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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

  • implement a solution that uses Cosmos DB, Data Lake Storage Gen2, or Blob storage

  • implement data distribution and partitions

  • implement a consistency model in Cosmos DB

  • provision a non-relational data store

  • provide access to data to meet security requirements

  • implement for high availability, disaster recovery, and global distribution

 

Implement relational data stores

  • 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

Manage data security

  • implement data masking

  • encrypt data at rest and in motion

 

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

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

Azure Data Solution:

  • Data e information Azure Reference Architecture 

  • Data service e Services Capabilties  

  • Evoluzione RDBMN SQL a NO SQL , Cosmos DB , Graph DB

  • Data Streaming Solutions tramite Azure 

  • Data design pattern e Best Pratice tramite Azure Data Services

  • introduzione a Data Mesh 

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