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Microsoft - Azure Academy: Data Deep Dive
Overview
Your accelerated 2-day Azure Academy course will deliver an Azure Data Deep Dive. You'll learn to use the Azure Analytics platform to transform your data into actionable insight. You'll also learn how to build advanced analytics and machine learning into your cloud-based big data applications.
Firebrand has worked closely with Microsoft and partners to develop this Azure Data Deep Dive course, which includes more than 80% in-depth technical content not found in Microsoft Official Curriculum.
You'll cover a range of exciting topics, as you learn how to:
- Build and secure an Azure Data Lake Store
- Create an Azure Machine Learning Workspace
- Use Microsoft Azure HDInsight to process Big Data
- Integrate Microsoft Azure HDInsight with Enterprise Data
- Design a predictive analytics solution using Azure ML
You'll be immersed in these Azure technologies as you experience Firebrand's Lecture | Lab | Review technique, enabling you to learn faster. You'll do this by combining theory with hands-on labs, enhanced by review sessions to reinforce learning and accelerate the building of your knowledge.
This course includes practical labs designed to develop skills that you can quickly transfer into real world working scenarios.
Bekijk nu de prijzen om erachter te komen hoeveel je kunt besparen als je tweemaal zo snel traint.
Zeven redenen waarom u met uw Azure Data Deep Dive cursus voor Firebrand Training moet kiezen
- U zult in slechts 2 dagen Azure Data Deep Dive gecertificeerd zijn. Met ons bent u in recordtijd Azure Data Deep Dive getraind
- Onze Azure Data Deep Dive cursus is all-inclusive. Een eenmalige contributie bekostigt alle cursusmaterialen, accommodaties en maaltijden.
- Slaag de eerste keer voor Azure Data Deep Dive of volg de training nogmaals. Dit is onze garantie. Wij zijn er zeker van dat u de eerste keer zult slagen voor uw Azure Data Deep Dive cursus. Mocht dit niet het geval zijn, dan kunt u binnen het jaar terugkomen en enkel voor de accommodatie en examens te betalen. De rest is gratis
- U zult meer Azure Data Deep Dive leren. Een dag met een traditionele training aanbieder duurt over het algemeen van 9 uur 's ochtends tot 17 uur in de middag, met een lange lunchpauze. Met Firebrand Training kunt u rekenen op minstens 12 uur leren per dag met uw instructeur
- U zult Azure Data Deep Dive snellerde theorie beheersen. De kans bestaat dat u een andere manier van leren heeft dan uw omgeving. Wij combineren visuele, auditieve en tastbare leerstijlen, dit zorgt voor een snellere en eenvoudigere manier van leren
- U zult Azure Data Deep Dive studeren met de beste. We hebben het Q-For kwaliteit label, dat onze standaarden en professionaliteit in de training markt erkent. Naast het winnen van nog vele andere prijzen, hebben we inmiddels 134561 professionals getraind en gecertificeerd en we zijn partners met alle grote namen in deze tak van het bedrijfsleven
- U zult meer doen dan alleen Azure Data Deep Dive de cursusstof bestuderen. We maken gebruik van laboratoria, case-studies en oefentests, om ervoor te zorgen dat u uw nieuwe kennis in uw werkomgeving kan toepassen. Onze instructeurs gebruiken demonstraties en hun eigen ervaringen om de dag interessant en boeiend te houden
Benefits
Curriculum
Module 1: Azure Data Factory
Introduction to Data Factory Concepts: In this topic you will learn what Azure Data Factory is and its key concepts.
Data Factory Operations: In this topic you will learn how to create datasets, understand data pipelines and activities to construct end-to-end data driven workflows, use the scheduling and execution aspects of Azure Data Factory application model, move data between stores.
Transform and Analyze Azure Data Factory: In this topic you will learn about data transformation activities in Azure Data Factory and how ADF transforms and processes raw data into predictions and insights using Hadoop, Azure Machine Learning, Stored Procedures, and Azure Data Lake Analytics.
Module 2: Azure Data Catalog
Introduction to Azure Data Catalog: In this topic you will learn what Azure Data Catalog is and how users can discover the data sources they need enabling Analysts, Data Scientists and Developers to discover, understand and consume data sources.
How to create an Azure Data Catalog: In this topic you will learn the how to provision and setup an Azure Data Catalog, Register Data Assets, Manage Data Assets configuring security, Annotating Data Assets and Removing Data Assets.
Discover and Manage Data Sources: In this topic you will learn how to use the Azure Data Catalog portal to discover data assets and connect to data assets using client tools such as Excel, SQL Server Data Tools and SQL Server Management Studio.
Azure Data Catalog and Big Data: In this topic you will learn how Azure Data Catalog supports the registration of Azure Blob Storage blobs and directories, and Hadoop HDFS files and directories.
Module 3: Azure Data Lake
Introduction to Data Lake Store: In this topic you will learn what Azure Data Lake Store is and its key concepts and capabilities making it easy for developers, data scientists and analysts to store data of any size, shape and speed, and do all types of processing and analytics across platforms and languages.
Create an Azure Data Lake Store: In this topic you will learn how to create an Azure Data Lake Store using the Azure Portal, PowerShell, .NET SDK, Java SDK, Visual Studio, and the Command-Line Interface (CLI), and how to enable diagnostic logs.
Data Lake Store Security: In this topic you will learn how Azure Data Lake Store provides industry-standard availability and reliability, redundant copies of data to guard against unexpected failures, Azure Active Directory for authentication and access control lists to manage access to data.
Data Lake Analytics: In this topic you will learn to write, run and manage on-demand analytics job using U-SQL Language.
Data Lake Store and Other Services: In this topic you will learn how about common use cases for Azure Data Lake Store such as Hadoop clusters, Data Lake Analytics, Stream Analytics, Data Catalog and Power BI.
Module 4: Azure HDInsight
Introduction to Big Data: In this topic you will be introduced to Big Data and some of the most common technologies that are used to build Big Data Solutions.
Microsoft Azure HDInsight: In this topic you will learn how to use Microsoft Azure HDInsight to process Big Data and consume the results in Microsoft Excel.
Managing HDInsight by using Microsoft Azure PowerShell: In this topic you will learn how to install and configure Microsoft Azure PowerShell, Manage files in HDFS and use PowerShell to run MapReduce jobs.
Processing Big Data by using Pig: In this topic you will learn how to process data by using Pig and run Pig jobs in Windows PowerShell.
Processing Big Data by using Hive: In this topic you will learn how to create Hive tables, load data into Hive tables, Query Hive tables, run Hive jobs in PowerShell, and use the Hive Open Database Connectivity (ODBC) Driver to query Hive table from Microsoft Excel.
Automating Big Data Processing Tasks: In this topic you will learn techniques for creating and automating robust Big Data processing solutions by using Microsoft Azure HDInsight.
Integrating Microsoft Azure HDInsight with Enterprise Data: In this topic you will learn various options for integrating Microsoft Azure HDInsight into an enterprise BI infrastructure for reporting and analysis
Module 5: Azure Machine Learning.
Introduction to Machine Learning and Azure ML Studio: In this topic you will learn about Azure Machine Learning and its strengths, an exploring the Azure Machine Learning Studio.
Create an Azure Machine Learning Workspace: In this topic you will learn how to use Storage Accounts and create an Azure Machine Learning Workspace.
Designing a Predictive Analytics Solution with Azure ML: In this topic you will learn how to define the problem you want to solve, create an experiment adding transformation and filters, save and run the model, publish and use the model.
Module 6: Power BI
Introduction to Power BI Desktop and Power BI Cloud Service
Learn how to create a Power BI report and publish it to Power BI cloud service.
What's Included
The following is included on your accelerated Azure Data Deep Dive course:
- Firebrand Course Material
Prerequisites
The Azure Data Deep Dive is an advance coursed. You are recommended to have achieved the following three Microsoft Specialist certifications, or have equivalent knowledge:
- Specialist: Developing Microsoft Azure Solutions
- Specialist: Implementing Microsoft Azure Infrastructure Solutions
- Specialist: Architecting Microsoft Azure Solutions
If you don't possess the above certifications, the equivalent skills and knowledge requirements are below. You must be able to:
- Design and implement Web Apps
- Create and manage virtual machines and virtual networks
- Design and implement cloud services
- Design and implement a storage strategy
- Manage application and network services
- Design Microsoft Azure Infrastructure and networking
- How to secure resources
- Design an application storage and data access strategy
- Design an advanced application
- Design a management, monitoring and business continuity strategy
Weet je niet zeker of je aan de vereisten voldoet? Maak je geen zorgen. Jouw trainingsadviseur bespreekt jouw achtergrond met je om te begrijpen of deze cursus geschikt is voor je.
Beoordelingen
Wereldwijd heeft Firebrand in haar 10-jarig bestaan al 134561 studenten opgeleid! We hebben ze allemaal gevraagd onze versnelde opleidingen te evalueren. De laatste keer dat we onze resultaten analyseerden, bleek 96.41% ons te beoordelen als 'boven verwachting'
"Very well structured! I found the course very useful and the instructor explained everything very well"
AN. (19/3/2024 (Dinsdag) t/m 21/3/2024 (Donderdag))
"I loved the pace and involvement of the coach. the course is very intensive but worth the price. the infrastructure and venue is fantastic aswell."
Andreas Vandenberghe, Allianz Technology SE. (18/3/2024 (Maandag) t/m 24/3/2024 (Zondag))
"This was my 4th Firebrand training. And as usual the location and training was great! If you want to learn a lot, in a very short time. This is the way to go!"
KV, Tuxito. (21/8/2023 (Maandag) t/m 24/8/2023 (Donderdag))
"I liked the firebrand training very much. This training really helped in deepdiving into key Azure security concepts and tools."
Anoniem (20/2/2023 (Maandag) t/m 22/2/2023 (Woensdag))
"De informatie in deze cursus is perfect voor het behalen van de examens. Veel praktijkgerichten voorbelden"
Anoniem, Guide-IT (18/7/2022 (Maandag) t/m 23/7/2022 (Zaterdag))
Cursusdata
|
Start datum |
Eind datum |
Status |
Locatie |
Nu boeken |
|---|---|---|---|---|
|
19/2/2024 (Maandag) |
20/2/2024 (Dinsdag) |
Beëindigde cursus - Geef feedback |
- |
|
|
24/6/2024 (Maandag) |
25/6/2024 (Dinsdag) |
Wachtlijst |
Landelijk |
|
|
5/8/2024 (Maandag) |
6/8/2024 (Dinsdag) |
Beperkte beschikbaarheid |
Landelijk |
|
|
16/9/2024 (Maandag) |
17/9/2024 (Dinsdag) |
Open |
Landelijk |
|
|
28/10/2024 (Maandag) |
29/10/2024 (Dinsdag) |
Open |
Landelijk |
|
|
9/12/2024 (Maandag) |
10/12/2024 (Dinsdag) |
Open |
Landelijk |
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