Here are the key capabilities of Microsoft Azure Data Lake Analytics:
- Data Lake compatible with Hadoop distributions such as Apache Hadoop, Spark, and Kafka
- Data Lake can store trillions of data files i.e. petabytes of data
- Data Lake uses parallel processing in order to handle a huge volume of data
- Data Lake is fault-tolerant since the data is replicated three times in the cluster
- Data Lake makes the data ingestion with high speed effectively
If you are interested in Azure Data Lake, you can take up this Azure Data Factory certification program by Intellipaat.
You can watch this video on Azure Data Lake to know about the parts of Azure Data Lake in detail:
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