考试内容总览
|------------------------------------------------------------|------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
| Learning Objects: | 工具 |
| Designing and implementing data storage | 1. Storage Azure Synapse Analytics Azure Databricks Azure Data Lake Storage Gen2(ADLS2，可代替Hadoop Distributed File System也就是HDFS) 2. Shard Partition data store in to multiple shards。分块技术提高效率 3. Serving Layer |
| Designing and developing data processing | 1. Investing and transforming data Transform data: Apache Spark和SQL Transform feature: Azure Data Factory(ADF) 可以从storage A导入数据，transform，存入storage B； Azure Synapse Pipelines是ADF的子集，集成在Azure Synapse Analytics里； Stream Analytics老，用SQL语句 2. Batch Processing Azure Data Factory(ADF) Azure Synapse Pipelines Azure Databricks Azure Data Lake Storage Gen2(ADLS2) 3. Stream Processing Stream Analytics Azure Databricks Azure Event Hubs 4. Manage batches and Pipelines Azure Data Factory(ADF) Azure Synapse Pipelines |
| Designing and implementing data security | 加密等等 |
| Monitoring and optimizing data storage and data processing | 1. Monitor Azure Monitor 2. Optimize Azure Data Factory(ADF) Azure Databricks Azure Synapse Analytics |
Storage方案
|------------------------|------------------------------------------------------------------------------------|
| Raw Storage | Azure Blob Storage Azure File Storage Azure Data Lake Storage Gen2 (ADLS2) |
| Relational DBs Storage | Azure SQL Database Azure DB for MySQL Azure DB for MariaDB Azure DB for PostgreSQL |
| NoSQL DBs | Azure Cosmos DB Azure Cache for Redis |