Microsoft Azure Services, Part 5 of 9: Big Data

Course description

The AZ-900 Microsoft Azure Fundamentals Exam is intended for candidates with non-technical backgrounds or who have some involvement with cloud based solutions and services. This course covers the Azure Big Data Solution as well as Data Bricks and Power BI

Each LearnNowOnline training course is made up of Modules (typically an hour in length). Within each module there are Topics (typically 15-30 minutes each) and Subtopics (typically 2-5 minutes each). There is a Post Exam for each Module that must be passed with a score of 70% or higher to successfully and fully complete the course.

Prerequisites

Basic understanding of Azure and an Azure account. Technical IT experience is not required however some general IT knowledge or experience would be beneficial.

Meet the expert

Varma Rudra

Varma has over 14 years of experience in defining the integrated process, application, data & cloud architectures for both corporate & large scale multi-million business transformation programs and has worked extensively in defining strategy for migration of on-premise applications into AWS & Azure Cloud IaaS, PaaS, SaaS platforms. He is a TOGAF certified enterprise architect, PRINCE2 practitioner, and hold several certifications in SAP and cloud space.

Video Runtime

128 Minutes

Time to complete

212 Minutes

Course Outline

Big Data

Azure Big Data Solution (28:18)

• Introduction (00:08)
• Azure big data solution building blocks (06:51)
• Data Lake Store (06:52)
• Demo: Create a data lake store continued (07:08)
• Demo: Ingest data into Data Lake store using Data (07:09)
• Summary (00:08)

HD Insight (23:35)

• Introduction (00:08)
• Introduction to Azure HDInsight (04:59)
• Demo: Process the data in blob storage using Azur (18:19)
• Summary (00:08)

Azure Data Bricks (40:08)

• Introduction (00:08)
• Introduction of Azure Data Bricks (05:57)
• Demo: Create Data bricks workspace and Spark clus (09:34)
• Demo: Extract and transform the data using Spark (06:43)
• Demo: Load the data into SQL Data Warehouse (17:36)
• Summary (00:08)

Power BI (26:09)

• Introduction (00:08)
• Introduction to Power BI (07:07)
• Demo: Visualize the data using Power BI (05:53)
• Introduction to Azure data explorer (06:30)
• Demo: Create data explorer and query data (06:22)
• Summary (00:08)

Azure Data Catalog (09:49)

• Introduction (00:08)
• Azure data catalog (03:19)
• Demo: Create data catalog and register data assets (06:13)
• Summary (00:08)