- describe batch data
- describe streaming data
- describe the difference between batch and streaming data
- describe the characteristics of relational data
- describe data visualization (e.g., visualization, reporting, business intelligence (BI))
- 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
- identify the right data offering for a relational workload
- describe relational data structures (e.g., tables, index, views)
- describe and compare PaaS, IaaS, and SaaS solutions
- describe Azure SQL database services including Azure SQL Database, Azure SQL
- describe Azure Synapse Analytics
- describe Azure Database for PostgreSQL, Azure Database for MariaDB, and Azure Database for MySQL
- describe provisioning and deployment of relational data services
- describe method for deployment including the Azure portal, Azure Resource Manager templates, Azure PowerShell, and the Azure command-line interface (CLI)
- 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 Data Definition Language (DDL) versus Data Manipulation Language (DML)
- query relational data in Azure SQL Database, Azure Database for PostgreSQL, and Azure Database for MySQL
- 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
- 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
- describe provisioning and deployment of non-relational data services
- describe method for deployment including the Azure portal, Azure Resource Manager templates, Azure PowerShell, and the Azure command-line interface (CLI)
- identify data security components (e.g., firewall, authentication, encryption)
- 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
- 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 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., Azure HDInsight , Azure Databricks, Azure Synapse Analytics, Azure Data Factory)
- describe the role of paginated reporting
- describe the role of interactive reports
- describe the role of dashboards
- describe the workflow in Power BI
| Course | Length | Notes |
|---|---|---|
| Azure Data Fundamentals: Explore core data concepts | 1 hr 39 min | identify and describe core data concepts such as relational, non-relational, big data, and analytics, and explore how this technology is implemented with Microsoft Azure. You will explore the roles, tasks, and responsibilities in the world of data |
| Azure Data Fundamentals: Explore relational data in Azure | 1 hr 27 min | explore relational data offerings, provisioning and deploying relational databases, and querying relational data through cloud data solutions with Microsoft Azure |
| Azure Data Fundamentals: Explore non-relational data in Azure | 2 hr 24 min | explore non-relational data offerings, provisioning and deploying non-relational databases, and non-relational data stores with Microsoft Azure |
| Azure Data Fundamentals: Explore modern data warehouse analytics in Azure | 1 hr 51 min | explore the processing options available for building data analytics solutions in Azure. You will explore Azure Synapse Analytics, Azure Databricks, and Azure HDInsight |
| A Guide to Cloud - Summary Learning Path Videos | 20 videos | If you complete the Learning Path and then watch these video's you should be confident to pass the Data Fundamentals Exam |
| Reference | Objective | Item |
|---|---|---|
| Describe the difference between batch and streaming data | types of core data workloads | describe the difference between batch and streaming data |
| Choosing a batch processing technology in Azure | types of core data workloads | describe the difference between batch and streaming data |
| Choosing a stream processing technology in Azure | types of core data workloads | describe the difference between batch and streaming data |
| Real Time vs Batch Processing vs Stream Processing | types of core data workloads | describe the difference between batch and streaming data |
| Big Data Battle : Batch Processing vs Stream Processing | types of core data workloads | describe the difference between batch and streaming data |
| What Is Data Consistency? | types of core data workloads | describe the difference between batch and streaming data |
| Explore the characteristics of relational data | types of core data workloads | describe the characteristics of relational data |
| Relational vs. NoSQL data | types of core data workloads | describe the characteristics of relational data |
| Relational Data Model | types of core data workloads | describe the characteristics of relational data |
| Big data architecture style | types of core data workloads | describe the characteristics of relational data |
| Identify types of data and data storage | types of core data workloads | describe the characteristics of relational data |
| Description of the database normalization basics | types of core data workloads | describe the characteristics of relational data |
| Clustered and Nonclustered Indexes Described | types of core data workloads | describe the characteristics of relational data |
| Explore the characteristics of relational data | types of core data workloads | describe the characteristics of relational data |
| Understand data store models | types of core data workloads | describe the characteristics of relational data |
| Databases | types of core data workloads | describe the characteristics of relational data |
| Explore data analytics | Describe data analytics core concepts | describe analytics techniques |
| Describe, diagnose, and predict with IoT Analytics | Describe data analytics core concepts | describe analytics techniques |
| Descriptive, predictive, and prescriptive analytics: How are they different? | Describe data analytics core concepts | describe analytics techniques |
| Explore data visualization | Describe data analytics core concepts | describe data visualization |
| Describe data ingestion and processing | Describe data analytics core concepts | describe the concepts of data processing |
| Extract, transform, and load (ETL) | Describe data analytics core concepts | describe the concepts of data processing |
| SQL Server Integration Services | ||
| SSIS and Data Sources | ||
| What is Azure Data Factory? | ||
| Copy activity in Azure Data Factory | ||
| Find the analytics product you need | ||
| Load data into Azure Data Lake Storage Gen2 with Azure Data Factory | ||
| Introduction to Azure Data Lake Storage Gen2 | ||
| What is Azure SQL Database? | ||
| What is dedicated SQL pool (formerly SQL DW) in Azure Synapse Analytics? | ||
| FOUR TYPES OF BUSINESS ANALYTICS TO KNOW | ||
| Explore data analytics | ||
| Explore data visualization | ||
| Visualization types in Power BI | ||
| Tips and tricks for creating reports in Power BI Desktop | ||
| Visual types in Power BI | ||
| Features of the key influencers visual | ||
| Scatter charts, bubble charts, and dot plot charts in Power BI | ||
| Overview of data analysis |
My Relational Data Workload Notes
## Describe how to work with non-relational data on Azure (25-30%) My Non-Relational Data Workload Notes
| Reference | Objective | Notes |
|---|---|---|
| Understand data store models | ||
| Non-relational data and NoSQL | ||
| Identify the need for data solutions | ||
## Describe an analytics workload on Azure (25-30%)
| Reference | Objective | Notes |
|---|---|---|
| Online analytical processing (OLAP) | ||
| Online transaction processing (OLTP) | ||
| Describe the difference between batch and streaming data | ||