Data Engineering on Microsoft Azure | DP-203 | DP203

Total time
Location
At location, Online
Starting date and place

Data Engineering on Microsoft Azure | DP-203 | DP203

DutchTrain
Logo DutchTrain
Provider rating: starstarstarstarstar_border 7.6 DutchTrain has an average rating of 7.6 (out of 57 reviews)

Tip: need more info about the programme, starting date or price? Request information for free!

1
Average rating for Data Engineering on Microsoft Azure | DP-203 | DP203
star_halfstar_borderstar_borderstar_borderstar_border
Michel de Wit
Senior Data Analist
1
Data Engineering on Microsoft Azure | DP-203 | DP203

"Goede trainer die met veel inzet heeft geprobeerde alle falende onderdelen van de cursus probeerde recht te breien. De cursus past met de labs absoluut niet in 4 dagen, kies een opleider die minimaal 5 dagen de tijd neemt om de stof van DP-203 goed door te nemen. In deze training moesten veel theorie presentaties worden afgeraffeld en konden alleen ervaren Azure/Synapse gebruiker alles afronden." - 2021-07-05 08:38

"Goede trainer die met veel inzet heeft geprobeerde alle falende onderdelen van de cursus probeerde recht te breien. De cursus past met de la… read full review - 2021-07-05 08:38

Starting dates and places

computer Online: Dynamic Virtual Classroom - Engels
27 May 2024 until 30 May 2024
placeNieuwegein Engels
27 May 2024 until 30 May 2024
computer Online: Dynamic Virtual Classroom
24 Jun 2024 until 27 Jun 2024
placeNieuwegein
24 Jun 2024 until 27 Jun 2024
computer Online: Dynamic Virtual Classroom - Engels
29 Jul 2024 until 1 Aug 2024
computer Online: Dynamic Virtual Classroom
26 Aug 2024 until 29 Aug 2024
placeNieuwegein
26 Aug 2024 until 29 Aug 2024
computer Online: Dynamic Virtual Classroom - Engels
23 Sep 2024 until 26 Sep 2024
placeNieuwegein Engels
23 Sep 2024 until 26 Sep 2024
computer Online: Dynamic Virtual Classroom
28 Oct 2024 until 31 Oct 2024
placeAmsterdam - Engels
25 Nov 2024 until 28 Nov 2024
computer Online: Dynamic Virtual Classroom - Engels
25 Nov 2024 until 28 Nov 2024
computer Online: Dynamic Virtual Classroom
16 Dec 2024 until 19 Dec 2024
placeNieuwegein
16 Dec 2024 until 19 Dec 2024

Description

Data Engineering on Microsoft Azure | DP-203

In this course, the student will learn about the data engineering patterns and practices as it pertains to working with batch and real-time analytical solutions using Azure data platform technologies. Students will begin by understanding the core compute and storage technologies that are used to build an analytical solution. They will then explore how to design an analytical serving layers and focus on data engineering considerations for working with source files. The students will learn how to interactively explore data stored in files in a data lake. They will learn the various ingestion techniques that can be used to load data using the Apache…

Read the complete description

Frequently asked questions

There are no frequently asked questions yet. If you have any more questions or need help, contact our customer service.

Data Engineering on Microsoft Azure | DP-203

In this course, the student will learn about the data engineering patterns and practices as it pertains to working with batch and real-time analytical solutions using Azure data platform technologies. Students will begin by understanding the core compute and storage technologies that are used to build an analytical solution. They will then explore how to design an analytical serving layers and focus on data engineering considerations for working with source files. The students will learn how to interactively explore data stored in files in a data lake. They will learn the various ingestion techniques that can be used to load data using the Apache Spark capability found in Azure Synapse Analytics or Azure Databricks, or how to ingest using Azure Data Factory or Azure Synapse pipelines. The students will also learn the various ways they can transform the data using the same technologies that is used to ingest data. The student will spend time on the course learning how to monitor and analyze the performance of analytical system so that they can optimize the performance of data loads, or queries that are issued against the systems. They will understand the importance of implementing security to ensure that the data is protected at rest or in transit. The student will then show how the data in an analytical system can be used to create dashboards, or build predictive models in Azure Synapse Analytics.

Doelstellingen

– Explore compute and storage options for data engineering workloads in Azure
– Design and Implement the serving layer
– Understand data engineering considerations
– Run interactive queries using serverless SQL pools
– Explore, transform, and load data into the Data Warehouse using Apache Spark
– Perform data Exploration and Transformation in Azure Databricks
– Ingest and load Data into the Data Warehouse
– Transform Data with Azure Data Factory or Azure Synapse Pipelines
– Integrate Data from Notebooks with Azure Data Factory or Azure Synapse Pipelines
– Optimize Query Performance with Dedicated SQL Pools in Azure Synapse
– Analyze and Optimize Data Warehouse Storage
– Support Hybrid Transactional Analytical Processing (HTAP) with Azure Synapse Link
– Perform end-to-end security with Azure Synapse Analytics
– Perform real-time Stream Processing with Stream Analytics
– Create a Stream Processing Solution with Event Hubs and Azure Databricks
– Build reports using Power BI integration with Azure Synpase Analytics
– Perform Integrated Machine Learning Processes in Azure Synapse Analytics

Voorkennis

Successful students start this course with knowledge of cloud computing and core data concepts and professional experience with data solutions.
– Microsoft Azure Fundamentals | AZ-900
– Microsoft Azure Data Fundamentals | DP-900

Voor wie

The primary audience for this course is data professionals, data architects, and business intelligence professionals who want to learn about data engineering and building analytical solutions using data platform technologies that exist on Microsoft Azure. The secondary audience for this course data analysts and data scientists who work with analytical solutions built on Microsoft Azure.

Inhoud

– Module 1: Explore compute and storage options for data engineering workloads
– Module 2: Design and implement the serving layer
– Module 3: Data engineering considerations for source files
– Module 4: Run interactive queries using Azure Synapse Analytics serverless SQL pools
– Module 5: Explore, transform, and load data into the Data Warehouse using Apache Spark
– Module 6: Data exploration and transformation in Azure Databricks
– Module 7: Ingest and load data into the data warehouse
– Module 8: Transform data with Azure Data Factory or Azure Synapse Pipelines
– Module 9: Orchestrate data movement and transformation in Azure Synapse Pipelines
– Module 10: Optimize query performance with dedicated SQL pools in Azure Synapse
– Module 11: Analyze and Optimize Data Warehouse Storage
– Module 12: Support Hybrid Transactional Analytical Processing (HTAP) with Azure Synapse Link
– Module 13: End-to-end security with Azure Synapse Analytics
– Module 14: Real-time Stream Processing with Stream Analytics
– Module 15: Create a Stream Processing Solution with Event Hubs and Azure Databricks
– Module 16: Build reports using Power BI integration with Azure Synpase Analytics
– Module 17: Perform Integrated Machine Learning Processes in Azure Synapse Analytics

Exclusief examen

DP-203 Data engineering on Microsoft Azure

DutchTrain is een officieel geaccrediteerd Test Center voor Pearson Vue Test, Prometric, Kryterion, Castle Worldwide, Certiport & PSI. U bent bij ons van harte welkom voor examens welke via deze Test Centers beschikbaar zijn. Examens kunnen elke dag, binnen kantooruren, worden afgenomen.

Duur

4 dagen

Meer informatie

Kijk op onze website voor gedetailleerde lesinhoud, examens en meer details van deze training.

Deze training is ook beschikbaar als:

– Maatwerktraining, neem hiervoor contact op met een van onze opleidingsadviseurs.

Aan al onze trainingen kunt klassikaal deelnemen. Daarnaast worden onze klassikale trainingen ook  gegeven via onze Dynamic Virtual Classroom. Zo kunt u kiezen voor de optie waar u zich prettig bij voelt. In onze Dynamic Virtual Classroom zijn zowel de docent als de cursisten zichtbaar met elkaar verbonden en kunnen documenten en beeldschermen met alle deelnemers worden gedeeld. Cursisten hebben de mogelijkheid, net zoals in een klassikale training, om zowel onderling als met de docent te communiceren en opdrachten te maken. Een actieve klassikale training maar dan op afstand.

Daarnaast zijn veel van onze trainingen ook beschikbaar als
E-Learning in onze Education On Demand Omgeving.
Deze E-Learning trainingen kunt u volgen vanaf iedere gewenste locatie, op ieder moment en heeft u 365 dagen toegang tot de online training.

Bij DutchTrain staan wij voor u klaar.

Dutchtrain "Verder niks nodig"

1
Average rating for Data Engineering on Microsoft Azure | DP-203 | DP203
Based on 1 review
star_halfstar_borderstar_borderstar_borderstar_border
Michel de Wit
Senior Data Analist
1
Data Engineering on Microsoft Azure | DP-203 | DP203

"Goede trainer die met veel inzet heeft geprobeerde alle falende onderdelen van de cursus probeerde recht te breien. De cursus past met de labs absoluut niet in 4 dagen, kies een opleider die minimaal 5 dagen de tijd neemt om de stof van DP-203 goed door te nemen. In deze training moesten veel theorie presentaties worden afgeraffeld en konden alleen ervaren Azure/Synapse gebruiker alles afronden." - 2021-07-05 08:38

"Goede trainer die met veel inzet heeft geprobeerde alle falende onderdelen van de cursus probeerde recht te breien. De cursus past met de la… read full review - 2021-07-05 08:38

There are no frequently asked questions yet. If you have any more questions or need help, contact our customer service.

Where should we send the information?

(optional)
(optional)
(optional)
(optional)
(optional)
(optional)
(optional)
We store your personal details, and share them with DutchTrain, in order to help you along via email and potentially via phone. You can find more info in our privacy policy.