Data Services Design
Azure 2018
14 Videos | 46m 2s - Includes Assessment
- Earns a Badge
Explore big data processing resulting in meaningful insights, as well as services such as Azure Data Lake and Azure Data Catalog.
WHAT YOU WILL LEARN
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explain how meaningful insights can be gained from data analysis
describe when the Azure Data Catalog should be used to analyze data
use the portal to create an Azure Data Catalog
use the portal to make data assets known to the Azure Data Catalog
access registered asset data through the Azure Data Catalog
describe when the Azure Data Factory should be used to analyze data
use the portal to create an Azure Data Factory -
expose Azure blob data as an Azure Data Factory dataset
use the portal to enable an Azure Data Factory pipeline
describe when the Azure SQL Data Warehouse should be used
use the portal to create an Azure SQL Data Warehouse
list the benefits of using Azure Data Lake Analytics
list the benefits of using Azure HDInsight
select the appropriate Azure big data analytic solution to address business needs
IN THIS COURSE
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1.Data Analysis Overview3m 15sUP NEXT
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2.Azure Data Catalog3m 9s
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3.Provision an Azure Data Catalog2m 5s
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4.Register Assets with the Data Catalog1m 35s
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5.Search the Azure Data Catalog1m 59s
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6.Azure Data Factory2m 30s
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7.Provision an Azure Data Factory Using the GUI1m 24s
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8.Provision Azure Data Factory Datasets4m 40s
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9.Configure an Azure Data Factory Pipeline2m 45s
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10.Azure SQL Data Warehouse3m 54s
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11.Provision an Azure SQL Data Warehouse4m 26s
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12.Azure Data Lake Analytics2m 15s
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13.Azure HDInsight1m 47s
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14.Exercise: Azure Analysis Solutions3m 48s
EARN A DIGITAL BADGE WHEN YOU COMPLETE THIS COURSE
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