Data Engineering on Microsoft Azure | DP-203
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Data Engineering on Microsoft Azure | DP-203
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Best provider of the NetherlandsWinner of the "Best learning provider of the Netherlands 2017" award: #2 in Automatisering & ICT/IT. Winner of the "Best learning provider of the Netherlands 2016" award: #3 in Automatisering & ICT/IT. Read here about these awards.Starting dates and places
CLS Computertrainingen offers this product as a default in the following regions: Assen, Drachten, Groningen, Heerenveen, Leeuwarden
Description
Klassikaal bij ons, of (als maatwerk) bij jou op het bedrijf
Al meer dan 25 jaar verzorgen onze professionele trainers klassikale, virtuele en maatwerktrainingen op meerdere locaties door het hele land. Wij komen de training ook graag bij jullie op locatie verzorgen.
Microsoft Azure is a set of cloud computing services that constantly continues to grow. Azure helps your organization solve all kinds of business challenges. With Azure, your organization has the free
In the course Data Engineering on Microsoft Azure (DP-203) you 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. You will begin by understanding the core compute and storage technologies that are used to build an analytical solution. You will then explore how to design an analytical serving layers and focus on data engineering considerations for working with source files.
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Frequently asked questions
There are no frequently asked questions yet. If you have any more questions or need help, contact our customer service.
Klassikaal bij ons, of (als maatwerk) bij jou op het bedrijf
Al meer dan 25 jaar verzorgen onze professionele trainers klassikale, virtuele en maatwerktrainingen op meerdere locaties door het hele land. Wij komen de training ook graag bij jullie op locatie verzorgen.
Microsoft Azure is a set of cloud computing services that constantly continues to grow. Azure helps your organization solve all kinds of business challenges. With Azure, your organization has the free
In the course Data Engineering on Microsoft Azure (DP-203) you
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. You will begin by
understanding the core compute and storage technologies that are
used to build an analytical solution. You will then explore how to
design an analytical serving layers and focus on data engineering
considerations for working with source files.
You will learn how to interactively explore data stored in files in
a data lake. Then you 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.
You will also learn the various ways they can transform the data
using the same technologies that is used to ingest data. You
will spend time on the course learning how to monitor and analyze
the performance of analytical system so that you can optimize the
performance of data loads, or queries that are issued against the
systems.
You will understand the importance of implement
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