Microsoft - Azure Academy: Data Deep Dive

Varighet:

Bare 2 dager

Metode:

klasserommet / på nett / Hybrid

Neste dato:

24/6/2024 (Mandag)

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.

Det vil ta deg bare et øyeblikk å se hvor billige våre kurs er...

Se priser

Her er 8 grunner til hvorfor du skal gjennomføre ditt Azure Data Deep Dive hos Firebrand Training:

Du blir utdannet og sertifisert på bare 2 dager. Hos oss får du din utdanning og sertifisering på rekordtid, en sertifisering du også gjennomfører der og da som en integrert del av den intensive, akselererte utdanningen.
Alt er inkludert. Et engangsbeløp dekker alt kursmaterial, eksamen, kost og losji og tilbyr den mest kostnadseffektive måten å gjennomføre ditt Azure Data Deep Dive kurs og sertifisering på. Og dette uten noen uannonserte ytterligere kostnader.
Du klarer sertifiseringen første gangen eller kan gå kurset om igjen kostnadsfritt. Det er vår garanti. Vi er sikre på at du vil klare din Azure Data Deep Dive sertifisering første gangen. Men skulle du mot formodning ikke gjøre det kan du innen et år komme tilbake og kun betale for eventuelle overnattinger og din eksamen. Alt annet er gratis.
Du lærer deg mer.Tradisjonelle utdanningsdager varer fra kl. 09.00 til 16.00 med lange lunsj- og kaffepauser. Hos Firebrand Training får du minst 12 timers effektiv og fokusert kvalitetsutdanning hver dag sammen med din instruktør, uten private eller arbeidsrelaterte, forstyrrende momenter.
Du lærer deg Azure Data Deep Dive raskere. Vi kombinerer de tre innlæringsmetodene (Presentasjon |Øving| Diskusjon) slik at vi gjennomfører kurset på en måte som sikrer at du lærer deg raskere og lettere.
Du er i sikre hender.Vi har utdannet og sertifisert 134.561 personer, vi er partner med alle de store navn i bransjen og vi har vunnet atskillige utmerkelser, bla. a. "Årets Learning Partner 2010, 2011, 2012, 2013 og 2015” fra Microsoft Danmark og med en vekst på 1430 % siden 2009 er vi årets Gazelle prisvinner på Sjælland, Danmark.
Du lærer deg ikke bare teorien. Vi har videreutviklet Azure Data Deep Dive kursen og tilbyr flere praktiske øvelser og sikrer på den måten, at du kan bruke dine ferdigheter for å løse daglige praktiske problemstillinger.
Du lærer av de beste. Våre instruktører på Azure Data Deep Dive er de beste i bransjen og tilbyr en helt unik blanding av kunnskap, praktisk erfaring og pasjon for å lære bort.

Benefits

Er du klar for kurset? Ta en GRATIS test for å måle og vurdere kunnskapsnivået ditt.

Gratis Test

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

Anmeldelser

Vi har lært opp 134.561 personer på 12 år. Vi ba dem om å anmelde vår akselererte opplæring. Akkurat nå har 96,41% angitt at Firebrand overgikk forventningene:

"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 (Onsdag) til 4/1/2024 (Torsdag))

"Training facilities were great and the hotel onsite is nice."
Anonymous. (18/12/2023 (Mandag) til 20/12/2023 (Onsdag))

"It's the best way to learn without any distraction. Training, eat, sleep, shower."
Anonymous. (13/12/2023 (Onsdag) til 15/12/2023 (Fredag))

"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 (Tirsdag) til 6/10/2023 (Fredag))

"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 (Tirsdag) til 13/10/2023 (Fredag))

Kursdatoer

Start	Slutt	Kapasitet	Plass
19/2/2024 (Mandag)	20/2/2024 (Tirsdag)	Ferdig - Gi tilbakemelding	-
24/6/2024 (Mandag)	25/6/2024 (Tirsdag)	Venteliste	Landsdekkende
5/8/2024 (Mandag)	6/8/2024 (Tirsdag)	Begrenset kapasitet	Landsdekkende
16/9/2024 (Mandag)	17/9/2024 (Tirsdag)	Ledige plasser	Landsdekkende
28/10/2024 (Mandag)	29/10/2024 (Tirsdag)	Ledige plasser	Landsdekkende
9/12/2024 (Mandag)	10/12/2024 (Tirsdag)	Ledige plasser	Landsdekkende