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DP-203 Data Engineering on Microsoft Azure OEM Certkit

DP-203 Data Engineering on Microsoft Azure OEM Certkit

€ 299,00 € 361,79 Excl. btw

DP-203 Data Engineering on Microsoft Azure Gecertificeerde docenten Quizzen Online mentor MeasureUp testexamen Live Labs Tips trucs Certificaat.

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DP-203 Data Engineering on Microsoft Azure E-Learning OEM Certkit

De Training DP-203 Data Engineering on Microsoft Azure via een Speciale Certificeringspakket. 1 Jaar toegang tot revolutionaire E-Learning om het examen Gemakkelijk te halen. Laat je Introduceren door te Leren via 1 Leerportaal (LMS) met Gecertificeerde Docenten. Exclusief 24/7 Online Mentor en Uitdagende Cursus Testen en Bekijk Achter de schermen alle Tips & Tricks.

Zodra u gegevens in opslag heeft, moet u een mechanisme hebben om de gegevens om te zetten in een bruikbaar formaat. Azure Data Factory is een gegevensintegratieservice die wordt gebruikt om geautomatiseerde gegevenspijplijnen te maken die kunnen worden gebruikt om gegevens te kopiëren en te transformeren. In deze cursus leer je over de Azure Data Factory en de Integration Runtime. Je verkent de functies van de Azure Data Factory, zoals gekoppelde services en datasets, pijplijnen en activiteiten, en triggers. Ten slotte leert u hoe u een Azure Data Factory maakt met behulp van de Azure-portal, Azure Data Factory-gekoppelde services en gegevenssets maakt, Azure Data Factory-pijplijnen en -activiteiten maakt en de pijplijn handmatig of met behulp van een planning activeert. Deze cursus is er een in een verzameling die studenten voorbereidt op het Microsoft Data Engineering on Microsoft Azure (DP-203) examen.

Cursusinhoud

DP-203 - Data Engineering on Microsoft Azure: Storage Accounts

Course: 1 Hour, 12 Minutes

Course Overview
Azure Blob Storage
Blob Storage Performance and Scalability
Azure Storage Geo-redundancy
Storage Account Disaster Recovery
Azure Data Lake Storage Gen
Big Data Processing with Data Lake
Planning a Data Lake
Data Lake Storage Best Practices
Creating a Data Lake Gen2 Account
Course Summary

DP-203 - Data Engineering on Microsoft Azure: Designing Data Storage Structures

Course: 1 Hour, 9 Minutes

Course Overview
Designing a Data Lake
Big Data File Type Planning
Big Data File Formats
Designing Table Storage for Querying
Dynamic Data Pruning
Designing a Folder Structure
Data Lake Zones
Storage Archiving Tier
Data Archiving, Rehydrating, and Life Cycle Management
Course Summary

DP-203 - Data Engineering on Microsoft Azure: Data Partitioning

Course: 1 Hour, 3 Minutes

Course Overview
Partitioning Data
Data Partitioning Strategies
Transactional and Analytical Workloads
File Partition Strategies
Partitioning Strategies for Table Storage
Designing for Efficiency and Performance
Partitioning Azure Synapse Analytics Dedicated Pools
Partitioning Data Lakes
Data Sharding for Scaling
Course Summary

DP-203 - Data Engineering on Microsoft Azure: Designing the Serving Layer

Course: 1 Hour, 13 Minutes

Course Overview
Dimensional Modeling
Dimensional Hierarchies
Slowly Changing Dimensions
Temporal Design
Star and Snowflake Schemas
Designing a Star Schema
Implementing Incremental Data Loading
Choosing an Analytical Data Store
Metastore Design
Course Summary

DP-203 - Data Engineering on Microsoft Azure: Physical Data Storage Structures

Course: 1 Hour, 5 Minutes

Course Overview
Data Compression
Partitioning Data
Sharding Data
Designing Tables
Ensuring Database Data Redundancy
File and Blob Data Redundancy
Implementing Distribution Schemes
Implementing Data Archiving
Configuring Database Long-term Retention
Course Summary

DP-203 - Data Engineering on Microsoft Azure: Logical Data Structures

Course: 1 Hour, 32 Minutes

Course Overview
Data Lake Maturity
Temporal Database Tables
Managing Temporal Tables
Slowly Changing Dimensions
Building a Slowly Changing Dimension Type
Building a Slowly Changing Dimension Type
Folder Structures
Using External Tables
Accelerating Queries
Course Summary

DP-203 - Data Engineering on Microsoft Azure: The Serving Layer

Course: 1 Hour, 5 Minutes

Course Overview
Relational and Star Schemas
Designing a Star Schema Database
Parquet Files
Dimensional Hierarchies
Deploying Azure Synapse Analytics
Deploying Azure Synapse Analytics Dedicated SQL Pools
Deploying Azure Synapse Analytics Apache Spark Clusters
Shared Metadata Tables
Implementing Shared Metadata Tables
Course Summary

DP-203 - Data Engineering on Microsoft Azure: Data Policies & Standards

Course: 1 Hour, 7 Minutes

Course Overview
Azure Key Vault
Private and Service Endpoints
Using Managed Virtual Networks and Private Endpoints
Azure Managed Identities
Managing Access Control Lists
Using Azure Role-based Access Control
Azure Databricks Token-based Authentication
Implement Azure Databricks Token Authentication
Managing Temporal Table Retention Policies
Auditing on an Azure SQL Database
Course Summary

DP-203 - Data Engineering on Microsoft Azure: Securing Data Access

Course: 1 Hour, 7 Minutes

Course Overview
Azure Key Vault
Private and Service Endpoints
Using Managed Virtual Networks and Private Endpoints
Azure Managed Identities
Managing Access Control Lists
Using Azure Role-based Access Control
Azure Databricks Token-based Authentication
Implement Azure Databricks Token Authentication
Managing Temporal Table Retention Policies
Auditing on an Azure SQL Database
Course Summary

DP-203 - Data Engineering on Microsoft Azure: Securing Data

Course: 1 Hour, 22 Minutes

Course Overview
Azure Data Encryption
Managing Transparent Data Encryption
Database Encryption
Implementing Always Encrypted
Encrypting Database Columns
Applying Row-level Security
Working with DataFrames
Securing Azure Database Data
Utilizing Immutable Blobs
Course Summary

DP-203 - Data Engineering on Microsoft Azure: Data Lake Storage

Course: 1 Hour, 48 Minutes

Course Overview
Azure Data Lake Storage Gen
Creating a Data Lake Storage Gen2 Storage Account
Managing Azure Data Lake Storage Gen
Extracting Data from Azure Data Lake Storage Gen
Transforming Data Using Apache Spark
Transforming Data Using Data Factory
Transforming Azure Synapse Pipelines
Streaming Data to Azure Databricks
Transforming Data with Databricks
Course Summary

DP-203 - Data Engineering on Microsoft Azure: Data Flow Transformations

Course: 1 Hour, 24 Minutes

Course Overview
Azure Data Flow Transformations
Using Azure Data Mapping Data Flows
Performing an Azure Data Flow Conditional Split
Using Azure Data Flow Conditional Flatten
Azure Data Flow Expression Functions
Configuring Azure Data Flow Error Handling
Transforming Azure Data Flow Derived Columns
Transforming Data Using Azure Spark and Scala
Handling Duplicate Data in Azure Data Flows
Course Summary

DP-203 - Data Engineering on Microsoft Azure: Data Factory

Course: 2 Hours, 24 Minutes

Course Overview
Azure Data Factory Triggers
Creating an Azure Data Factory
Handling Schema Drift in Data Flow
Creating Data Factory Pipelines
Creating Data Factory Triggers1
Optimizing Pipelines in the Data Factory Pipeline
Utilizing Upsert with Azure SQL
Troubleshooting in Azure Stream Analytics
Designing and Implementing Incremental Data Loads
Designing and Developing Slowly Changing Dimensions
Securing Data in Azure Data Factory
Course Summary

DP-203 - Data Engineering on Microsoft Azure: Databricks

Course: 1 Hour, 3 Minutes

Course Overview
Partitioning Data
Data Partitioning Strategies
Transactional and Analytical Workloads
File Partition Strategies
Partitioning Strategies for Table Storage
Designing for Efficiency and Performance
Partitioning Azure Synapse Analytics Dedicated Pools
Partitioning Data Lakes
Data Sharding for Scaling
Course Summary

DP-203 - Data Engineering on Microsoft Azure: Databrick Processing

Course: 1 Hour, 50 Minutes

Course Overview
Azure Databricks Processing
Creating an Azure Databricks Workspace
Running Azure Databricks Workspace Jobs
Querying SQL Server
Failed Batch Loads
Implementing Cosmos DB Endpoints
Extracting, Transforming, and Loading Data
Performing Sentiment Analysis
Debugging Spark Job
Course Summary

DP-203 - Data Engineering on Microsoft Azure: Stream Analytics

Course: 1 Hour, 12 Minutes

Course Overview
Azure Stream Analytics
Azure Stream Analytics Inputs
Azure Stream Analytics Outputs
Azure Stream Analytics User-defined Functions
Processing Data by Using Spark Structured Streaming
Stream Analytics Windowing Functions
Setting Up and Processing Time Series Data
Creating a Stream Analytics Job
Course Summary

DP-203 - Data Engineering on Microsoft Azure: Synapse Analytics

Course: 46 Minutes

Course Overview
Azure Synapse Analytics
Integrating With Pipelines
Visualizing Data Using Power BI
Monitoring a Synapse Workspace
Exploring the Synapse Knowledge Center
Azure Synapse Analytics and PolyBase
Course Summary

DP-203 - Data Engineering on Microsoft Azure: Data Storage Monitoring

Course: 58 Minutes

Course Overview
Azure Data Storage Monitoring
Monitoring Azure Blob Storage
Monitoring Data Lake Storage Gen
Monitoring Azure Synapse Analytics
Monitoring Cosmos DB
Configuring Azure Monitoring Alerts
Azure Log Analytics
Configuring Azure Log Analytics
Monitoring Azure Stream Analytics
Azure Cosmos DB Indexing
Course Summary

DP-203 - Data Engineering on Microsoft Azure: Data Process Monitoring

Course: 1 Hour, 31 Minutes

Course Overview
Azure Monitor
Creating Azure Monitor Metrics
Analyzing Azure Resource Logs
Querying Azure Monitor Logs
Creating Log Analytics Dashboards
Azure HDInsight
Monitoring Data Factory Pipelines
Monitoring and Tuning Query Performance
Monitoring Azure Log Analytics
Azure Data Factory Version Control
Azure Monitor Cluster Monitoring
Azure Monitor Custom Logging
Azure Monitor Logic App
Course Summary

DP-203 - Data Engineering on Microsoft Azure: Data Solution Optimization

Course: 58 Minutes

Course Overview
Azure Data Solution Optimization
Azure Stream Analytics Optimization
Data Partitioning Strategies
Azure Data Lake Storage Gen2 Optimization
Azure Synapse Analytics Optimization
Azure Cosmos DB Optimization
Azure Databricks Monitoring
Azure Databricks Optimization
Azure Data Troubleshooting
Course Summary

Levertijd Binnen 1 werkdag
Online toegang 365 dagen
Lesduur 25:39 uur
Studiebelasting Variabel i.v.m. praktijkopdrachten.
Leermethoden Instructie video, Demonstratie video, Knowledge Base
Besturingssystemen Microsoft Windows, Google Chrome OS, Apple MacOS
Inbegrepen dienstverlening Contact met docent per mail en chat, Voortgangsrapportage, 24/7 online toegang
Ondersteunde browsers Internet Explorer, Edge, Firefox, Safari en Chrome
MOS Examen Mogelijk voor bijbehorend examennummer
Toegang tot docent Per e-mail en chat
Extra Opties Virtual Labs (indien beschikbaar)

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