Azure Implementing an Azure Data Solution Path Exam DP-200
il corso "Azure Data Solution" è un focus sulla Data Architecture e sui servizi /tecnologie relativi ai Dati/informazioni che possono essere implementati tramite Azure Cloud Data Services.
il corso è correlato ad ulteriori topic "Data" anche materia di ulteriori corsi progettati da First Consulting in piena adesione al programma di certificazione Microsoft.
Importante Key Point per la knowldege obiettivo del corso è anche l'evoluzione dello "Storage" in ambito Cloud per soluzioni "classiche" SQL estendibili con tecnologie No e Like SQL , Data Lake, DB Multi model e riferimento al nuovo "Shift Paradigm" denominato Data Mesh.
DURATA
Min. 8 gg piano formativo personalizzabile
ATTESTATI
Attestato Partecipazione First Consulting
CERTIFICAZIONI
Propedeutico
Dp-200
KEY POINT
Azure Data Architecture
Azure Data Design
Programma
Implement Data Storage Solutions
Implement non-relational data stores
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implement a solution that uses Cosmos DB, Data Lake Storage Gen2, or Blob storage
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implement data distribution and partitions
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implement a consistency model in Cosmos DB
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provision a non-relational data store
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provide access to data to meet security requirements
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implement for high availability, disaster recovery, and global distribution
Implement relational data stores
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provide access to data to meet security requirements implement for high availability and disaster recovery implement data distribution and partitions for Azure Synapse Analytics implement PolyBase
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Manage data security
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implement data masking
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encrypt data at rest and in motion
Manage and Develop Data Processing
Develop batch processing solutions
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develop batch processing solutions by using Data Factory and Azure Databricks
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Ingest data by using PolyBase
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implement the integration runtime for Data Factory
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create linked services and datasets
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create pipelines and activities
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create and schedule triggers
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implement Azure Databricks clusters, notebooks, jobs, and autoscaling
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ingest data into Azure Databricks
Develop streaming solutions
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Configure input and output
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select the appropriate built-in functions
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implement event processing by using Stream Analytics
​
Manage and Develop Data Processing
Develop batch processing solutions
-
develop batch processing solutions by using Data Factory and Azure Databricks
-
ingest data by using PolyBase
-
implement the integration runtime for Data Factory
-
create linked services and datasets
-
create pipelines and activities
-
create and schedule triggers
-
implement Azure Databricks clusters, notebooks, jobs, and autoscaling
-
ingest data into Azure Databricks
​
Develop streaming solutions
-
configure input and output
-
select the appropriate built-in functions
-
implement event processing by using Stream Analytics
Obiettivi
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Azure Data Solution:
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Data e information Azure Reference Architecture
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Data service e Services Capabilties
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Evoluzione RDBMN SQL a NO SQL , Cosmos DB , Graph DB
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Data Streaming Solutions tramite Azure
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Data design pattern e Best Pratice tramite Azure Data Services
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introduzione a Data Mesh
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