securely access it and analyze it using Azure Databricks and Azure HDInsight.

You will also learn how to monitor and optimize your Data Lake Storage.

Expected Outcomes

After this course:

You will have a very good understanding of Data lake features and properties

You will learn about different tools and scenarios to ingest data into Data Lake.

You will learn about Data Lifecycle and Architecture around Data Lake

You will be doing end to end demos to ingest, process, and export data using Databricks and HDInsight.

You will learn about 5 layers of Data Security and how to configure them using the Azure portal.

You will also learn about different tools Azure provides to monitor Data Lake Storage service.

And finally, you will learn optimization techniques for Data Lake Storage.

Intended Audience

Anyone interested in learning Azure Data Lake Storage Service

Level

Beginners and intermediate level

I have a few crash courses (Free) for absolute beginners, you can find links on my website.

Prerequisites

There is no prerequisite for this course

Basic understanding of Data warehouse and Database, in general, will help you understand quickly.

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

Course Curriculum

Chapter 1: Course Introduction

Lecture 1: Course Introduction

Lecture 2: Before you start

Lecture 3: Demo Resources and PPT

Chapter 2: Introduction to Azure Cloud Computing

Lecture 1: Create Azure free subscription

Lecture 2: Azure Portal Overview

Lecture 3: Azure Services Overview

Lecture 4: Resource Management group and Subscription

Lecture 5: Resource Groups

Lecture 6: Tagging

Lecture 7: Delete resources and set budget

Chapter 3: Introduction to Azure Data Lake

Lecture 1: Problem Statement

Lecture 2: What is Data Lake

Lecture 3: Data Lake vs Hadoop

Lecture 4: How Data Lake Gen 2 evolved

Lecture 5: Azure Data Lake vs Azure Blob storage

Lecture 6: Provision Azure Data Lake Gen2 Account

Lecture 7: Azure Data Lake Gen 2 account overview

Lecture 8: Hierarchical namespace

Lecture 9: Other Data Lake Gen 2 features

Chapter 4: Data Ingestion

Lecture 1: Tools to Ingest Data in Data Lake

Lecture 2: Demo – Ingest using Portal and SE

Lecture 3: Demo – Ingest Data using azcopy

Lecture 4: Demo: Azure Blob storage to Data Lake Gen2 using Data Factory

Lecture 5: Demo: SQL Server to Data Lake Gen2 using Data Factory

Lecture 6: Demo: Amazon S3 to Data Lake Gen2 using Data Factory

Chapter 5: Data flow around Data Lake

Lecture 1: Data flow around Data Lake

Lecture 2: Data Lake and Transient clusters

Chapter 6: Azure Data Lake Processing through Databricks

Lecture 1: Imp NOTE before you start Demo

Lecture 2: Demo overview

Lecture 3: Demo: Provision Databricks, Clusters and workbook

Lecture 4: Demo: Mount Data Lake to Databricks DBFS

Lecture 5: Demo: Explore, Analyze, Clean, Transform and Load Data

Chapter 7: Azure Data Lake Processing through HDInsight

Lecture 1: Demo overview

Lecture 2: Create Azure Data Lake Storage Gen 2 (source) and SQL Server (destination)

Lecture 3: What is Managed Identity

Lecture 4: Add Managed Identity to Gen2 and Database accounts

Lecture 5: Create HDInsight Interactive Query Cluster

Lecture 6: Ambari overview and UI

Lecture 7: Ingest dataset in to DataLake storage

Lecture 8: Data Extraction with Hive

Lecture 9: Data transformation with Hive

Lecture 10: Data Export using Sqoop

Lecture 11: Summary

Chapter 8: Security Layers in Data Lake

Lecture 1: Introduction

Lecture 2: Storage Access Keys

Lecture 3: SAS – Shared Access Signature

Lecture 4: Azure Active Directory

Lecture 5: Access Control List (ACL)

Lecture 6: Firewalls and Virtual Networks

Lecture 7: Encryption in Transit

Lecture 8: Encryption at Rest

Lecture 9: Advanced threat protection

Chapter 9: Data Lake Monitoring and Optimization

Lecture 1: Activity Log

Lecture 2: Demo Activity Logs

Lecture 3: Metrics

Lecture 4: Demo: Metrics

Lecture 5: Demo: Insights

Lecture 6: Demo: Alerts

Lecture 7: Diagnostic settings

Lecture 8: Demo: Diagnostic settings

Lecture 9: Optimization

Chapter 10: Practice Tests

Lecture 1: Delete Resources

Chapter 11: Wrapping up

Lecture 1: Bonus Section

Instructors

Eshant Garg | | LearnCloud.Info | 100,000+ Enrollments
Instructor | LearnCloud.Info | Azure

Rating Distribution

1 stars: 1 votes

2 stars: 6 votes

3 stars: 52 votes

4 stars: 216 votes

5 stars: 351 votes

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