DP-203 Data Engineering on Microsoft Azure DP-203

Data Engineering on Microsoft Azure DP-203 | DP203 certificeringspakket: officiële cursussen, praktische labs, MeasureUp proefexamens, handige tips en meer!

• Taal: Engels
• Doelgroep: ICT professionals die alles willen leren over Microsoft Azure
• Vereiste kennisniveau: Geen
• Cursusduur: 26:09 u (afhankelijk van persoonlijke snelheid)
• Online toegang: 24/7, 365 dagen na activatie
• MeasureUp Examensimulatie (150+ vragen)
• Award Winning E-learning
• Volledige training voor het officiële Examen
• User-friendly engine
• Inclusief Online Docent (via e-mail en chat)
• Inclusief Certificaat van Deelname

CertKit content:

E-learning courses

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

Trainingsduur: 1:12u

• 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

Trainingsduur: 1:09u

• 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

Trainingsduur: 1:03u

• 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

Trainingsduur: 1:13u

• 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

Trainingsduur: 1:05u

• 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

Trainingsduur: 1:32u

• 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

Trainingsduur: 1:05u

• 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

Trainingsduur: 1:07u

• 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

Trainingsduur: 1:07u

• 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

Trainingsduur: 1:22u

• 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

Trainingsduur: 1:48u

• 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

Trainingsduur: 1:24u

• 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

Trainingsduur: 2:24u

• Course Overview
• Azure Data Factory Triggers
• Creating an Azure Data Factory
• Handling Schema Drift in Data Flow
• Creating Data Factory Pipelines
• Creating Data Factory Triggers
• 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

Trainingsduur: 1:03u

• 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

Trainingsduur: 1:50u

• 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

Trainingsduur: 1:12u

• 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

Trainingsduur: 46 minuten

• 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

Trainingsduur: 58 minuten

• 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

Trainingsduur: 1:31u

• 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

Trainingsduur: 58 minuten

• 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

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• 190+ questions

Online Mentor

The online mentor can answer all your specific technical questions via chat or email related to your studies.
Online Mentor is active for 90 days or 365 days - after activation!

Tips, Tricks & Links

Maak gebruik van onze uitgebreide verzameling tips, trucs en links die speciaal zijn ontworpen om jouw voorbereiding op certificeringsexamens te ondersteunen. Deze resources bieden waardevolle inzichten en beproefde strategieën om je studie effectiever te maken. Versterk je leerervaring en benader je examens met vertrouwen!

Practice Labs - Virtual Labs (optie)

Practice Labs - Virtual Labs biedt je een veilige, online omgeving waar je praktische IT-vaardigheden kunt ontwikkelen door directe interactie met echte software en hardware configuraties. Onze virtuele labs stellen je in staat om op elk moment en vanaf elke locatie te leren en te experimenteren met verschillende technologieën. Dit is een ideale tool om je voor te bereiden op IT-certificeringen en je vaardigheden aan te scherpen in een risicovrije setting.

Specificaties

Taal: Engels
Kwalificaties van de Instructeur: Gecertificeerd
Cursusformaat en Lengte: Lesvideo's met ondertiteling, interactieve elementen en opdrachten en testen
MeasureUp Examensimulatie: Ingebrepen
Online Virtuele labs: Ontvang 12 maanden toegang tot virtuele labs die overeenkomen met de traditionele cursusconfiguratie. Actief voor 365 dagen na activering, beschikbaarheid varieert per Training.
Tips & Tricks: Inbegrepen
Examen Quiz: Inbegrepen
Volledige training voor het officiële Examen: Ja
Lesduur: 26:09 uur
Voortgangsbewaking: Ja
Toegang tot Materiaal: 365 dagen
Technische Vereisten: Computer of mobiel apparaat, Stabiele internetverbindingen Webbrowserzoals Chrome, Firefox, Safari of Edge.
Support of Ondersteuning: Helpdesk en online kennisbank 24/7
Certificering: Certificaat van deelname in PDF formaat
Prijs en Kosten: Cursusprijs zonder extra kosten
Annuleringsbeleid en Geld-Terug-Garantie: Wij beoordelen dit per situatie
Award Winning E-learning: Ja

Tip! Zorg voor een rustige leeromgeving, tijd en motivatie, audioapparatuur zoals een koptelefoon of luidsprekers voor audio, accountinformatie zoals inloggegevens voor toegang tot het e-learning platform.