Microsoft Azure datu pamati

Kursā iegūsi pamata zināšanas par datu koncepcijām un ar tām saistītajiem Microsoft Azure datu pakalpojumiem. Kursā uzzināsi par galvenajiem datu jēdzieniem, piemēram, relācijām, ne-relācijām, lielajiem datiem un to analīzi. Tāpat kursā papildināsi savas zināšanas par mākoņa datu pakalpojumiem Microsoft Azure platformā, relāciju datu bāzēm Azure platformā, ne-relāciju datu galbāšanu un Azure Cosmos DB. Kursa apmeklētāji uzzinās par liela apjoma datu glabāšanu, reāllaika analīzi un datu vizualizāciju.

Kursa ilgums, akadēmiskās stundas: 8
Cena (bez PVN): 350,00 
Cena (ar PVN): 423,50 
Pasniedz: Māris Riņģis

Plāni

14. maijs, 2024
Vieta:
Attālināti
Valoda:
lv
Pasniedz:
Māris Riņģis
Cena (bez PVN):
350,00 
Cena (ar PVN):
423,50 
Sazināties

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Nodarbību grafiks:
14.05.2024 09:00-16:15
Kursa mērķis

The DP-900T00 course is designed to provide an introduction to the fundamental concepts of data and data processing in Microsoft Azure.
The course covers topics such as data storage and management, data processing, and basic data analytics.
By the end of the course, participants should be able to understand the different types of data storage options available in Azure, as well as how to ingest, transform, and analyze data using various Azure tools and services.
Participants should also be able to use Azure services such as Azure Synapse Analytics and Power BI to visualize and report on data insights.

Kursa mērķauditorija

The audience for this course is individuals who want to learn the fundamentals of database concepts in a cloud environment, get basic skilling in cloud data services, and build their foundational knowledge of cloud data services within Microsoft Azure.

Pēc mācībām tu spēsi
  1. Understand the different types of data storage options available in Azure, such as Azure SQL Database, Azure Cosmos DB, and Azure Data Lake Storage. You would also be familiar with basic concepts such as data modeling and indexing, as well as more advanced topics such as scalability and performance tuning.
  2. Understand concepts such as data ingestion, transformation, and analysis using tools such as Azure Data Factory and Azure Databricks. You would also be familiar with basic programming concepts such as SQL and Python, and know how to use them to manipulate and analyze data.
  3. Understand how to use Azure services such as Azure Synapse Analytics and Power BI to gain insights from data. You would be familiar with concepts such as data visualization, dashboarding, and reporting, and know how to use these tools to communicate your findings effectively.

Overall, the DP-900T00 course is a great way to gain a foundational understanding of data processing and analytics in the context of Microsoft Azure, and can be a valuable asset for anyone looking to work in a data-related field.

Kursa apmeklēšanas priekšnoteikumi

Prerequisite certification is not required before taking this course. Successful Azure Data Fundamentals students start with some basic awareness of computing and Internet concepts, and an interest in extracting insights from data.

Specifically:

  • Experience using a web browser, such as Microsoft Edge.
  • Familiarity with basic data-related concepts, such as working with tables of data in a spreadsheet and visualizing data using charts.
  • A willingness to learn through hands-on exploration.
Mācību materiāli

Elektroniski mācību materiāli Microsoft Learn mācību vidē
Piekļuve kursa praktisko darbu videi 180 dienas pēc kursa uzsākšanas

Sertifikācijas eksāmens

This course helps you prepare for the following Microsoft Certification exam:

Kursa programma

1. Explore core data concepts

  • Core data concepts
  • Data roles and Services

2. Explore fundamentals of relational data in Azure

  • Explore relational data offerings in Azure
  • Explore Azure services for relational data

3. Explore fundamentals of non-relational data in Azure

  • Fundamentals of Azure Storage
  • Fundamentals of Azure Cosmos DB

4. Explore fundamentals of data analytics

  • Large-scale data warehousing
  • Streaming and real-time analytics
  • Data visualization

Ja vēlies iegūt vairāk informācijas par šo kursu, sazinies ar mums pa tālruni 67505091 vai raksti mums e-pastu uz mrn@bda.lv.