Microsoft MCSA: Data Engineering with Azure - Only 5 Days

Four reasons why you should sit your MCSA Data Engineering with Azure course with Firebrand Training

Find Out How We Help You To Learn New Skills Quickly

  1. You'll be MCSA Data Engineering with Azure trained and certified faster. Learn more on this 5-day accelerated course. You'll get at least 12 hours a day of quality learning time in a distraction-free environment
  2. Your MCSA Data Engineering with Azure course is all-inclusive. One simple price covers all course materials, exams, accommodation and meals – so you can focus on learning
  3. Pass MCSA Data Engineering with Azure first time or train again for free. Your expert instructor will deliver our unique accelerated learning methods, allowing you to learn faster and be in the best possible position to pass first time. In the unlikely event that you don't, it's covered by your Certification Guarantee
  4. Study MCSA Data Engineering with Azure with an award-winning training provider. We've won the Learning and Performance Institute's "Training Company of the Year" three times. Firebrand is your fastest way to learn, with 65.217 students saving more than one million hours since 2001

Think you are ready for the course? Take a FREE practice test to assess your knowledge!

When do you want to sit your accelerated course?

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21.8.2017 (Monday)

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Here's the Firebrand Training review section. Since 2001 we've trained exactly 65.217 students and asked them all to review our Accelerated Learning. Currently, 96.56% have said Firebrand exceeded their expectations:



"A high tempo and lots to learn from a great instructor. Thanks for helping me pass the exam in a quick tempo."
Seth Lindholm, Advitum AB (SWEDEN). - Microsoft MCSA: Office 365 (5 days) (21.11.2016 to 25.11.2016)

"The trainer is an excellent instructor who manages to clearly elucidate even the more arcane aspects of Windows Powershell and the infrastructure required for the higher level concepts of the subject matter, e.g. federation services and active directory synchronization. His enthusiasm as an instructor and his humor helped to make the long and intense days go by more quickly. I would definitely work with him again."
Oliver Whisonant, GECO Deutschland GmbH. - Microsoft MCSA: Office 365 (5 days) (21.11.2016 to 25.11.2016)

"It was really great experience."
Saurabh Jain, Cognizant. - Microsoft MCSA: Office 365 (5 days) (21.11.2016 to 25.11.2016)

"Good!"
Anand Bhopale. - Microsoft MCSA: Office 365 (5 days) (21.11.2016 to 25.11.2016)

"GOOD!"
Amit Tripathi, Software Architect . - Microsoft MCSA: Office 365 (5 days) (21.11.2016 to 25.11.2016)

"Very good."
Parikshit Kulkarni. - Microsoft MCSA: Office 365 (5 days) (21.11.2016 to 25.11.2016)

"Firebrand Training is very good training, it has good instructor, also good planning, materials and location."
Anonymous - Microsoft MCSA: Windows Server 2012 R2 (9 days) (26.5.2014 to 2.6.2014)

"It was a great experience. Definitely would recommend the course."
Junaid Shakoor, Perspective Publishing Limited. - Microsoft Programming in HTML5 with JavaScript and CSS3 (3 days) (11.11.2017 to 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 days) (9.11.2017 to 11.11.2017)

"Very good course and instructor, mixed course details with real life experience."
Anonymous - Microsoft Deploying Enterprise Voice with Skype for Business 2015 (3 days) (9.11.2017 to 11.11.2017)

"An intensive course but still managed to go through all material."
Anonymous - Microsoft Core Solutions of Skype for Business 2015 (3 days) (6.11.2017 to 8.11.2017)

"The instructor made the course accessible and interesting."
Matthew Ottley, Manuli Hydraulics UK Ltd. - Microsoft Server Infrastructure (6 days) (30.10.2017 to 4.11.2017)

"The trainer had good hands-on experience of the product, which made the course interesting."
Thomas Thomas, Diyar United Co. - Microsoft MCSE: Messaging (Exchange 2016) (6 days) (2.10.2017 to 7.10.2017)

"Excellent trainer. "
J.PK, Diyar United Company. - Microsoft MCSE: Messaging (Exchange 2016) (6 days) (2.10.2017 to 7.10.2017)

"My level of knowledge of SQL was null when I started the course, after the first three days I had a basic idea of how to use TSQL to write queries, although the second part of the course was really advance for a beginner, it was really good explained and I was able to understand most of it and will keep in the future. Didn't pass the first test and I did not do the second test. "
Merce Bauza Cerezo, HEE. - Microsoft MCSA: SQL Server 2016 - Database Development (6 days) (30.10.2017 to 4.11.2017)

"Enjoyed my time doing SQL 2016 DD. The condensed long day format works very well for me. I even have a a Failure is not an option T-Shirt. I really like these courses."
Roy Casella, Designated. - Microsoft MCSA: SQL Server 2016 - Database Development (6 days) (30.10.2017 to 4.11.2017)

"Good course, very intense though. Very good coverage of all concepts - trainer was extremely knowledgeable and helpful."
Barry Henty, Natures Way Foods Ltd. - Microsoft MCSA: SQL Server 2016 - Database Development (6 days) (30.10.2017 to 4.11.2017)

"It is a great experience with very good course quality."
Brayan De Abreu, Service Works Group.. - Microsoft MCSA: SQL Server 2016 - Database Development (6 days) (30.10.2017 to 4.11.2017)

"Firebrand exceeded my expectations. With just starting career in IT I was provided with courseware and referencing material I will constantly be referring to even after the course has finished."
Hayley Bean, Steelite International Ltd. - Microsoft MCSA: SQL Server 2016 - Database Development (6 days) (30.10.2017 to 4.11.2017)

"I had heard a few things about Firebrand training prior to arriving certain individuals said I would be forced to stay up reading and studying all night. But after experiencing it myself I learnt that everyone's experience is different. The food and accommodation is amazing and the learning is set to a bearable pace that you have the opportunity to settle down and let the knowledge sink in."
Alexander Farrow Harson, Department for Education. - Microsoft MCSA: SQL Server 2016 - Database Development (6 days) (30.10.2017 to 4.11.2017)

"Great facilities and experienced staff and trainer."
Michael ODonnell, Sopra Steria Ltd. - Microsoft Private Cloud (6 days) (23.10.2017 to 28.10.2017)

"Training was brilliant, our instructor was superb and actually managed to make IT engaging and interesting so kudos to that. Facilities are good, but the days are long and intense!"
James Lewis, Carillion Communications Ltd. - Microsoft MCSA: Windows 10 (6 days) (23.10.2017 to 28.10.2017)

"If you are serious about learning and want to excel in your chosen profession take a Firebrand course and set yourself up for life."
S.L.. - Microsoft MCSA: Windows 10 (6 days) (23.10.2017 to 28.10.2017)

"Instructors are extremely knowledgeable, supportive and very approachable."
Stephen Austin, Clearcast. - Microsoft MCSA: Windows 10 (6 days) (23.10.2017 to 28.10.2017)

"If you need training or qualifications, and you need it now, forget trying to learn from a book, or local collage where it may get strung out over months. A course at Firebrand delivers everything you need quickly, comprehensively and in a smooth professional manor. So who you gonna call?"
D.J., Dazzle Computer Solutions (Self Employed). - Microsoft MCSA: Windows 10 (6 days) (23.10.2017 to 28.10.2017)

"The training provided was hard, however the trainer made it easier to cope with and get knowledge out of the lesson without getting bogged down in information"
D.V., Platinum Stairlifts LTD . - Microsoft MCSA: Windows 10 (6 days) (23.10.2017 to 28.10.2017)

"This is the best experience I have had over my seven trips to Firebrand Wyboston and this is because of how the instructor has put the knowledge across to us. "
Anonymous - Microsoft MCSA: Windows 10 (6 days) (23.10.2017 to 28.10.2017)

"Had a good experience with firebrand Training. It was hard but was produce well by my lecturer which gave us a better chance of taking in the information and learning it for the exam. Must be prepared for very long days and very short nights but apart from that all was good and accommodation in executive suite was nice, clean and sanitary."
Jack Pollinger, Lockheed martin. - Microsoft MCSA: Windows 10 (6 days) (23.10.2017 to 28.10.2017)

"Having studied at firebrand previously I was eager to return for the MCSA Server 2016 course. The learning environment and proximity of hotel at the Wyboston site suited me well. If you never find time to study at work or in your personal time then firebrand provide the perfect environment for both learning and passing exams, and all without taking too much time away from work."
Anonymous - Microsoft MCSA: Windows Server 2016 (11 days) (12.10.2017 to 22.10.2017)

"A fantastic course with a great instructor. Worth every penny."
Daniel De La Flor. - Microsoft MCSA: Windows Server 2016 (11 days) (12.10.2017 to 22.10.2017)

"Intense and knowledge filled, but the rewards are worth it."
Anonymous - Microsoft MCSA: Office 365 (5 days) (16.10.2017 to 20.10.2017)

"If you are capable of keeping up with intense training you will definitely be qualified by the end of your course!"
Ben Gerrard, Fourteen IP. - Microsoft Windows Server 2016 - Installation, Storage and Compute (4 days) (12.10.2017 to 15.10.2017)

"Great instructor and course content delivery. Highly recommended."
G.R.. - Microsoft Windows Server 2016 - Installation, Storage and Compute (4 days) (12.10.2017 to 15.10.2017)

"Really good course, great pace and the instructor was of course very knowledgeable about the subject. I feel like I have a greater understanding of the workings of server 2016, and I am very excited for the next part of the course. Cheers guys! "
Kristian Ward, Switch Networks Ltd. - Microsoft Windows Server 2016 - Installation, Storage and Compute (4 days) (12.10.2017 to 15.10.2017)

"Recommend this course for anyone in the IT industry as Firebrand has a great base of knowledge. "
Anonymous - Microsoft Windows Server 2016 - Installation, Storage and Compute (4 days) (12.10.2017 to 15.10.2017)

"Great instructor, and a well lead course."
Anonymous - Microsoft Windows Server 2016 - Installation, Storage and Compute (4 days) (12.10.2017 to 15.10.2017)

"Have had a good experience at Firebrand. The instructor has been fantastic and has provided all the information needed to pass the exams."
B.R., Halton Borough Council. - Microsoft MCSD: SharePoint 2013 Applications – Developing Server Solutions (6 days) (9.10.2017 to 14.10.2017)

"Firebrand taught me 2 months ago for a networking course and was just as good this time, highly recommend Firebrand. Until next time!"
Jordan Duncan, LSI Architects. - Microsoft MTA Security Fundamentals (2 days) (6.10.2017 to 7.10.2017)

"This is now the 3rd time I have attended a Firebrand course and still cannot fault them. Each instructor I've had has been extremely knowledge and helpful. I have recommended FB to many colleagues."
Laura OConnor, Utilita Energy Limited. - Microsoft MTA Security Fundamentals (2 days) (6.10.2017 to 7.10.2017)

"The course was intensive with a lot to take in during a short period but you have every resource you need. Great Staff, great atmosphere and you get well looked after too. I'll be back!"
D.W.. - Microsoft MCSE: Messaging (Exchange 2016) (6 days) (2.10.2017 to 7.10.2017)

"Excellent tutor, all explained clearly and in detail."
Arkadiusz Rycyk, Environ Audio Ltd. - Microsoft Programming in C# (4 days) (2.10.2017 to 5.10.2017)

"The teaching was dynamic, engaging, immersive and knowledgeable. The instructor made complex concepts simple. I enjoyed the course very much. "
Richard Barnes, Whale Tankers. - Microsoft Programming in C# (4 days) (2.10.2017 to 5.10.2017)

"Intense but very rewarding course, learned a lot in a few days."
S.S.. - Microsoft Programming in C# (4 days) (2.10.2017 to 5.10.2017)

"The course was very intense and very informative, real examples were given to concepts hard to understand."
Anonymous - Microsoft Programming in C# (4 days) (2.10.2017 to 5.10.2017)

"Training with Firebrand has been a great way to kick-start my IT certifications and to help me aim to progress in my careers. Instructors are knowledgeable and insightful and the learning experience was top notch!"
L.M.. - Microsoft MTA: Windows Server Administration Fundamentals (2 days) (2.10.2017 to 3.10.2017)

"Great facilities, good teacher and an enjoyable course."
Adam Batten. - Microsoft MTA Software Development Fundamentals (2 days) (28.9.2017 to 29.9.2017)

"This course was condensed but covered most of the topics. Will recommend to my colleagues and friends. One has to understand OOP, SDLC, VS, .net +Core. The Dev course was tough for me but the trainer made it understandable for me. "
P.A., kpdsolutions Ltd and contract client - TfL. - Microsoft MCSE: Cloud Platform and Infrastructure (Azure) (9 days) (9.9.2017 to 17.9.2017)

"Excellent and to the point, cannot not praise enough the instructor whose delivery was impeccable. "
P.V.. - Microsoft MCSD: Azure Solutions Architect (9 days) (9.9.2017 to 17.9.2017)

"The training was well structured and comprehensive. I filled in my Azure knowledge gaps and the instructor prepared me for the exams excellently, and was extremely knowledgeable, patient, and friendly throughout. All hail Lord Chinzilla!"
Chris Smallman. - Microsoft MCSE: Cloud Platform and Infrastructure (Azure) (9 days) (9.9.2017 to 17.9.2017)

"Lots of long days paid off - the course was tough but greatly rewarding. The instructor was a brilliant coach and we wouldn't have made it through the 9 days without him. The food wasn't bad either!"
Joseph Ellis, PA Consulting. - Microsoft MCSE: Cloud Platform and Infrastructure (Azure) (9 days) (9.9.2017 to 17.9.2017)

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.

Read more ...

Interested? See prices or call 0720-880599

Use your free Microsoft training vouchers

You may be entitled to heavily-discounted training via Microsoft's Software Assurance Training Voucher (SATV) scheme. If your business has bought Microsoft software, check to see if it came bundled with free training vouchers! Vouchers can be exchanged against training for all Microsoft technologies. If you’re unsure, get in touch with us

Other accelerated training providers rely heavily on lecture and independent self-testing and study.

Effective technical instruction must be highly varied and interactive to keep attention levels high, promote camaraderie and teamwork between the students and instructor, and solidify knowledge through hands-on learning.

Firebrand Training provides instruction to meet every learning need:

  • Intensive group instruction
  • One-on-one instruction attention
  • Hands-on labs
  • Lab partner and group exercises
  • Question and answer drills
  • Independent study

This information has been provided as a helpful tool for candidates considering training. Courses that include certification come with a Certification Guarantee. Pass first time or train again for free (just pay for accommodation, exams and incidental costs). We do not make any guarantees about personal successes or benefits of obtaining certification. Benefits of certification determined through studies do not guarantee any particular personal successes.

Read more ...

Interested? See prices or call 0720-880599

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.

Read more ...

Interested? See prices or call 0720-880599

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.

Read more ...

Interested? See prices or call 0720-880599

Microsoft Official Curriculum

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

Firebrand Training offers top-quality technical education and certification training in an all-inclusive course package specifically designed for the needs and ease of our students. We attend to every detail so our students can focus solely on their studies and certification goals.

Our Accelerated Learning Programmes include:

  • Intensive Hands-on Training Utilising our (Lecture | Lab | Review)TM Delivery
  • Comprehensive Study Materials, Program Courseware and Self-Testing Software including MeasureUp *
  • Fully instructor-led program with 24 hour lab access
  • Examination vouchers **
  • On site testing ***
  • Accommodation, all meals, unlimited beverages, snacks and tea / coffee****
  • Transportation to/from designated local railway stations
  • Examination Passing Policy

Our instructors teach to accommodate every student's learning needs through individualised instruction, hands-on labs, lab partner and group exercises, independent study, self-testing, and question/answer drills.

Firebrand Training has dedicated, well-equipped educational facilities where you will attend instruction and labs and have access to comfortable study and lounging rooms. Our students consistently say our facilities are second-to-none.

Firebrand goes digital

We’re currently migrating from printed to digital courseware. Some courseware is already available in digital, while other books remain in printed form. To find out if this course is digital, call us on 0720-880599.

There are several benefits of easy-to-use digital courseware: downloads are immediate, and you’ll always have your courseware available wherever you are. You won’t need to wait for a printed book to be delivered before you start learning – and it’s better for the environment. You can choose to download the courseware to your own device, or borrow one of ours.

Considering a Microsoft course? Always have the most up-to-date Microsoft digital courseware with ‘Fresh Editions’. This gives you access to all versions of digital courseware – you’ll receive updates and revisions of your textbook, at no charge, for the life of that course.

Examination Passing Policy

Should a student complete a Firebrand Training Program without having successfully passed all vendor examinations, the student may re-attend that program for a period of one year.  Students will only be responsible for accommodations and vendor exam fees.

Please note

  • * Not on all courses
  • ** Examination vouchers are not included for the following courses: PMI, GIAC, CISA, CISM, CGEIT, CRISC, CISSP CBK Review and CSX Practitioner Level 1,2 and 3
  • *** On site testing is not included for our PMI, GIAC, CSX Practitioner or ITIL Managers and Revision Certification Courses.
  • **** Accommodation not included on the CISSP CBK Review Seminar

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Interested? See prices or call 0720-880599

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.

Unsure whether you meet the prerequisites?

Don’t worry - we’ll discuss your technical background, experience and qualifications to determine whether this accelerated course suits you.

Just call us on 0720-880599 and speak to one of our enrolment consultants.

Firebrand is an immersive environment and requires commitment. Some prerequisites are simply guidelines; you may find your unique experience, attitude and determination enables you to succeed on your accelerated course.

Interested? See prices or call 0720-880599