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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.
8 syytä, miksi kannattaa hankkia Azure Data Deep Dive Firebrand Trainingiltä:
- Koulutuksen ja todistuksen saaminen kestää vain 2 päivän. Meidän kanssamme saat Azure Data Deep Dive -koulutuksen ja -todistuksen ennätysajassa. Todistuksen ansaitset koulutuskeskuksessamme osana intensiivistä ja nopeutettua koulutusta.
- Hintaan sisältyy kaikki.Kertamaksu kattaa kaikki kurssimateriaalit, kokeet, kuljetuksen, majoituksen ja ateriat ja tarjoaa kustannustehokkaimman tavan hankkia Azure Data Deep Dive koulutus ja todistus. Ilman mitään lisäkustannuksia.
- Suorita tutkinto ensimmäisellä kerralla tai kertaa koulutus ilmaiseksi. Tämä on takuumme. Olemme varmoja, että läpäiset Azure Data Deep Dive -kurssin ensimmäisellä kerralla. Mutta jos näin ei käy, voit tulla takaisin vuoden kuluttua ja maksaa vain majoituksesta ja kokeista. Kaikki muu on ilmaista.
- Opit enemmän.Päivä perinteisen koulutuksen tarjoajan kanssa on yleensä klo 9–17, mihin sisältyy pitkä lounastauko. Firebrand Trainingiltä saat vähintään 12 tuntia päivässä keskittynyttä ja häiriötöntä laatukoulutusaikaa opettajasi kanssa.
- Opit Azure Data Deep Dive nopeammin. Yhdistämme 3 eri oppimistyyliä (visuaalisen|kuuloon perustuvan|kosketukseen perustuvan) tarjotaksemme materiaalin tavalla joka varmistaa, että opit nopeammin ja helpommin.
- Opiskelet huippujen kanssa.Olemme kouluttaneet ja sertifioineet 134.561 ammattilaista ja olemme kumppaneita kaikkien alan suurien nimien kanssa ja olemme saaneet lukuisia palkintoja, mm. Microsoftin Danmarki Vuoden koulutuspartneri 2010, 2011, 2012 ja 2013, Institue of IT Trainingin ”Training Company of the Year 2006, 2007, 2008” Englannissa, ISC(2):n ”Highest Performing Affiliate of the Year 2009 & 2010 – EMEA” sekä EC-Councilin ”Accredited Training Centre of the Year 2010 og 2011”, ”Newcomer of the Year 2011” ja ”Instructors Circle of Excellence”.
- Opit enemmän kuin pelkän teorian. Olemme kehittäneet Azure Data Deep Dive kurssia edelleen käyttämällä laboratorioita, esimerkkitapauksia ja harjoittelukokeita varmistaaksemme, että osaat soveltaa uutta tietoa työympäristöön.
- Opit parhailta. Ohjaajamme Azure Data Deep Dive kurssilla ovat alan parhaita. He tarjoavat ainutlaatuisen yhdistelmän asiantuntemusta, kokemusta ja intohimoa opetukseen.
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
Arvioinnit
Olemme kouluttaneet kymmenen vuoden aikana yli 134.561 opiskelijaa. Heitä kaikkia on pyydetty arvioimaan pikakurssimme. Tällä hetkellä 96,41% on sitä mieltä, että Firebrand on ylittänyt heidän odotuksensa:
"The training for PL-100 is an intense course, jam-packed with references, resources delivered by a super knowledgeable instructor. Would recommend having a sound base knowledge of Microsoft Power Platform before attending. MS Learn provides topics for PL-100 and also a study guide for the exam which is very useful when preparing for exam."
Jessica Brooks, Kenvue. (3/1/2024 (Keskiviikko) - 4/1/2024 (Torstai))
"Training facilities were great and the hotel onsite is nice."
Anonymous. (18/12/2023 (Maanantai) - 20/12/2023 (Keskiviikko))
"It's the best way to learn without any distraction. Training, eat, sleep, shower."
Anonymous. (13/12/2023 (Keskiviikko) - 15/12/2023 (Perjantai))
"When learning with Firebrand, everything is taken care of for you. This allows you to pour everything into absorbing and understanding your course content amongst peers."
ML, Griggster Limited. (3/10/2023 (Tiistai) - 6/10/2023 (Perjantai))
"Perfect instructor with much knowledge and the ability to bring it to the people. Thank you. The topic is huge but I would have expected a little bit more working together in the system."
Reinhard Decker, VAT Vakuumventile AG. (10/10/2023 (Tiistai) - 13/10/2023 (Perjantai))
Kurssipäivämäärät
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19/2/2024 (Maanantai) |
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