Microsoft MCSA: Data Engineering with Azure - Slechts 5 dagen

Zeven redenen waarom jij voor jouw MCSA Data Engineering with Azure cursus voor Firebrand kiest:

Bekijk deze video en zie waarom je met Firebrand geld en tijd bespaart

  1. Jij zal in slechts 5 dagen MCSA Data Engineering with Azure getrained zijn. Doordat onze cursussen residentieel zijn kunnen wij langere lesdagen aanbieden en zal je tijdens je verblijf volledig gefocust zijn op jouw cursus
  2. Onze MCSA Data Engineering with Azure cursus is all-inclusive. Cursusmaterialen, accommodatie en maaltijden zijn inbegrepen.
  3. Slaag de eerste keer voor MCSA Data Engineering with Azure of train gratis opnieuw. Vraag naar de voorwaarden van onze certificeringsgarantie bij onze Education Consultants.
  4. Je zal meer over MCSA Data Engineering with Azure leren. Waar opleidingen elders doorgaans van 9:00 tot 17:00 duren, kan je bij Firebrand Training rekenen op 12 uur training per dag!

  5. Je zal MCSA Data Engineering with Azure sneller beheersen. Doordat onze cursussen residentieel zijn word je in korte tijd ondergedompeld in de theorie. Hierdoor zal je volledig gefocust zijn op de cursus en zal je sneller de theorie en praktijk beheersen.
  6. Je zal voor MCSA Data Engineering with Azure studeren bij de beste training provider. Firebrand heeft het Q-For kwaliteitlabel, waarmee onze standaarden en professionaliteit op het gebied van training erkend worden. We hebben inmiddels 65.217 professionals getraind en gecertificeerd!
  7. Je gaat meer doen dan alleen de cursusstof van MCSA Data Engineering with Azure bestuderen. We maken gebruik van laboratoria, case-studies en oefentests, om ervoor te zorgen dat jij jouw nieuwe kennis direct in jouw werkomgeving kan toepassen.

Denk jij klaar te zijn voor deze opleiding? Doe een GRATIS oefentest om je kennis te testen!

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21/8/2017 (Maandag)

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Wereldwijd heeft Firebrand in haar 10-jarig bestaan al 65.217 studenten opgeleid! We hebben ze allemaal gevraagd onze versnelde opleidingen te evalueren. De laatste keer dat we onze resultaten analyseerden, bleek 96.56% ons te beoordelen als ‘boven verwachting’

"I have been in many training courses but have never met such an instructor. Very polite, patient, clear, I could ask without hesitation questions as much as I wanted. He makes sure you understand the topic before he goes further. Very professional! You get everything that you need to pass the MS exam. No doubt! Firebrand is definitely a good investment and worth taking it. Many thanks Firebrand team!"
Hamza Kursun. - Microsoft MCSA: Cloud Platform (7 Dagen) (14/10/2017 t/m 20/10/2017)

"I was surrounded with high skill people which forced me to focus on and study hard to pass the exams. It is also a good experience to do networking."
Daniel Ferreira. - Microsoft MCSE: Cloud Platform and Infrastructure (Azure) (9 Dagen) (14/10/2017 t/m 22/10/2017)

"This is the third course I have done with Firebrand, and the first I have done in Europe. The instructor standards do not change, the Firebrand ethos remains the same and the package as a whole is very good, wherever you take a course."
Matthew Chamberlain, Chamberlain & Co. - Microsoft MCSE: Cloud Platform and Infrastructure (Azure) (9 Dagen) (10/7/2017 t/m 18/7/2017)

"Excellent trainer and good location but very high paced."
D.vR.. - Microsoft Architecting Microsoft Azure Solutions (2 Dagen) (17/7/2017 t/m 18/7/2017)

"Zeer veel informatie, maar wel deskundig en duidelijke uitleg!"
Henk Schinkel, geen. - Microsoft MCSA: Windows Server 2012 R2 (9 Dagen) (23/11/2015 t/m 1/12/2015)

"Fijne accomodatie en eten. Zeer ervaren en professionele docent"
Anoniem - Microsoft MCSA: Office 365 (5 Dagen) (26/11/2015 t/m 29/11/2015)

"Prima opleiding geweldige kundige docent uitstekende locatie"
Anoniem - Microsoft MCSA: Office 365 (5 Dagen) (26/11/2015 t/m 29/11/2015)

"You will learn a great deal with Firebrand and have every good chance in passing your chosen exams. Its a very unique experience. "
Anoniem - Microsoft MTA Networking, Security & Windows Server Administration (6 Dagen) (2/11/2015 t/m 7/11/2015)

"Fast Good learning!"
Anoniem - Microsoft MTA Networking, Security & Windows Server Administration (6 Dagen) (2/11/2015 t/m 7/11/2015)

"The instructor was very thorough and professional. He made the course very understandable. I was very impressed with his teaching methods and presentations. Firebrand is the best."
Anoniem - Microsoft MTA Networking, Security & Windows Server Administration (6 Dagen) (2/11/2015 t/m 7/11/2015)

"Great Instructor, much details and good stories from the IT Field. This is for me a drive to continue my IT career and learn more."
Anoniem - Microsoft MTA Networking, Security & Windows Server Administration (6 Dagen) (2/11/2015 t/m 7/11/2015)

"Very good way to pass certification if you're able to study and assimilate new knowledges quickly. "
Anoniem - Microsoft MTA Networking, Security & Windows Server Administration (6 Dagen) (2/11/2015 t/m 7/11/2015)

"Awesome! Great teacher with endless patience!! :)"
Anoniem - Microsoft Querying SQL Server (4 Dagen) (2/11/2015 t/m 5/11/2015)

"Efficient learning with the experience and qualified instructor. Highly recommended!"
Anoniem - Microsoft Querying SQL Server (4 Dagen) (2/11/2015 t/m 5/11/2015)

"Continue the way you are!"
Anoniem - Microsoft Querying SQL Server (4 Dagen) (2/11/2015 t/m 5/11/2015)

"Middelen om de trainingen te volgen zijn uitstekend."
Anoniem, HCG Hoedt - Microsoft Implementing Microsoft Azure Infrastructure Solutions (3 Dagen) (16/10/2015 t/m 18/10/2015)

"Firebrand biedt een mooie geisoleerde omgeving, waarin je, gemotiveerd door een vakbekwame en gedreven docent, met medecursisten dag (en nacht) bezig kunt zijn met slechts een ding voor ogen: de cursusinhoud. Hoewel zeker vermoeiend, vind ik de cursussen van Firebrand absoluut de moeite waard in het traject van verkrijgen van vakgerichte kennis en certificering."
Anoniem, erwinbeelen.com - Microsoft Implementing Microsoft Azure Infrastructure Solutions (3 Dagen) (16/10/2015 t/m 18/10/2015)

"Really enjoyable and very hard experience. Trainer made the course fun to do."
Anoniem - Microsoft MCSA: Windows Server 2012 R2 (9 Dagen) (19/9/2015 t/m 27/9/2015)

"Get more in less time"
Anoniem - Microsoft MCSD: SharePoint Applications (12 Dagen) (28/4/2014 t/m 9/5/2014)

"This course was realy good; you lose no time, an efficient way of work"
Philippe De Groote , saphico. - Microsoft MCSA: Windows Server 2012 R2 (9 Dagen) (27/10/2013 t/m 3/11/2013)

"8 Days course which also includes two weekends. Our trainer made it an experience I didn't want to miss!"
Sybrand Hartman, Tata Steel. - Microsoft MCSA: Windows Server 2012 R2 (9 Dagen) (27/10/2013 t/m 3/11/2013)

"Een zeer postitieve ervaring, alles is goed geregeld en de trainer was altijd bereid je vragen te beantwoorden. Je leeft hier echt voor de cursus dwz je staat er mee op en tijdens ontbijt begint het al en je stopt pas als je ogen dicht gaan bij het slapen. Zeer goede manier om kennis op te doen. Veel theorie maar ook wel Hands On!"
CG, Veiligheidsregio Kennemerland. - Microsoft MCSA: Windows Server 2012 R2 (9 Dagen) (9/6/2013 t/m 16/6/2013)

"Thuis studeren had me twee keer zoveel tijd gekost. Op de cursus kon ik me erg goed concentreren op de stof en zo ook mijn certificaten behalen in een zeer korte tijd."
Marc van Berkel, Linfosys. - Microsoft MCSA: Windows Server 2012 R2 (9 Dagen) (9/6/2013 t/m 16/6/2013)

"Prima docent, fijne locatie, maar erg intensief."
MV. - Microsoft MCSE: SharePoint 2013 (6 Dagen) (10/6/2013 t/m 15/6/2013)

"Its always great to be busy with SharePoint for a full week. All my goals are completed and got a very good understanding, learned a lot and cannot wait to start using this best practices in my daily work. Very good teacher with a lot of experience, from different kind of businesses."
Anoniem - Microsoft MCSE: SharePoint 2013 (6 Dagen) (10/6/2013 t/m 15/6/2013)

"Tsunami van informatie en leerstof komt over je heen. Voorbereiden op het assimileren, zeg maar opslorpen, van al deze kennis is een vereiste indien het lang geleden is dat je op de schoolbanken zat. Maar het is een reuze ervaring. Een belevenis en je honger wordt gestild."
Anoniem, VSOA Defensie - Microsoft MCSA: Windows Server 2012 R2 (9 Dagen) (7/4/2013 t/m 14/4/2013)

"- Tempo ligt erg hoog, de zaterdagavond (niet inbegrepen bij de 8 dagen) is dan ook zeer nodig. - Kom met genoeg kennis! - Kom met een goede motivatie!"
Rob de Haan, Van Dam ICT. - Microsoft MCSA: Windows Server 2012 R2 (9 Dagen) (7/4/2013 t/m 14/4/2013)

"Great teacher, learned a lot and had a good team! Really good way of learning."
Marloes Rutten, SplitVision. - Microsoft MCSA: Windows Server 2012 R2 (9 Dagen) (20/1/2013 t/m 27/1/2013)

"Het is niet gemakkelijk, je krijgt erg veel informatie tegelijk maar met de juiste instelling is het zeker te doen. De MCSA 2012 cursus is zeer de moeite waard en ik kan deze methode en de accomodatie zeker aanbevelen!"
Marc Willemsen, EIC BV. - Microsoft MCSA: Windows Server 2012 R2 (9 Dagen) (20/1/2013 t/m 27/1/2013)

"Goede en krachtige training!"
Chris Carremans, EASI / Appligen. - Microsoft MCSA: Windows Server 2012 R2 (9 Dagen) (4/11/2012 t/m 11/11/2012)

"Je moet met de juiste instelling naar de training komen. Je moet na de lesuren, nog willen studeren, en dat maakt het kei-hard, want "Alle beetjes helpen" Jezelf kalmeren doe je met deze zin: "2nd shot" Superbekwame instructor. Combineert hard studeren met hard lachen. Goede situatievoorbeelden helpen enorm."
Antonio Vanhove. - Microsoft MCSA: Windows Server 2012 R2 (9 Dagen) (4/11/2012 t/m 11/11/2012)

"Je heb wel vooraf een fundament van kennis nodig. Het is heel intensief, 13 uur per dag 13 dagen lang. De trainer was uitstekend."
Anoniem - Microsoft MCSA: Windows Server 2008 & MCITP Enterprise Administrator (13 Dagen) (9/9/2012 t/m 21/9/2012)

"Its hardwork and long days but you will be prepared for the exam. This way learning is an experience."
René Beije. - Microsoft MCSA: Windows Server 2008 & MCITP Enterprise Administrator (13 Dagen) (8/7/2012 t/m 20/7/2012)

"Resultaten behaal je door zelf te ondernemen en kansen te pakken. Ervoor gaan betekent inspannen tot het uiterste. Niet wegschrikken voor zeven dagen intensief studeren. Mij ligt dit concept goed. Ik hou ervan om in korte tijd resultaat te zien in plaats van een jaar te moeten doen over een cursus en daar wekelijks mijn tijd voor vrij te maken."
Tristan Jager. - Microsoft MCSA: Windows Server 2008 & MCITP Enterprise Administrator (13 Dagen) (8/7/2012 t/m 20/7/2012)

"Perfecte training, perfecte docent, perfecte locatie in de benelux. Vriendelijke medewerkers. Veel studie, maar dat is ook de bedoeling :)"
Jesper Plass, Ploegam BV. - Microsoft MCSA: Windows Server 2008 & MCITP Enterprise Administrator (13 Dagen) (8/7/2012 t/m 20/7/2012)

"Training is voor doorzetters, heeft een strakke planning en zit vol met tip & trucs om te dealen met de Microsoft examens. Als je nog geen ervaring hebt met een bootcamp, kun je hier alles ervaren ..."
Jan Blom, ICT First. - Microsoft MCSA: Windows Server 2008 (8 Dagen) (8/7/2012 t/m 15/7/2012)

"Uitstekend concept en zeer goede trainer, maar héél zwaar!"
Robert Kriekaard, KBS Bedrijfsondersteuning. - Microsoft MCSA: Windows Server 2008 (8 Dagen) (8/7/2012 t/m 15/7/2012)

"Ik heb nog nooit iemand zien met zo veel kennis van Microsoft (en dat is nog niet eens het enigewaar in hij les geeft). De manier van les geven is heel goed. Beste instructeur ooit! In 7 dagen tijd meer geleerd dan 1 jaar op school."
Freddy Jeurissen, nvt. - Microsoft MCSA: Windows Server 2008 & MCITP Enterprise Administrator (13 Dagen) (8/7/2012 t/m 20/7/2012)

"De intensieve training, maakt het een bijzondere en zeer leerzame ervaring. Door alle tijd die je in een dag kunt krijgen met een onderwerp bezig te zijn is de kennisoverdracht enorm. Zeer ervaren trainer die de lesstof perfect beheerst en kan aanvullen met praktijk ervaring en daarnaast ook zeer aangenaam mens is maakt de ervaring onvergetelijk."
Pieter Borst. - Microsoft MCTS / MCPD SharePoint 2010 Developer (7 Dagen) (10/10/2011 t/m 16/10/2011)

"Voor het eerst heb ik een cursus mogen volgen. Gelukkig voor mij is dit gebeurd onder de Firebrand vlag. 7 zeer intensieve dagen met aan het eind het gevoel dat je echt iets geleerd hebt. De instructeur heeft veel moeite gestopt in het aantrekkelijk maken van de slides + persoonlijke aanpassingen hierdoor is de ervaring uitermate positief."
Ronald van Meer. - Microsoft MCTS / MCPD SharePoint 2010 Developer (7 Dagen) (10/10/2011 t/m 16/10/2011)

"A 9 day sprint through all things Azure with a focus on getting through the MSCE exams for architecting and developing cloud solutions. The long days paid off. Comfortable accommodation with knowledgeable and attentive staff."
Graham Morgan, Spatial Consultants Ltd. - Microsoft MCSE: Cloud Platform and Infrastructure (Azure) (9 Dagen) (10/7/2017 t/m 18/7/2017)

"We had Phil Anderson, a very nice and intelligent man. He had to put through a lot of information. I did not take the exam at the end of the week, because I am a person who needs more time to process information. The course was structured and well done by Phil. I would recommend him as a trainer. Teacher gets a 9. The facilities of the training were good. Everything was prepared before the training, so it had an easy start. "
Danny van Oijen, Havenziekenhuis. - Microsoft MCSA: Windows 10 (6 Dagen) (13/3/2017 t/m 18/3/2017)

"Intense study with a great instructor and awesome co-students."
Martin Petersen, Silvaco A/S. - Microsoft MTA Networking, Security & Windows Server Administration (6 Dagen) (25/1/2016 t/m 30/1/2016)

"Fast and Furious but great content delivered by a great instructor. Accelerated Learning can be challenging but 3 certificates in a week speaks for itself. I can go back to work and apply lots of the things I have learned straightaway. Training centre and environment were great, created a nice learning environment and the camaraderie between course members was great."
Sam Hanson, Ace Container Services. - Microsoft MTA Networking, Security & Windows Server Administration (6 Dagen) (25/1/2016 t/m 30/1/2016)

"I thought it would be almost impossible to become SQL Server MCSA in 9 days, its normally 3 weeks of courses plus 3 exam days, but after very hard work I succeeded. Thanks a lot Firebrand and the instructor for that!"
Joakim Ronnberg, Council of the European Union. - Microsoft MCSA: SQL Server (9 Dagen) (13/10/2014 t/m 21/10/2014)

"Firebrand : The fastest way to learn. Great team and very helpful."
Anoniem - Microsoft MCSA: Windows Server 2012 R2 (9 Dagen) (9/6/2013 t/m 16/6/2013)

"Great teacher, extremely skilled, great personality. "
Steven Pringels , Syncrogenics. - Microsoft Dynamics AX 2012 Development - Advanced (4 Dagen) (15/12/2011 t/m 18/12/2011)

"It was a great experience. Definitely would recommend the course."
Junaid Shakoor, Perspective Publishing Limited. - Microsoft Programming in HTML5 with JavaScript and CSS3 (3 Dagen) (11/11/2017 t/m 13/11/2017)

"I found the whole experience very good. It was new to literally living at the training centre and purely focus on this, but I think this works really well. Can't fault anything to do with the training centre or the trainer, who was exceptional."
Andrew Martin, Pennine. - Microsoft Deploying Enterprise Voice with Skype for Business 2015 (3 Dagen) (9/11/2017 t/m 11/11/2017)

"Very good course and instructor, mixed course details with real life experience."
Anoniem - Microsoft Deploying Enterprise Voice with Skype for Business 2015 (3 Dagen) (9/11/2017 t/m 11/11/2017)

Your 5-day accelerated MCSA: Data Engineering with Azure course will develop the skills to design and implement big data engineering workflows with the Microsoft cloud ecosystem and Microsoft HD Insight to extract strategic value from your data.

Your expert Microsoft Certified Trainer (MCT) with immerse you in Microsoft Official Curriculum (MOC) at our distraction-free training centre, allowing you to focus 100% on learning. You'll experience Firebrand's Lecture | Lab | Review technique, combining hands-on practical labs, theory and review sessions to reinforce learning and develop skills and knowledge faster.

You'll cover a range of exciting topics including:

  • Deploying and securing multi-user HDInsight clusters
  • Implementing batch solutions with Hive and Apache Pig
  • Creating Spark streaming applications using DStream API
  • Developing big data real-time processing solutions with Apache Storm
  • Performing exploratory data analysis by using Spark SQL

You'll be prepared for exams 70-775: Perform Data Engineering on Microsoft HD Insight and 70-776: Engineering Data with Microsoft Cloud Services. You'll sit these on-site during the course, covered by your Certification Guarantee.

Your MCSA: Data Engineering with Azure certification will validate skills in implementing big data engineering workflows with Microsoft Cloud Services and Microsoft HDInsight. Ideal if you're a data engineer, data architect, data scientist or data developer. Earning this certifcation acts as your first step towards achieving the MCSE: Data Management and Analytics credential.

Lees meer ...

Belangstelling? Zie onze prijzen of bel ons op 024-8457770

Gebruik de Microsoft vouchers voor gratis opleidingen

De Software Assurance Training Vouchers (SATV) van Microsoft geven u misschien wel recht op een opleiding met flinke korting. Heeft uw onderneming software van Microsoft gekocht? Kijk dan of het gebundeld kan worden met de vouchers voor gratis opleiding! Vouchers kunnen ingewisseld worden voor opleidingen voor alle Microsoft technologieën. Weet u niet zeker of dit voor u geldt, neem dan contact met ons op.De Software Assurance Training Vouchers (SATV) van Microsoft geven u misschien wel recht op een opleiding met flinke korting. Heeft uw onderneming software van Microsoft gekocht? Kijk dan of het gebundeld kan worden met de vouchers voor gratis opleiding! Vouchers kunnen ingewisseld worden voor opleidingen voor alle Microsoft technologieën. Weet u niet zeker of dit voor u geldt, neem dan contact met ons op.

Lees meer ...

Belangstelling? Zie onze prijzen of bel ons op 024-8457770

20775A: Perform Data Engineering on Microsoft Azure HDInsight

Module 1: Architectures for Big Data Engineering with Azure

This module describes common architectures for processing big data using Azure tools and services.

Lessons

  • Understanding Big Data
  • Architectures for Processing Big Data
  • Considerations for designing Big Data solutions

Lab: Designing a Big Data Architecture

  • Design a big data architecture

After completing this module, you'll be able to:

  • Explain the concept of Big Data.
  • Describe the Lambda and Kappa architectures.
  • Describe design considerations for building Big Data Solutions with Azure.

Module 2: Processing Event Streams using Azure Stream Analytics

This module describes how to use Azure Stream Analytics to design and implement stream processing over large-scale data.

Lessons

  • Introduction to Azure Stream Analytics
  • Configuring Azure Stream Analytics jobs

Lab: Processing Event Streams with Azure Stream Analytics

  • Create an Azure Stream Analytics job
  • Create another Azure Stream job
  • Add an Input
  • Edit the ASA job
  • Determine the nearest Patrol Car

After completing this module, you'll be able to:

  • Describe the purpose and structure of Azure Stream Analytics.
  • Configure Azure Stream Analytics jobs for scalability, reliability and security.

Module 3: Performing custom processing in Azure Stream Analytics

This module describes how to include custom functions and incorporate machine learning activities into an Azure Stream Analytics job.

Lessons

  • Implementing Custom Functions
  • Incorporating Machine Learning into an Azure Stream Analytics Job

Lab: Performing Custom Processing with Azure Stream Analytics

  • Add logic to the analytics
  • Detect consistent anomalies
  • Determine consistencies using machine learning and ASA

After completing this module, you'll be able to:

  • Describe how to create and use custom functions in Azure Stream Analytics.
  • Describe how to use Azure Machine Learning models in an Azure Stream Analytics job.

Module 4: Managing Big Data in Azure Data Lake Store

This module describes how to use Azure Data Lake Store as a large-scale repository of data files.

Lessons

  • Using Azure Data Lake Store
  • Monitoring and protecting data in Azure Data Lake Store

Lab: Managing Big Data in Azure Data Lake Store

  • Update the ASA Job
  • Upload details to ADLS

After completing this module, you'll be able to:

  • Describe how to create an Azure Data Lake Store, create folders, and upload data.
  • Explain how to monitor an Azure Data Lake account, and protect the data that it contains.

Module 5: Processing Big Data using Azure Data Lake Analytics

This module describes how to use Azure Data Lake Analytics to examine and process data held in Azure Data Lake Store.

Lessons

  • Introduction to Azure Data Lake Analytics
  • Analysing Data with U-SQL
  • Sorting, grouping, and joining data

Lab : Processing Big Data using Azure Data Lake Analytics

  • Add functionality
  • Query against Database
  • Calculate average speed

After completing this module, you'l be able to:

  • Describe the purpose of Azure Data Lake Analytics, and how to create and run jobs.
  • Describe how to use USQL to process and analyse data.
  • Describe how to use windowing to sort data and perform aggregated operations, and how to join data from multiple sources.

Module 6: Implementing custom operations and monitoring performance in Azure Data Lake Analytics

This module describes how to create and deploy custom functions and operations, integrate with Python and R, and protect and optimise jobs.

Lessons

  • Incorporating custom functionality into Analytics jobs
  • Managing and Optimising jobs

Lab : Implementing custom operations and monitoring performance in Azure Data Lake Analytics

  • Custom extractor
  • Custom processor
  • Integration with R/Python
  • Monitor and optimise a job

After completing this module, you'll be able to:

  • Describe how to incorporate custom features and assemblies into USQL.
  • Describe how to implement security to protect jobs, and how to monitor and optimise jobs to ensure efficient operations.

Module 7: Implementing Azure SQL Data Warehouse

This module describes how to use Azure SQL Data Warehouse to create a repository that can support large-scale analytical processing over data at rest.

Lessons

  • Introduction to Azure SQL Data Warehouse
  • Designing tables for efficient queries
  • Importing Data into Azure SQL Data Warehouse

Lab: Implementing Azure SQL Data Warehouse

  • Create a new data warehouse
  • Design and create tables and indexes
  • Import data into the warehouse.

After completing this module, you'll be able to:

  • Describe the purpose and structure of Azure SQL Data Warehouse.
  • Describe how to design table to optimise the processing performed by the data warehouse.
  • Describe tools and techniques for importing data into a warehouse at scale.

Module 8: Performing Analytics with Azure SQL Data Warehouse

This module describes how to import data in Azure SQL Data Warehouse, and how to protect this data.

Lessons

  • Querying Data in Azure SQL Data Warehouse
  • Maintaining Performance
  • Protecting Data in Azure SQL Data Warehouse

Lab: Performing Analytics with Azure SQL Data Warehouse

  • Performing queries and tuning performance
  • Integrating with Power BI and Azure Machine Learning
  • Configuring security and analysing threats

After completing this module, you'll be able to:

  • Describe how to perform queries and use the data held in a data warehouse to perform analytics and generate reports.
  • Describe how to configure and monitor a data warehouse to maintain good performance.
  • Describe how to protect data and manage security in a data warehouse.

Module 9: Automating the Data Flow with Azure Data Factory

This module describes how to use Azure Data Factory to import, transform, and transfer data between repositories and services.

Lessons

  • Introduction to Azure Data Factory
  • Transferring Data
  • Transforming Data
  • Monitoring Performance and Protecting Data

Lab: Automating the Data Flow with Azure Data Factory

  • Automate the Data Flow with Azure Data Factory

After completing this module, you'll be able to:

  • Describe the purpose of Azure Data Factory, and explain how it works.
  • Describe how to create Azure Data Factory pipelines that can transfer data efficiently.
  • Describe how to perform transformations using an Azure Data Factory pipeline.
  • Describe how to monitor Azure Data Factory pipelines, and how to protect the data flowing through these pipelines.

20776A: Performing Big Data Engineering on Microsoft Cloud Services (In development)

Expected publication date: 25 October 2017

Module 1: Architectures for Big Data Engineering with Azure

This module describes common architectures for processing big data using Azure tools and services.

Lessons

  • Understanding Big Data
  • Architectures for Processing Big Data
  • Considerations for designing Big Data solutions

Lab : Designing a Big Data Architecture

  • Design a big data architecture

After completing this module, you'll be able to:

  • Explain the concept of Big Data.
  • Describe the Lambda and Kappa architectures.
  • Describe design considerations for building Big Data Solutions with Azure.

Module 2: Processing Event Streams using Azure Stream Analytics

This module describes how to use Azure Stream Analytics to design and implement stream processing over large-scale data.

Lessons

  • Introduction to Azure Stream Analytics
  • Configuring Azure Stream Analytics jobs

Lab : Processing Event Streams with Azure Stream Analytics

  • Create an Azure Stream Analytics job
  • Create another Azure Stream job
  • Add an Input
  • Edit the ASA job
  • Determine the nearest Patrol Car

After completing this module, you'll be able to:

  • Describe the purpose and structure of Azure Stream Analytics.
  • Configure Azure Stream Analytics jobs for scalability, reliability and security.

Module 3: Performing custom processing in Azure Stream Analytics

This module describes how to include custom functions and incorporate machine learning activities into an Azure Stream Analytics job.

Lessons

  • Implementing Custom Functions
  • Incorporating Machine Learning into an Azure Stream Analytics Job

Lab : Performing Custom Processing with Azure Stream Analytics

  • Add logic to the analytics
  • Detect consistent anomalies
  • Determine consistencies using machine learning and ASA

After completing this module, you'll be able to:

  • Describe how to create and use custom functions in Azure Stream Analytics.
  • Describe how to use Azure Machine Learning models in an Azure Stream Analytics job.

Module 4: Managing Big Data in Azure Data Lake Store

This module describes how to use Azure Data Lake Store as a large-scale repository of data files.

Lessons

  • Using Azure Data Lake Store
  • Monitoring and protecting data in Azure Data Lake Store

Lab : Managing Big Data in Azure Data Lake Store

  • Update the ASA Job
  • Upload details to ADLS

After completing this module, you'll be able to:

  • Describe how to create an Azure Data Lake Store, create folders, and upload data.
  • Explain how to monitor an Azure Data Lake account, and protect the data that it contains.

Module 5: Processing Big Data using Azure Data Lake Analytics

This module describes how to use Azure Data Lake Analytics to examine and process data held in Azure Data Lake Store.

Lessons

  • Introduction to Azure Data Lake Analytics
  • Analysing Data with U-SQL
  • Sorting, grouping, and joining data

Lab : Processing Big Data using Azure Data Lake Analytics

  • Add functionality
  • Query against Database
  • Calculate average speed

After completing this module, you'll be able to:

  • Describe the purpose of Azure Data Lake Analytics, and how to create and run jobs.
  • Describe how to use USQL to process and analyse data.
  • Describe how to use windowing to sort data and perform aggregated operations, and how to join data from multiple sources.

Module 6: Implementing custom operations and monitoring performance in Azure Data Lake Analytics

This module describes how to create and deploy custom functions and operations, integrate with Python and R, and protect and optimise jobs.

Lessons

  • Incorporating custom functionality into Analytics jobs
  • Managing and Optimising jobs

Lab : Implementing custom operations and monitoring performance in Azure Data Lake Analytics

  • Custom extractor
  • Custom processor
  • Integration with R/Python
  • Monitor and optimise a job

After completing this module, you'll be able to:

  • Describe how to incorporate custom features and assemblies into USQL.
  • Describe how to implement security to protect jobs, and how to monitor and optimise jobs to ensure efficient operations.

Module 7: Implementing Azure SQL Data Warehouse

This module describes how to use Azure SQL Data Warehouse to create a repository that can support large-scale analytical processing over data at rest.

Lessons

  • Introduction to Azure SQL Data Warehouse
  • Designing tables for efficient queries
  • Importing Data into Azure SQL Data Warehouse

Lab : Implementing Azure SQL Data Warehouse

  • Create a new data warehouse
  • Design and create tables and indexes
  • Import data into the warehouse.

After completing this module, you'll be able to:

  • Describe the purpose and structure of Azure SQL Data Warehouse.
  • Describe how to design table to optimise the processing performed by the data warehouse.
  • Describe tools and techniques for importing data into a warehouse at scale.

Module 8: Performing Analytics with Azure SQL Data WarehouseThis module describes how to import data in Azure SQL Data Warehouse, and how to protect this data.

Lessons

  • Querying Data in Azure SQL Data Warehouse
  • Maintaining Performance
  • Protecting Data in Azure SQL Data Warehouse

Lab : Performing Analytics with Azure SQL Data Warehouse

  • Performing queries and tuning performance
  • Integrating with Power BI and Azure Machine Learning
  • Configuring security and analysing threats

After completing this module, you'll be able to:

  • Describe how to perform queries and use the data held in a data warehouse to perform analytics and generate reports.
  • Describe how to configure and monitor a data warehouse to maintain good performance.
  • Describe how to protect data and manage security in a data warehouse.

Module 9: Automating the Data Flow with Azure Data Factory

This module describes how to use Azure Data Factory to import, transform, and transfer data between repositories and services.

Lessons

  • Introduction to Azure Data Factory
  • Transferring Data
  • Transforming Data
  • Monitoring Performance and Protecting Data

Lab : Automating the Data Flow with Azure Data Factory

  • Automate the Data Flow with Azure Data Factory

After completing this module, you'll be able to:

  • Describe the purpose of Azure Data Factory, and explain how it works.
  • Describe how to create Azure Data Factory pipelines that can transfer data efficiently.
  • Describe how to perform transformations using an Azure Data Factory pipeline.
  • Describe how to monitor Azure Data Factory pipelines, and how to protect the data flowing through these pipelines.

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You'll sit the following exams at the Firebrand training centre during the course, covered by your Certification Guarantee:

70-775: Perform Data Engineering on Microsoft HD Insight

Skills measured:

  • Administer and Provision HDInsight Clusters
  • Implement Big Data Batch Processing Solutions
  • Implement Big Data Interactive Processing Solutions
  • Implement Big Data Real-Time Processing Solutions

70-776: Engineering Data with Microsoft Cloud Services - currently in beta

Skills measured:

  • Design and Implement Complex Event Processing By Using Azure Stream Analytics (15-20%)
  • Design and Implement Analytics by Using Azure Data Lake (25-30%)
  • Design and Implement Azure SQL Data Warehouse Solutions (15-20%)
  • Design and Implement Cloud-Based Integration by using Azure Data Factory (15-20%)
  • Manage and Maintain Azure SQL Data Warehouse, Azure Data Lake, Azure Data Factory, and Azure Stream Analytics (20-25%)

This exam is currently in beta. If you pass it, you will receive full credit toward applicable certifications, but you will not receive a score report or pass/fail notification until 8-12 weeks following the conclusion of the beta period.

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Microsoft Official Curriculum

  • MOC 20775A: Perform Data Engineering on Microsoft HD Insight
  • MOC 20776A: Engineering Data with Microsoft Cloud Services

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Before attending this course, you must meet the following prerequisite knowledge and skills of:

  • Azure data services
  • Microsoft Windows operating system and its core functionality
  • Relational databases
  • Programming using R, and familiarity with common R packages
  • Common statistical methods and data analysis best practices.

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