Udemy
  •  
  •  
  •  
  •  
  •  
  •  
  •  
  •  
  •  
  •  
  •  
  •  
  •  
Development
Web Development Data Science Mobile Development Programming Languages Game Development Database Design & Development Software Testing Software Engineering Development Tools No-Code Development
Business
Entrepreneurship Communications Management Sales Business Strategy Operations Project Management Business Law Business Analytics & Intelligence Human Resources Industry E-Commerce Media Real Estate Other Business
Finance & Accounting
Accounting & Bookkeeping Compliance Cryptocurrency & Blockchain Economics Finance Finance Cert & Exam Prep Financial Modeling & Analysis Investing & Trading Money Management Tools Taxes Other Finance & Accounting
IT & Software
IT Certification Network & Security Hardware Operating Systems Other IT & Software
Office Productivity
Microsoft Apple Google SAP Oracle Other Office Productivity
Personal Development
Personal Transformation Personal Productivity Leadership Career Development Parenting & Relationships Happiness Esoteric Practices Religion & Spirituality Personal Brand Building Creativity Influence Self Esteem & Confidence Stress Management Memory & Study Skills Motivation Other Personal Development
Design
Web Design Graphic Design & Illustration Design Tools User Experience Design Game Design Design Thinking 3D & Animation Fashion Design Architectural Design Interior Design Other Design
Marketing
Digital Marketing Search Engine Optimization Social Media Marketing Branding Marketing Fundamentals Marketing Analytics & Automation Public Relations Advertising Video & Mobile Marketing Content Marketing Growth Hacking Affiliate Marketing Product Marketing Other Marketing
Lifestyle
Arts & Crafts Beauty & Makeup Esoteric Practices Food & Beverage Gaming Home Improvement Pet Care & Training Travel Other Lifestyle
Photography & Video
Digital Photography Photography Portrait Photography Photography Tools Commercial Photography Video Design Other Photography & Video
Health & Fitness
Fitness General Health Sports Nutrition Yoga Mental Health Dieting Self Defense Safety & First Aid Dance Meditation Other Health & Fitness
Music
Instruments Music Production Music Fundamentals Vocal Music Techniques Music Software Other Music
Teaching & Academics
Engineering Humanities Math Science Online Education Social Science Language Teacher Training Test Prep Other Teaching & Academics
AWS Certification Microsoft Certification AWS Certified Solutions Architect - Associate AWS Certified Cloud Practitioner CompTIA A+ Cisco CCNA Amazon AWS CompTIA Security+ AWS Certified Developer - Associate
Photoshop Graphic Design Adobe Illustrator Drawing Digital Painting InDesign Character Design Canva Figure Drawing
Life Coach Training Neuro-Linguistic Programming Mindfulness Personal Development Meditation Personal Transformation Life Purpose Neuroscience Emotional Intelligence
Web Development JavaScript React CSS Angular PHP WordPress Node.Js Python
Google Flutter Android Development iOS Development Swift React Native Dart Programming Language Mobile Development Kotlin SwiftUI
Digital Marketing Google Ads (Adwords) Social Media Marketing Google Ads (AdWords) Certification Marketing Strategy Internet Marketing YouTube Marketing Email Marketing Retargeting
SQL Microsoft Power BI Tableau Business Analysis Business Intelligence MySQL Data Analysis Data Modeling Data Science
Business Fundamentals Entrepreneurship Fundamentals Business Strategy Online Business Business Plan Startup Freelancing Blogging Home Business
Unity Game Development Fundamentals Unreal Engine C# 3D Game Development C++ 2D Game Development Unreal Engine Blueprints Blender
2021-01-07 04:43:56
30-Day Money-Back Guarantee
IT & Software IT Certification Microsoft Azure

Azure Data Engineer Technologies for Beginners [Bundle]

Microsoft Azure SQL Database, Data Lake, Data Factory, Synapse Analytics, Cosmos DB, Databricks,HDInsight,DP-200, DP-201
Rating: 4.6 out of 54.6 (3,049 ratings)
17,319 students
Created by Eshant Garg
Last updated 1/2021
English
English [Auto]
30-Day Money-Back Guarantee

What you'll learn

  • You will be able to identify right Azure SQL Server deployment option, purchasing model and service tier according to requirements and will be able to deploy it in cloud.
  • You will able to deploy Azure Synapse Analytics (formerly known as Azure SQL Data warehouse) in Azure Cloud environment.
  • You will have good internal MPP architecture understanding, and so you will be able to analyse your on-premises data warehouse, and migrate data to Azure Data Warehouse.
  • You will be able to create Azure Data Lake Gen1 storage account, populate it will data and analyze it using U-SQL Language.
  • You will understand Azure Data Factory key components and advantages. You will be able to create, schedule and monitor simple pipelines.
  • 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.
Curated for the Udemy for Business collection

Requirements

  • Basic Database concepts

Description

Why Microsoft Azure Data Engineer?

  • Microsoft Azure Date Engineering is one of the fastest-growing and in-demand occupations among Data Science practitioners.

  • According to a 2019 Dice report, there was an 88% year-over-year growth in job postings for data engineers, which was the highest growth rate among all technology jobs.

  • If you are interested in this domain, there cannot be a better time to start learning these Microsoft Azure Data Solution technologies.


Expected Outcomes

After this course:

  • Microsoft Azure SQL Server - You will be able to identify the right Azure SQL Server deployment option, purchasing model and service tier according to requirements and will be able to deploy it in the cloud. You will be able to set up a security configuration to secure your database.

  • Microsoft Azure SQL Data Warehouse - You will able to deploy Azure Synapse Analytics (formerly known as Azure SQL Data warehouse) in Azure Cloud environment. You will have good internal MPP architecture understanding, and so you will be able to analyze your on-premises data warehouse and migrate data to Azure Data Warehouse.

  • Microsoft Azure Data Lake - You will be able to create Azure Data Lake storage account, populate it will data using different tools and analyze it using Databricks and HDInsight

  • Microsoft Azure Data Factory - You will understand Azure Data Factory's key components and advantages. You will be able to create, schedule and monitor simple pipelines.

  • Hadoop Basics - You will learn the 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 - 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.

  • Cosmos DB - You will understand all basic concepts of Cosmos DB, and will be able to create a new database, container, documents, and choose right partition key, configure the global distribution and use other important features

  • Streaming Service - I will add details soon

  • Databricks - I will add details soon

  • Storage Service - I will add details soon

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 these technologies 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."

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


Prerequisites

  • Basic T-SQL and Database concepts

  • Microsoft Azure Free trial Subscription

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

Course updates

I am consistently adding new content in terms of both lectures and demos. Please find below logs for past and upcoming changes.

Previous Updates:

  • Jan 2021 - Revised Synapse module with all new changes

  • Aug 2020 - Data Encryption related lessons added

  • July 2020 - Monitoring and Optimization of services

  • July 2020 - AMS (Azure Monitoring Service)

  • July 2020 - Re-recorded Azure Data Factory with all new updates

  • July 2020 - NoSQL Databases in Microsoft Azure (Azure Blob Storage)

  • July 2020 - Added Azure Databricks Module

  • July 2020 - Added Azure Streaming Analytics Module

  • June 2020 - Added Azure Cosmos DB Module

  • May 2020 - Full-length course on Data Lake

  • Apr 2020 - Added modules on Azure cloud computing basics, and Data Engineer profile

  • Apr 2020 - Added crash course on cloud computing and data warehouse

  • Mar 2020 - Added Azure Synapse Analytics

  • Feb 2020 -  Added Azure SQL Database

  • Oct 2019 -  Added Azure HDInsight

  • Sep 2019 -  Added Azure Data Factory

  • Aug 2019 - Course Created on Azure Data Lake


Course In Detail

By the end of this course

  • Microsoft Azure SQL Server -

    • You will know the advantages of Azure Database over on-premises Database

    • You will be able to provision all three types of Azure Database PaaS Deployments (Single, Elastic Pool, Managed Instance)

    • You will learn different purchasing models and Service tiers and how to configure them according to requirements.

    • You will be able to provision Azure Database in Virtual Machine (IaaS)

    • You will be able to deploy Elastic Pool Database and able to add/remove more databases from the pool.

    • You will be able to deploy the Managed Instance Database, configure it and connect it with your SQL Server Management studio.

  • Microsoft Azure Synapse Analytics Service

    • You will learn why we should consider warehousing solutions in the cloud.

    • You will learn about Microsoft's brand new Azure Synapse analytics service, and how this service brings together enterprise data warehousing and Big Data analytics, and provide a unified experience to ingest, prepare, manage, and serve data for immediate BI and machine learning needs.

    • You will learn the difference between Traditional vs Modern vs Synapse Architecture.

    • You will learn Azure famous MPP (Massive Parallel Processing) architecture

    • You will also learn many internal concepts like Data Distribution, Sharding, and partitioning.

    • You will learn different migration methods and best practices.

    • You will learn PolyBase setup (Best Loading method)

    • You will perform a lot of demos to migrate data to Azure SQL Data warehouse using SSIS, Data Factory and PolyBase.

  • Microsoft Azure Data Lake Gen1

    • You will learn the limitations of traditional database systems to handle the Big Data revolution.

    • You will learn the difference between Azure Data Lake, SSIS, Hadoop and Data Warehouse.

    • You will be able to create Azure Data Lake Gen1 storage account, populate it will data and analyze it using U-SQL Language.

  • Microsoft Azure Data Factory -

    • You will understand Azure Data Factory's key components and advantages.

    • You will be able to create, schedule and monitor simple pipelines.

  • 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 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.

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

Who this course is for:

  • Beginners in Azure Platform
  • Database Developer
  • Database Administrators (DBA)
  • Business Intelligence (BI) Developers
  • Data Engineers
  • Data Scientist
  • Data Analyst or similar profiles
  • Other on-premises Database related profiles who want to learn how to implement these technologies in Azure Cloud.
  • Anyone who is looking forward to start his career as a Azure Data Engineer

Featured review

Anten
Anten
17 courses
2 reviews
Rating: 5.0 out of 5a year ago
I am new to these Azure technologies. I didn't experience much difficulty is understanding the concepts. The contents are very basic. The instructor has set that expectation at the starting of the course. So I am not complaining about it. If you want to just understand the concepts with little hands on, go for this course. If your intent is to work in real time directly after taking this course, this is not for you.

Course content

17 sections • 327 lectures • 34h 42m total length

  • Preview03:05
  • Preview00:48
  • Preview00:20
  • How to keep using Azure Portal for FREE after 12 months?
    04:49
  • Before you start...
    01:29

  • Download PPT of this Module
    00:01
  • Preview01:13
  • Create Azure free subscription
    06:13
  • Preview14:45
  • Azure Services Overview
    11:08
  • Managed and Unmanaged Service
    05:00
  • Resource Management group and Subscription
    08:34
  • Resource Groups
    08:16
  • Resource Provider
    02:29
  • Tagging
    03:09
  • Access Control
    05:33
  • Demo - Create Azure SQL Database service
    15:21
  • Delete resources and set budget
    06:59
  • Conclusion
    01:29

  • Download PPT of this Module
    00:01
  • Introduction
    00:38
  • Preview05:31
  • Introduction to Data Engineer technologies
    03:45
  • Conclusion
    00:40

  • Module Introduction
    04:56
  • Download PPT - Azure SQL Database
    00:02
  • **** SECTION **** - Introduction to Azure SQL Database
    00:01
  • Introduction
    01:08
  • Why choosing SQL Server in Azure
    02:58
  • Preview09:22
  • Iaas vs Managed Instance
    00:10
  • SQL Server PaaS deployment options
    03:50
  • Further References from Microsoft Docs
    00:03
  • Practice Test
    4 questions
  • **** SECTION **** - Azure SQL Server in Virtual Machine (IaaS)
    00:02
  • Introduction
    00:31
  • SQL Server in Azure Virtual Machine
    01:57
  • Preview12:05
  • Further References from Microsoft Docs
    00:02
  • Practice Test
    2 questions
  • **** SECTION **** - Azure Single Database
    00:01
  • Introduction
    01:08
  • Demo - Azure Single Database
    15:37
  • Purchasing models and Service Tier
    13:23
  • Azure Database vs Azure Data warehouse
    02:33
  • Further References from Microsoft Docs
    00:02
  • Practice Test
    4 questions
  • **** SECTION **** - Elastic Database Pool
    00:01
  • Introduction
    00:39
  • Azure Elastic Database
    04:16
  • Demo - Azure Elastic Database
    14:01
  • Further References from Microsoft Docs
    00:02
  • Practice Test
    2 questions
  • **** SECTION **** - Managed Instance Database
    00:01
  • Introduction
    01:00
  • Azure Managed Instance Database
    04:17
  • Difference between on-premises and Managed Instance
    01:53
  • Migration options for Managed Instance
    01:18
  • Service tiers for Managed Instance
    01:44
  • Management operations
    01:45
  • Demo - Managed Instance
    17:42
  • Further References from Microsoft Docs
    00:02
  • Practice Test
    2 questions
  • **** SECTION **** - Azure Database Security
    00:01
  • Introduction
    01:01
  • Azure Database Security options
    08:11
  • Azure Managed Instance advance security
    01:25
  • Encrypting Data at Rest and Motion
    25:43
  • Dynamic Data Masking
    21:20
  • High Availability vs Disaster Recovery
    07:16
  • RTO vs RPO
    04:11
  • Azure SQL Database High Availability and Disaster Recovery options
    28:32
  • Azure SQL Database Backup and Restore
    19:07
  • Azure SQL Database Scaling
    11:20
  • Further References from Microsoft Docs
    00:02
  • Practice Test
    3 questions
  • Monitoring through portal
    15:45
  • Monitoring through external tools
    09:15
  • Intelligent performance and Automatic Tuning
    14:16
  • Query Performance Insight
    13:00

  • IMPORTANT Updates on new changes - PLEASE READ
    00:31
  • Data Warehouse - crash course
    00:09
  • Module Introduction
    03:12
  • Azure Synapse - PPT and Demo Resources
    00:02
  • **** UPDATED SECTION **** - Introduction to Azure Synapse Analytics Service
    00:02
  • Introduction
    02:45
  • Why warehousing in cloud
    02:48
  • Traditional vs Modern Warehouse architecture
    14:24
  • What is Synapse Analytics Service
    08:45
  • Demo: Create Dedicated SQL Pool
    11:43
  • Demo: Connect SQL Pool with SSMS
    03:40
  • Demo: Create Azure Synapse Analytics Workspace
    05:57
  • Demo: Explore Synapse Studio V2
    11:53
  • Demo: Create Dedicated SQL Pool and Spark Pool from inside Synapse Studio
    08:12
  • Demo: Analyse Data using Dedicated SQL Pool
    09:14
  • Analyse Data using Apache Spark Notebook
    11:52
  • Demo: Analyse Data using Serverless SQL Pool
    07:52
  • Demo: Data Factory Copy Tool from Synapse Integrate Tab
    09:03
  • Demo: Monitor Synapse Analytics Studio
    07:36
  • Azure Synapse a Game changer
    06:48
  • Azure Synapse Benefits
    03:00
  • Modern vs Azure Synapse Architecture
    03:20
  • Demo Azure Synapse Analytics
    16:10
  • Azure Synapse Studio
    25:13
  • Synpase unified experience
    02:20
  • Summary
    01:53
  • Practice Test
    3 questions
  • **** SECTION **** - Azure Synapse Internal and Architecture
    00:01
  • Introduction
    01:47
  • Azure Synapse MPP Architecture
    07:10
  • Storage and Sharding patterns
    05:29
  • Data Distribution and Distributing Keys
    06:05
  • Data Types and Table Types
    05:20
  • Partitioning
    04:48
  • Best Practices for Fact and Dimension tables
    02:49
  • Demo - Analyse data distribution before migration to azure
    12:19
  • Summary
    02:29
  • Practice Test
    9 questions
  • **** SECTION **** - Data Migration to Azure Synapse Data Warehouse
    00:02
  • Introduction
    01:02
  • 5 best practices for Data Load
    05:13
  • DIfferent loading methods
    02:38
  • Loading with SSIS vs PolyBase
    03:35
  • Demo - Loading with SSIS
    05:25
  • Demo - Loading with Polybase
    27:10
  • Demo - Loading with Data Factory
    16:43
  • Summary
    00:55
  • Practice Test
    8 questions
  • Assignment Question - Lab: Lake to Synapse
    02:51
  • Assignment Solution - Lab: Lake to Synapse
    22:46
  • **** SECTION **** - Security layers in Azure Synapse Service
    00:02
  • Introduction
    01:29
  • Advance Data Security
    07:03
  • Auditing
    04:03
  • Network Security
    03:09
  • Transparent data encryption
    01:38
  • Dynamic Data Masking
    04:05
  • Access Management
    05:30
  • Summary
    01:47
  • Practice Test
    7 questions
  • **** SECTION **** - Configuring and Optimizing Azure Synapse Service
    00:02
  • Introduction
    01:37
  • Configuration Options
    08:01
  • Performing other tasks
    03:56
  • Backup and Restore
    07:57
  • Scaling
    03:17
  • Price Optimization
    05:32
  • Managing Workloads
    10:05
  • Monitoring
    12:15
  • Support and Troubleshooting
    03:21
  • Delete Resources
    03:52
  • Summary
    01:16
  • Practice Test
    6 questions
  • DP-200 Quick Notes/cheat sheet
    01:12
  • Preview01:36

  • Data Lake - PPT and Demo Resources
    00:01
  • Preview04:07
  • Preview03:54
  • Data Lake vs Hadoop
    01:34
  • How Data Lake Gen2 evolved?
    05:17
  • Blob Storage vs Data Lake
    04:37
  • Hierarchical namespace
    06:12
  • Demo - Create Azure Data Lake Gen2 Account
    11:01
  • Demo - Data Lake Gen2 account overview
    10:16
  • Data Lake Gen2 other features
    06:00
  • **** SECTION **** - Data Lake Ingestion through diff tools
    00:02
  • Explore different tools to Ingest Data in Azure Data Lake Gen2
    11:03
  • Demo - On-Premises to Data Lake Gen2 using portal and storage explorer
    09:11
  • Demo - On-Premises to Data Lake Gen2 using azcopy
    06:04
  • Demo - Azure Blob to Data Lake Gen 2 using Data Factory
    09:04
  • Demo - Azure SQL Database to Data Lake Gen2 using Data Factory
    14:13
  • Demo - Amazon S3 to Data Lake Gen2 using Data Factory
    08:16
  • **** SECTION **** - Data flow around Data Lake
    00:01
  • Data flow around Data Lake
    04:52
  • Data Lake and Transient clusters
    02:13
  • Data Processing using HDInsight
    00:07
  • **** SECTION **** - Data Lake Processing through Databricks
    00:01
  • Imp Note about this Demo
    00:55
  • Demo overview
    04:35
  • Provision Databricks, Clusters and workbook
    11:42
  • Mount Data Lake to Databricks DBFS
    12:28
  • Explore, Analyze, Clean, Transform
    18:04
  • **** SECTION **** - Data Lake Security Layers
    00:01
  • Introduction
    02:01
  • Storage Access Keys
    03:24
  • SAS - Shared Access Signature
    07:16
  • Azure Active Directory
    04:44
  • Role Based Access Control (RBAC)
    05:33
  • Access Control list (ACL)
    06:23
  • Firewalls and Virtual Networks
    03:53
  • Encryption in Transit
    03:31
  • Encryption at Rest
    02:36
  • Advanced threat protection
    02:06
  • **** SECTION **** - Data Lake Monitoring and Optimization
    00:01
  • Activity Log
    04:41
  • Demo: Activity Logs
    06:42
  • Metrics
    03:38
  • Demo: Metrics
    08:47
  • Demo: Insights
    08:26
  • Demo: Alerts
    08:25
  • Diagnostic settings
    08:16
  • Demo: Diagnostic settings
    08:20
  • Optimization
    05:39
  • **** SECTION **** - Demo - Azure Data Lake Gen1
    00:01
  • Preview01:13
  • Preview05:48
  • How to upload data in Data Lake Gen1
    03:11
  • Write U-SQL Script to transform data
    05:57
  • Schedule a job in Data Lake
    03:12
  • Summary
    00:24

  • PPT and Demo Resources
    00:00
  • Introduction to NoSQL
    09:23
  • SQL vs NoSQL
    04:21
  • 4 types of NoSQL Databases
    09:24
  • NoSQL Offerings by Microsoft Azure
    09:06
  • Azure Storage Introduction
    06:28
  • Demo: Part 1 Provision Azure Storage Account
    17:44
  • Demo Part 2: Azure Storage Replication
    12:57
  • Demo: Part 3 Continue Provisioning Azure Storage account
    20:33
  • Azure Blob Storage
    10:50
  • Managing the Data LifeCycle
    13:54
  • Azure Storage - HA and DR Options
    11:31

  • Cosmos DB - PPT and Demo Resources
    00:02
  • Problem Statement How Cosmos DB Evolved
    02:38
  • Cosmos DB Features
    11:24
  • Cosmos DB - Multi Model 5 APIs
    12:20
  • Azure Table Storage vs Cosmos DB Table API
    04:36
  • Provision Cosmos DB Account
    10:34
  • Cosmos DB - Database , Containers and items
    04:27
  • Cosmos DB - Throughput and Request units
    09:18
  • Cosmos DB - Horizontally Scalable
    02:49
  • Cosmos DB - Partition and Partitioning key
    06:10
  • Cosmos DB - Dedicated vs Shared throughput
    06:36
  • Cosmos DB - Avoiding hot partitions
    05:24
  • Cosmos DB - Single partition vs Cross partition
    03:32
  • Cosmos DB - Composite Key
    03:14
  • Cosmos DB - Partition key best practice
    07:48
  • Cosmos DB - Automatic Indexing
    05:20
  • Demo Insert and query data in your cosmos DB
    12:41
  • Cosmos DB - Time to Live feature
    05:48
  • Cosmos DB - Globally Distribution feature
    13:23
  • Cosmos DB - Multi Master feature
    08:38
  • Cosmos DB - Manual vs Automatics Failover
    07:36
  • Cosmos DB - 5 consistent levels
    14:16
  • Cosmos DB - Azure CLI
    07:02
  • Cosmos DB - Pricing
    06:50
  • Cosmos DB - Monitoring through AMS (Azure Monitor Service)
    14:43
  • Cosmos DB - Monitoring through Cosmos DB Portal
    12:43
  • Cosmos DB - Security
    11:28
  • Cosmos DB - High Availability and Disaster Recovery Option
    17:22

  • PPT and Demo Resources
    00:01
  • What is Live Event Processing?
    09:19
  • Introduction to Azure Streaming Analytics Service
    06:18
  • Streaming Analytics - What is time windowing
    02:22
  • Streaming Analytics - Tumbling Window
    02:33
  • Streaming Analytics - Hopping Window
    02:13
  • Streaming Analytics - Sliding Window
    02:22
  • Streaming Analytics - Session Window
    06:06
  • Streaming Analytics - Processing Blob Storage Input
    18:43
  • Streaming Analytics - Processing IOT Hub Input
    18:49
  • Stream Analytics - Monitoring
    14:12
  • Stream Analytics - Optimization
    10:22

  • PPT and Demo Resources
    00:02
  • Spark Basics
    27:25
  • Why Spark is difficult? Why Databricks Evolved?
    05:08
  • Why Databricks in Cloud? Introduction to Azure Databricks
    04:31
  • How to save Databricks demo Cost
    01:07
  • Demo overview
    04:32
  • Demo: Provision Databricks, Clusters and workbook
    11:22
  • Demo: Mount Data Lake to Databricks DBFS
    12:24
  • Demo :Explore, Analyze, Clean, Transform and Load Data in Databricks
    18:04
  • Azure Databricks Clusters
    12:56
  • Azure Databricks other Important Components
    09:34
  • Databricks - Monitoring
    06:39

Instructor

Eshant Garg
Azure Data Architect || Author || Adviser
Eshant Garg
  • 4.6 Instructor Rating
  • 7,160 Reviews
  • 44,497 Students
  • 10 Courses

13 years of extensive professional experience with expertise in Microsoft Database and Business Intelligence Solutions, Advanced Analytics, Reporting and Azure cloud computing technologies

CERTIFICATIONS

- DP-200: Implementing an Azure Data Solution
- DP-201: Designing an Azure Data Solution
- Microsoft Certified Technology specialist (MCTS) – SQL Server Database development
- Information Technology Infrastructure Library (ITIL V3) Certified

SPECIALITY

Azure : Data Lake, Data Factory, Synapse Analytics (DW), PolyBase, Stream Analytics & Storage

Big Data Tech : HDInsgiht, Databricks, CosmosDB, Hadoop, Spark, PySpark, Hive, Sqoop

Database versions : Microsoft SQL Server 2005-2016, NoSQL

Languages : T-SQL, USQL, Python, MDX, DAX, PySpark

BI Tools : SSRS, SSIS, SSAS, Power BI


I have been messing around with data for more than a decade now, I love to work on Database internals, performance tuning, and optimization, Database design, modeling, and implementation especially using Microsoft SQL Server and Azure database and analytics technologies.

As a developer and architect, I have worked closely with customers, users, and colleagues to support business solutions across a variety of industries including healthcare, insurance, finance, and government ranging from small companies to fortune 500 companies. These experiences provided opportunities to see varied implementations, troubleshoot performance-related problems, give guidance on design, and provide consultation on optimization, availability, and recoverability.

I helped in End to End Implementations of many database projects, providing team leadership and project management, requirements gathering, specification documentation, functional/technical design, Data modeling & solution architecture.

Outside of the technical world, I love yoga and meditation. I am a student of ancient yogic text Bhagavad Gita and love to discuss and practice philosophical teachings.

  • Udemy for Business
  • Teach on Udemy
  • Get the app
  • About us
  • Contact us
  • Careers
  • Blog
  • Help and Support
  • Affiliate
  • Terms
  • Privacy policy
  • Cookie settings
  • Sitemap
  • Featured courses
Udemy
© 2021 Udemy, Inc.