Description

DP-900 BootCamp course from CloudThat is designed to help candidates pass the Microsoft DP-900 certification exam. This exam is intended to help candidates beginning to work with data in the Cloud.

Azure Data Fundamentals can be used to prepare for other Azure role-based certifications like Azure Database Administrator Associate or Azure Data Engineer Associate, but it’s not a prerequisite for any of them.

Course Outline

• Module 1: Describe Core Data Concepts
• Module 2: Describe How to Work with Relational Data on Azure
• Module 3: Describe How to work with non-relational Data on Azure
• Module 4: Describe an Analytics Workload on Azure

To know more about the course outline, click here.

Why Choose CloudThat?

At CloudThat, we offer world-class teaching experienced catered to the diverse needs of technology professionals. From personalized mentoring to self-paced learning modules, we work towards providing a growth-oriented learning experience to nurture their future.

CloudThat has trained over 350K industry professionals from fortune 500 companies in Cloud since 2012. Empowering tech professionals in unleashing the potential of Cloud computing technologies with best-in-class training, CloudThat proved its excellence and is a proud winner of Microsoft 2020 Global Partner of the Year Finalist award.

Considering the recent technological developments, Cloud certifications are in huge demand. That is why CloudThat is offering an in-depth BootCamp course to help IT professionals become a certified Azure expert.

• A Microsoft worldwide Partner and Microsoft Gold Partner.
• Delivered highest number of Azure advance training in India in the last 4 months.
• CloudThat CEO is the MCT Regional Lead for India.
• Robust consulting division complements and feeds practical knowledge to trainers.
• Trained 3,50,000+ professionals worldwide in instructor-led classroom and in virtual instructor-led classroom.
• Our training modules are equipped with 50%-60% hands-on labs sessions.
• Highly interactive virtual and classroom teaching.
• Qualified instructor-led Training and mentoring sessions.
• Practice lab and projects aligned to Azure learning modules.
• Integrated teaching assistance and support.

Why Should You Get DP-900 Certification?

• By earning DP-900 certification, you will show your future or current employer that you have knowledge of database concepts in a Cloud environment and is capable of building Cloud data solutions with Microsoft Azure.
• With this certification, you will be trained in various methods and best practices in Cloud data services.
• This course will help in unleashing the growing market opportunities waiting for Microsoft certified expert in Azure Data Fundamentals.

Wish to become a Microsoft Certified Expert in Azure Data Fundamentals ? Enroll Right Away!

Why Microsoft Azure is the Best Certification?

The job market and opportunities for Microsoft Azure certified professionals have multiplied over the last few years. With increase in demand in Cloud computing domain, Azure certification remains the most popular and widely chosen certification course. Here is why:

• According to reports, around 1,000 new customers daily sign up to Azure which means every year over 365,000 new companies adopt Azure.
• Azure is the fastest-growing enterprise Cloud platform leveraged by leading IT companies across the globe.
• Over 57% Fortune 500 companies use Microsoft Azure.
• Thanks to Azure, Microsoft’s commercial Cloud revenue increased at an annual run rate of $6.3 billion.
• In the US, even the government and their partners leverage Microsoft Azure Government to transform their critical workloads to the secure and compliant Cloud environment.
• 21% of respondents said they received a job offer or promotion upon sharing their Microsoft digital badge with a future employer.
• 41% of respondents said they received positive feedback from their professional network after sharing digital badges.

Benefits of IT Professional Certification

• 85% of enterprises committed to integrate Cloud architecture in their organizations.
• Gives you more professional credibility in any job-related interactions.
• By 2021, more than 38% of IT positions will be Cloud related.
• 19% found a new job.
• 65% experienced their first benefit of certification within 3-4 months.
• 67% acknowledged positive impact on confidence, professional image, and reputation.
• Is more effective at reducing skills gaps.
• Helps keep your skills up to date, making you more valuable to your employer.

For latest batch dates, fees, location, technical queries and general inquiries, contact our sales team at: +91 8880002200 or email at sales@cloudthat.in

Objectives

• To understand and build AI solutions on Azure
• To learn about various Azure Machine Learning services usage & integration
• To understand the profound impacts Machine Learning is making in smart business decisions

Who Should Attend

• Azure Database Administrator
• Azure Data Engineer

Prerequisites

• Should have knowledge on concepts of relational and non-relational data
• Should have knowledge on different types of data workloads such as transactional or analytical

Course Outline

Module 1: Describe Core Data Concepts

• Describe Types of Core Data Workloads
  • Describe Batch Data
  • Describe Streaming Data
  • Describe the Difference between Batch and Streaming Data
  • Describe the Characteristics of Relational Data
• Describe Data Analytics Core Concepts
  • Describe Data Visualization (e.g., Visualization, Reporting, Business Intelligence
  • Describe Basic Chart Types such as Bar Charts and Pie Charts
  • Describe Analytics Techniques (e.g., Descriptive, Diagnostic, Predictive, Prescriptive, Cognitive)
  • Describe ELT and ETL Processing
  • Describe the Concepts of Data Processing

Module 2: Describe How to Work with Relational Data on Azure

• Describe Relational Data Workloads
  • Identify the right Data Offering for a Relational Workload
  • Describe Relational Data Structures (e.g., tables, index, views)
• Describe Relational Azure Data Services
  • Describe and compare PaaS, IaaS, and SaaS Delivery Models
  • Describe Azure SQL Database
  • Describe Azure Synapse Analytics
  • Describe SQL Server on Azure Virtual Machine
  • Describe Azure Database for PostgreSQL, Azure Database for MariaDB, and Azure
• Database for MySQL
  • Describe Azure SQL Managed Instance
• Identify Basic Management Tasks for Relational Data
  • Describe Provisioning and Deployment of Relational Data Services
  • Describe Method for Deployment Including ARM Templates and Azure Portal
  • Identify Data Security Components (e.g., Firewall, Authentication)
  • Identify Basic Connectivity Issues (e.g., Accessing from On-premises, Access with Azure
• VNets, Access from Internet, Authentication, Firewalls)
  • Identify Query Tools (e.g., Azure Data Studio, SQL Server Management Studio, sqlcmd Utility, etc.)
• Describe Query Techniques for Data using SQL Language
  • Compare DDL Versus DML
  • query relational Data in PostgreSQL, MySQL, and Azure SQL Database

Module 3: Describe How to work with non-relational Data on Azure

• Describe Non-Relational Data Workloads
  • Describe the Characteristics of Non-Relational Data
  • Describe the Types of Non-Relational and NoSQL Data
  • Recommend the Correct Data Store
  • Determine When to use Non-Relational Data
• Describe non-relational Data Offerings on Azure
  • Identify Azure Data Services for Non-Relational Workloads
  • Describe Azure Cosmos DB APIs
  • Describe Azure Table Storage
  • Describe Azure Blob Storage
  • Describe Azure File Storage
• Identify Basic Management Tasks for Non-Relational Data
  • Describe Provisioning and Deployment of Non-Relational Data Services
  • Describe Method for Deployment Including ARM Templates and Azure Portal
  • Identify Data security components (e.g., Firewall, Authentication)
  • Identify Basic Connectivity Issues (e.g., Accessing from On-Premises, Access with Azure VNets, Access from Internet, Authentication, Firewalls)
  • Identify Management Tools for Non-Relational Data

Module 4: Describe an Analytics Workload on Azure

• Describe Analytics Workloads
  • Describe Transactional Workloads
  • Describe the Difference Between a Transactional and an Analytics Workload
  • Describe the Difference between Batch and Real Time
  • Describe Data Warehousing Workloads
  • Determine when a Data Warehouse Solution is Needed
• Describe the components of a Modern Data Warehouse
  • Describe Azure Data Services for Modern Data Warehousing such as Azure Data Lake, Azure Synapse Analytics, Azure Databricks, and Azure HDInsight
  • Describe Modern Data Warehousing Architecture and Workload
• Describe Data Ingestion and Processing on Azure
  • Describe Common Practices for Data Loading
  • Describe the Components of Azure Data Factory (e.g., Pipeline, Activities, etc.)
  • Describe Data Processing Options (e.g., HDI, Azure Databricks, Azure Synapse Analytics, Azure Data Factory)
• Describe Data Visualization in Microsoft Power BI
  • Describe the Role of paginated Reporting
  • Describe the Role of Interactive Reports
  • Describe the Role of Dashboards
  • Describe the Workflow in Power BI

About the Trainer

A Certified Microsoft Azure Trainer

Other Details

Questions?

For latest batch dates, fees, location and general inquiries, contact our sales team at: +91 8880002200 or email at sales@cloudthat.in