Microsoft MCSA: Data Engineering with Azure - Only 5 Days

Seven 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 certified in just 5 days. With us, you’ll be MCSA Data Engineering with Azure trained in record time
  2. Our MCSA Data Engineering with Azure course is all-inclusive. A one-off fee covers all course materials, exams, accommodation and meals. No hidden extras
  3. Pass MCSA Data Engineering with Azure first time or train again for free. This is our guarantee. We’re confident you’ll pass your course first time. But if not, come back within a year and only pay for accommodation, exams and incidental costs
  4. You’ll learn more MCSA Data Engineering with Azure. A day with a traditional training provider generally runs from 9am – 5pm, with a nice long break for lunch. With Firebrand Training you’ll get at least 12 hours/day quality learning time, with your instructor
  5. You’ll learn MCSA Data Engineering with Azure faster. Chances are, you’ll have a different learning style to those around you. We combine visual, auditory and tactile styles to deliver the material in a way that ensures you will learn faster and more easily
  6. You’ll be studying MCSA Data Engineering with Azure with the best. We’ve been named in Training Industry’s “Top 20 IT Training Companies of the Year” every year since 2010. As well as winning many more awards, we’ve trained and certified 66,105 professionals, and we’re partners with all of the big names in the business
  7. You'll do more than study MCSA Data Engineering with Azure courseware. We use practical exercises to make sure you can apply your new knowledge to the work environment. Our instructors use demonstrations and real-world experience to keep the day interesting and engaging

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

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Here's the Firebrand Training review section. Since 2001 we've trained exactly 66,105 students and asked them all to review our Accelerated Learning. Currently, 96.61% have said Firebrand exceeded their expectations:



"Concise and highly informative, with a combination of clear theoretical and practical examples."
M.W., Transport for London. - Microsoft MTA Software Development Fundamentals (2 days) (19/2/2018 to 20/2/2018)

"Very useful and insightful course!"
Rhys Banton-Laing, Schroders. - Microsoft MTA Software Development Fundamentals (2 days) (19/2/2018 to 20/2/2018)

"Firebrand courses are accelerated and intensive but worth the effort. The Instructors do a very excellent job of ensuring all aspects of the course are covered"
Luis Gallagher-Munhica, Comp Consult Ltd. - Microsoft MTA Software Development Fundamentals (2 days) (19/2/2018 to 20/2/2018)

"A fantastic intensive course that will cover installation and configuration. Don't expect it to be easy but DO expect it to be informative. Our instructor balanced real-world examples alongside the theoretical that enabled key technologies to simply Click. With sufficient pre-study this course would be the icing on the cake, as-it-were, and be a gateway into Microsoft certification. Recommended."
Robert Walker. - Microsoft MCSA: Windows Server 2016 (11 days) (8/2/2018 to 18/2/2018)

"It was great to be in an environment with minimal distractions to enable me to achieve the objectives of this course so quickly. The staff are all very friendly and helpful and the accommodation is clean and comfortable. The food was excellent and the training rooms were well equipped with modern equipment."
J.C., James T. Blakeman & Co. Ltd.. - Microsoft MCSA: Windows Server 2016 (11 days) (8/2/2018 to 18/2/2018)

"Training was great as usual. Feeling very prepared for my exam. Thanks to the instructor for all the great training, and to Firebrand once again."
Kristian Ward, Switch Networks Ltd. - Microsoft MCSA: Windows Server 2016 (11 days) (8/2/2018 to 18/2/2018)

"Firebrand has delivered another great course at Wyboston and honestly Ive learnt so much while being on this course its almost unreal. The last module has blown my mind with its depth. I definitely recommend this course to anyone who is starting their IT journey. Also OPS were awesome "
Steven Rincon. - Microsoft MCSA: Windows Server 2016 (11 days) (8/2/2018 to 18/2/2018)

"As long a you can handle the fierceness of the course, I would recommend this to any one who just wants to get on!"
Simon Fenwick, Staysure. - Microsoft MCSA: Windows Server 2016 (11 days) (8/2/2018 to 18/2/2018)

"I had a great experience at firebrand, met loads of great people and had a great teacher."
Julian Lamprea, HEE. - Microsoft Developing Microsoft Azure Solutions (4 days) (13/2/2018 to 16/2/2018)

"My best approach to rapid learning. Home studying is too slow and lacks discipline for me and time available. Would rather pay the premium, sleep little, get an awesome trainer, get the skills and then make money from the investment. Thanks Firebrand!"
Roy Casella, Designated. - Microsoft MCSA: Office 365 (5 days) (22/1/2018 to 26/1/2018)

"VERY (and that's in capital letters!) intense training course, but very worthwhile. I took the training course to get in-depth knowledge of Office365, but ended up passing the exam, with an MCP, even when I didn't intend to take the exams."
John Oliver, Frontline Consultancy. - Microsoft MCSA: Office 365 (5 days) (22/1/2018 to 26/1/2018)

"My Firebrand experience has been, as always, great. I really enjoy it here, all the late nights and worrying are all part of the fun!"
Timothy Farmer. - Microsoft MCSA: Office 365 (5 days) (22/1/2018 to 26/1/2018)

"Well organised, interactive and fun with a mixture of different teaching styles. Pleased with this course!"
S.C.. - Microsoft MTA Networking, Security & Windows Server Administration (6 days) (8/1/2018 to 13/1/2018)

"Great Instructor. I love the Measure ups that help prepare for the exam and course content is relevant to today's technologies and older technologies that are still in the exam."
Chris Hunt, Utilita. - Microsoft MTA Networking, Security & Windows Server Administration (6 days) (8/1/2018 to 13/1/2018)

"The instructor kept us engaged through long days of intense training. Educational and enjoyable, which isn't easy over a 12 hour day!"
Joe Gibbons, Utilita. - Microsoft MTA Networking, Security & Windows Server Administration (6 days) (8/1/2018 to 13/1/2018)

"Firebrand provides beneficial training in great detail. The days are long but engaging and free drinks keep me focused."
Joe Gibbons, Utilita. - Microsoft MTA Networking, Security & Windows Server Administration (6 days) (8/1/2018 to 13/1/2018)

"I started programming in C# 6 months ago. My time at firebrand has definitely as least doubled my prior knowledge."
Natalie Flower. - Microsoft Programming in C# (4 days) (3/1/2018 to 6/1/2018)

"For a robust and concentrated burst of structured learning you cannot do better then Firebrand. Your time in the classroom will be intense but you and your course mates will develop a rapport that will support your learning and provide for release during downtime. For best results come with your course material reviewed and fresh in your mind."
Christopher Helsby. - Microsoft MCSA: Office 365 (5 days) (18/12/2017 to 22/12/2017)

"The course felt very well paced and was structured in a way that didn't feel like an overload of information all at once. The instructor was very helpful and willing to go through a topic multiple times to ensure you understand it fully. "
B.M., Cambridgeshire Fire & Rescue. - Microsoft MTA Database Fundamentals (2 days) (16/12/2017 to 17/12/2017)

"The course was everything that I expected and more. The instructor made the subjects easy and simple to understand. "
Anonymous - Microsoft MCSA: Windows Server 2016 (11 days) (7/12/2017 to 17/12/2017)

"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 MCSE: Productivity (Skype for Business - Deploying Enterprise Voice) (3 days) (9/11/2017 to 11/11/2017)

"Very good course and instructor, mixed course details with real life experience."
Anonymous - Microsoft MCSE: Productivity (Skype for Business - Deploying Enterprise Voice) (3 days) (9/11/2017 to 11/11/2017)

"An intensive course but still managed to go through all material."
Anonymous - Microsoft MCSE: Productivity (Skype for Business - Core Solutions) (3 days) (6/11/2017 to 8/11/2017)

"The Location is perfect, quiet and peaceful. Great experience."
Dave Palmer, Capgemini. - Microsoft Architecting Microsoft Azure Solutions (3 days) (4/11/2017 to 5/11/2017)

"Firebrand have a clear mission to assist you with their capacity to teach. They are very customer friendly at the Centre and always try to help. AAA+++"
Simon Korie, NA. - Microsoft Architecting Microsoft Azure Solutions (3 days) (4/11/2017 to 5/11/2017)

"The instructor made the course accessible and interesting."
Matthew Ottley, Manuli Hydraulics UK Ltd. - Microsoft MCSE: 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 location, friendly and helpful team. The food was delicious! "
Mark Tshuma, ICAEW. - Microsoft Dynamics 365 Development (3 days) (30/10/2017 to 1/11/2017)

"Great facilities and experienced staff and trainer."
Michael ODonnell, Sopra Steria Ltd. - Microsoft MCSE: 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)

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) will 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 080 80 800 888

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 080 80 800 888

20775A: Perform Data Engineering on Microsoft Azure HDInsight

Module 1: Getting Started with HDInsight

This module introduces Hadoop, the MapReduce paradigm, and HDInsight.

Lessons

  • What is Big Data?
  • Introduction to Hadoop
  • Working with MapReduce Function
  • Introducing HDInsight

Lab : Working with HDInsight

  • Provision an HDInsight cluster and run MapReduce jobs

After completing this module, students will be able to:

  • Describe Hadoop, MapReduce and HDInsight.
  • Use scripts to provision an HDInsight Cluster.
  • Run a word-counting MapReduce program using PowerShell.

Module 2: Deploying HDInsight Clusters

This module provides an overview of the Microsoft Azure HDInsight cluster types, in addition to the creation and maintenance of the HDInsight clusters. The module also demonstrates how to customise clusters by using script actions through the Azure Portal, Azure PowerShell, and the Azure command-line interface (CLI). This module includes labs that provide the steps to deploy and manage the clusters.

Lessons

  • Identifying HDInsight cluster types
  • Managing HDInsight clusters by using the Azure portal
  • Managing HDInsight Clusters by using Azure PowerShell

Lab : Managing HDInsight clusters with the Azure Portal

  • Create an HDInsight cluster that uses Data Lake Store storage
  • Customise HDInsight by using script actions
  • Delete an HDInsight cluster

After completing this module, students will be able to:

  • Identify HDInsight cluster types
  • Manage HDInsight clusters by using the Azure Portal.
  • Manage HDInsight clusters by using Azure PowerShell.

Module 3: Authorising Users to Access Resources

This module provides an overview of non-domain and domain-joined Microsoft HDInsight clusters, in addition to the creation and configuration of domain-joined HDInsight clusters. The module also demonstrates how to manage domain-joined clusters using the Ambari management UI and the Ranger Admin UI. This module includes the labs that will provide the steps to create and manage domain-joined clusters.

Lessons

  • Non-domain Joined clusters
  • Configuring domain-joined HDInsight clusters
  • Manage domain-joined HDInsight clusters

Lab : Authorising Users to Access Resources

  • Prepare the Lab Environment
  • Manage a non-domain joined cluster

After completing this module, students will be able to:

  • Identify the characteristics of non-domain and domain-joined HDInsight clusters.
  • Create and configure domain-joined HDInsight clusters through the Azure PowerShell.
  • Manage the domain-joined cluster using the Ambari management UI and the Ranger Admin UI.
  • Create Hive policies and manage user permissions.

Module 4: Loading data into HDInsight

This module provides an introduction to loading data into Microsoft Azure Blob storage and Microsoft Azure Data Lake storage. At the end of this lesson, you will know how to use multiple tools to transfer data to an HDInsight cluster. You will also learn how to load and transform data to decrease your query run time.

Lessons

  • Storing data for HDInsight processing
  • Using data loading tools
  • Maximising value from stored data

Lab : Loading Data into your Azure account

  • Load data for use with HDInsight

After completing this module, students will be able to:

  • Discuss the architecture of key HDInsight storage solutions.
  • Use tools to upload data to HDInsight clusters.
  • Compress and serialize uploaded data for decreased processing time.

Module 5: Troubleshooting HDInsight

In this module, you will learn how to interpret logs associated with the various services of Microsoft Azure HDInsight cluster to troubleshoot any issues you might have with these services. You will also learn about Operations Management Suite (OMS) and its capabilities.

Lessons

  • Analyse HDInsight logs
  • YARN logs
  • Heap dumps
  • Operations management suite

Lab : Troubleshooting HDInsight

  • Analyse HDInsight logs
  • Analyse YARN logs
  • Monitor resources with Operations Management Suite

After completing this module, students will be able to:

  • Locate and analyse HDInsight logs.
  • Use YARN logs for application troubleshooting.
  • Understand and enable heap dumps.
  • Describe how the OMS can be used with Azure resources.

Module 6: Implementing Batch Solutions

In this module, you will look at implementing batch solutions in Microsoft Azure HDInsight by using Hive and Pig. You will also discuss the approaches for data pipeline operationalisation that are available for big data workloads on an HDInsight stack.

Lessons

  • Apache Hive storage
  • HDInsight data queries using Hive and Pig
  • Operationalise HDInsight

Lab : Implement Batch Solutions

  • Deploy HDInsight cluster and data storage
  • Use data transfers with HDInsight clusters
  • Query HDInsight cluster data

After completing this module, students will be able to:

  • Understand Apache Hive and the scenarios where it can be used.
  • Run batch jobs using Apache Hive and Apache Pig.
  • Explain the capabilities of the Microsoft Azure Data Factory and Apache Oozie and how they can orchestrate and automate big data workflows.

Module 7: Design Batch ETL solutions for big data with Spark

This module provides an overview of Apache Spark, describing its main characteristics and key features. Before you start, it's helpful to understand the basic architecture of Apache Spark and the different components that are available. The module also explains how to design batch Extract, Transform, Load (ETL) solutions for big data with Spark on HDInsight. The final lesson includes some guidelines to improve Spark performance.

Lessons

  • What is Spark?
  • ETL with Spark
  • Spark performance

Lab : Design Batch ETL solutions for big data with Spark.

  • Create a HDInsight Cluster with access to Data Lake Store
  • Use HDInsight Spark cluster to analyse data in Data Lake Store
  • Analysing website logs using a custom library with Apache Spark cluster on HDInsight
  • Managing resources for Apache Spark cluster on Azure HDInsight

After completing this module, students will be able to:

  • Describe the architecture of Spark on HDInsight.
  • Describe the different components required for a Spark application on HDInsight.
  • Identify the benefits of using Spark for ETL processes.
  • Create Python and Scala code in a Spark program to ingest or process data.
  • Identify cluster settings for optimal performance.
  • Track and debug jobs running on an Apache Spark cluster in HDInsight.

Module 8: Analyse Data with Spark SQL

This module describes how to analyse data by using Spark SQL. In it, you will be able to explain the differences between RDD, Datasets and Dataframes, identify the uses cases between Iterative and Interactive queries, and describe best practices for Caching, Partitioning and Persistence. You will also look at how to use Apache Zeppelin and Jupyter notebooks, carry out exploratory data analysis, then submit Spark jobs remotely to a Spark cluster.

Lessons

  • Implementing iterative and interactive queries
  • Perform exploratory data analysis

Lab : Performing exploratory data analysis by using iterative and interactive queries

  • Build a machine learning application
  • Use zeppelin for interactive data analysis
  • View and manage Spark sessions by using Livy

After completing this module, students will be able to:

  • Implement interactive queries.
  • Perform exploratory data analysis.

Module 9: Analyse Data with Hive and Phoenix

In this module, you will learn about running interactive queries using Interactive Hive (also known as Hive LLAP or Live Long and Process) and Apache Phoenix. You will also learn about the various aspects of running interactive queries using Apache Phoenix with HBase as the underlying query engine.

Lessons

  • Implement interactive queries for big data with interactive hive.
  • Perform exploratory data analysis by using Hive
  • Perform interactive processing by using Apache Phoenix

Lab : Analyse data with Hive and Phoenix

  • Implement interactive queries for big data with interactive Hive
  • Perform exploratory data analysis by using Hive
  • Perform interactive processing by using Apache Phoenix

After completing this module, students will be able to:

  • Implement interactive queries with interactive Hive.
  • Perform exploratory data analysis using Hive.
  • Perform interactive processing by using Apache Phoenix.

Module 10: Stream Analytics

The Microsoft Azure Stream Analytics service has some built-in features and capabilities that make it as easy to use as a flexible stream processing service in the cloud. You will see that there are a number of advantages to using Stream Analytics for your streaming solutions, which you will discuss in more detail. You will also compare features of Stream Analytics to other services available within the Microsoft Azure HDInsight stack, such as Apache Storm. You will learn how to deploy a Stream Analytics job, connect it to the Microsoft Azure Event Hub to ingest real-time data, and execute a Stream Analytics query to gain low-latency insights. After that, you will learn how Stream Analytics jobs can be monitored when deployed and used in production settings.

Lessons

  • Stream analytics
  • Process streaming data from stream analytics
  • Managing stream analytics jobs

Lab : Implement Stream Analytics

  • Process streaming data with stream analytics
  • Managing stream analytics jobs

After completing this module, students will be able to:

  • Describe stream analytics and its capabilities.
  • Process streaming data with stream analytics.
  • Manage stream analytics jobs.

Module 11: Implementing Streaming Solutions with Kafka and HBase

In this module, you will learn how to use Kafka to build streaming solutions. You will also see how to use Kafka to persist data to HDFS by using Apache HBase, and then query this data.

Lessons

  • Building and Deploying a Kafka Cluster
  • Publishing, Consuming, and Processing data using the Kafka Cluster
  • Using HBase to store and Query Data

Lab : Implementing Streaming Solutions with Kafka and HBase

  • Create a virtual network and gateway
  • Create a storm cluster for Kafka
  • Create a Kafka producer
  • Create a streaming processor client topology
  • Create a Power BI dashboard and streaming dataset
  • Create an HBase cluster
  • Create a streaming processor to write to HBase

After completing this module, students will be able to:

  • Build and deploy a Kafka Cluster.
  • Publish data to a Kafka Cluster, consume data from a Kafka Cluster, and perform stream processing using the Kafka Cluster.
  • Save streamed data to HBase, and perform queries using the HBase API.

Module 12: Develop big data real-time processing solutions with Apache Storm

This module explains how to develop big data real-time processing solutions with Apache Storm.

Lessons

  • Persist long term data
  • Stream data with Storm
  • Create Storm topologies
  • Configure Apache Storm

Lab : Developing big data real-time processing solutions with Apache Storm

  • Stream data with Storm
  • Create Storm Topologies

After completing this module, students will be able to:

  • Persist long term data.
  • Stream data with Storm.
  • Create Storm topologies.
  • Configure Apache Storm.

Module 13: Create Spark Streaming Applications

This module describes Spark Streaming; explains how to use discretised streams (DStreams); and explains how to apply the concepts to develop Spark Streaming applications.

Lessons

  • Working with Spark Streaming
  • Creating Spark Structured Streaming Applications
  • Persistence and Visualisation

Lab : Building a Spark Streaming Application

  • Installing Required Software
  • Building the Azure Infrastructure
  • Building a Spark Streaming Pipeline

After completing this module, students will be able to:

  • Describe Spark Streaming and how it works.
  • Use discretised streams (DStreams).
  • Work with sliding window operations.
  • Apply the concepts to develop Spark Streaming applications.
  • Describe Structured Streaming.

20776A: Performing Big Data Engineering on Microsoft Cloud Services

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, students will 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, students will 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 AnalyticsThis 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, students will 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, students will 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, students will 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, students will 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, students will 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, students will 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, students will 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

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 080 80 800 888.

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, CISSP CBK Review and CSX Practitioner Level 1,2 and 3
  • *** On site testing is not included for our PMI, GIAC, (ISC)2, CREST, CSX Practitioner or ITIL Managers and Revision Certification Courses.
  • **** Accommodation not included on the CISSP CBK Review Seminar

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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.

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 080 80 800 888 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 080 80 800 888