Azure Data Scientist Associate: Azure Data Platform Services
Azure 2021 | Intermediate
- 12 videos | 1h 16m 35s
- Includes Assessment
- Earns a Badge
One of the key components of Azure Cloud platform is the ability to store and process large amounts of data. Azure provides several data platforms for stored data and numerous services for processing data. In this course, you'll explore the differences between structured and unstructured data. You'll learn about some of the available data storage platforms, including Azure SQL Database, Azure Cosmos DB, Azure Data Storage, and Azure Data Lake Storage Gen2. In addition, you'll learn about the data processing services such as Azure Synapse Analytics, Azure Stream Analytics, Azure Databricks, Azure Data Factory, and Azure HDInsight, which are all available to perform operations on the data stored in each of the data platforms. This course is one in a collection that prepares learners for the Designing and Implementing a Data Science Solution on Azure (DP-100) exam.
WHAT YOU WILL LEARN
discover the key concepts covered in this coursedescribe the differences between structured and unstructured data types and how they can be stored in Azuredescribe the Azure SQL Database and when to use itdescribe Azure Cosmos DB and the API models that can be used with itdescribe how data can be stored using Azure Data Storagedescribe the features of the Azure Data Lake Storage Gen2 and when to use this storage type
describe the Azure Synapse Analytics platform and how it is used for data warehousing and big data analyticsdescribe how Azure Stream Analytics is used to process streaming datadescribe the features of Azure Databricksdescribe the features of the Azure Data Factorydescribe the features of Azure HDInsight for ingesting, processing, and analyzing big datasummarize the key concepts covered in this course
IN THIS COURSE
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