Data Warehousing with Azure: Managing Azure Data Lake
Azure 2018
| Intermediate
- 13 Videos | 59m 18s
- Includes Assessment
- Earns a Badge
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.
WHAT YOU WILL LEARN
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define the benefits of using Azure Data Lake Storage to facilitate big data solutionsingest large amounts of data into a data storedescribe the different types of data that can be managed on Azure Data Lakerecall the different approaches of managing huge amounts of data using the Azure ExpressRoutespecify the different approaches of moving data from one source to anothermove data from a specified source to another destination using AdlCopycopy offline data to the Azure Data Lake Storage
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describe the various security mechanisms that can be implemented to secure Azure Data Lakesecure data that is stored in the Azure Data Lake Storagespecify the various tuning tasks that can be applied on a data lake to enhance performancerecall the role of log analytics in creating service alerts and controlling the cost of Azure Data Lakeimplement log analytics to facilitate alerts on identified thresholdsprepare and move offline data to the Azure Data Lake
IN THIS COURSE
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1.Azure Data Lake and Big Data5m 29sUP NEXT
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2.Ingesting Data in the Data Store2m 16s
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3.Data Sources for Azure Data Lake4m 40s
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4.Data Loading Approaches for Huge Data5m 4s
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5.Moving Data from a Data Lake to Other Sources5m 24s
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6.Moving Data Using AdlCopy4m 54s
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7.Using the Offline Copy Method2m 1s
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8.Security Mechanism for Azure Data Lake4m 24s
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9.Securing Data in Azure Data Lake3m 44s
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10.Tuning Data Lake4m 7s
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11.Log Analytics4m 21s
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12.Implementing Log Analytics6m 12s
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13.Exercise: Moving Offline Data6m 43s
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