This is the 50th post of the Azure Data Engineering blog. Lets take this opportunity to review and test our familiarity with various Azure Data Platform services. Below is a list of 25 Azure Services and next to it, is a jumbled list of 25 short descriptions (from a to y). For the exercise, please match the Service Name with the correct description.
| Azure Service | Description | ||
|---|---|---|---|
| 1 | Blob Storage | a | Cloud Gateway for IoT devices |
| 2 | Queue Storage | b | Analyze timestamp data |
| 3 | Disk Storage | c | Structured storage for all kinds of data |
| 4 | Data Lake Storage Gen2 | d | Unstructured storage for all kinds of data |
| 5 | SQL Database | e | Manage deployments |
| 6 | CosmosDB | f | Message store service |
| 7 | Synapse Analytics | g | Metrics and Log Management |
| 8 | Data Factory | h | Storage for Virtual Machines |
| 9 | Stream Analytics | i | Ingest Big Data Steams |
| 10 | IOT Hub | j | Handle steaming data on-prem |
| 11 | Event Hub | k | Query Logs |
| 12 | HDInsight | l | Cloud version of SQL Server |
| 13 | Databricks | m | High availability Multi-model Datastore |
| 14 | Data Catalog | n | Data Warehousing Solution |
| 15 | Analysis Services | o | Analyze Streaming data |
| 16 | Time Series Insights | p | Personalized cloud consultant |
| 17 | Functions | q | Azure implementation of Hadoop |
| 18 | Event Grid | r | OLAP layer for modelling data |
| 19 | IOT Edge | s | Azure implementation of Spark |
| 20 | Monitor | t | Azure version of MySQL |
| 21 | Log Analytics | u | ETL and Task orchestration |
| 22 | Resource Manager | v | Data Dictionary |
| 23 | Database for PostgreSQL | w | Connect data sources and Event Handlers |
| 24 | Database for MySQL | x | Serverless computing |
| 25 | Advisor | y | Azure version of PostgreSQL |
Azure Data Engineering 
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