Data Warehousing with Azure: Managing Azure Data Lake Overview/Description Expected Duration Lesson Objectives Course Number Expertise Level Overview/Description Explore the advanced features of Azure Data Lakes with additional focus on managing various scenarios of data ingestion. Securing and tuning an Azure Data Lake for performance enhancement is also covered.
Expected Duration (hours)
1.0
Lesson Objectives Data Warehousing with Azure: Managing Azure Data Lake
define the benefits of using Azure Data Lake Storage to facilitate big data solutions
ingest large amounts of data into a data store
describe the different types of data that can be managed on Azure Data Lake
recall the different approaches of managing huge amounts of data using the Azure ExpressRoute
specify the different approaches of moving data from one source to another
move data from a specified source to another destination using AdlCopy
copy offline data to the Azure Data Lake Storage
describe the various security mechanisms that can be implemented to secure Azure Data Lake
secure data that is stored in the Azure Data Lake Storage
specify the various tuning tasks that can be applied on a data lake to enhance performance
recall the role of log analytics in creating service alerts and controlling the cost of Azure Data Lake
implement log analytics to facilitate alerts on identified thresholds
prepare and move offline data to the Azure Data Lake
Course Number: it_dfdwaz_06_enus
Expertise Level
Intermediate