Firebrand Academy: Microsoft Professional Program for Big Data

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The Programme
The Firebrand Academy: Microsoft professional Program for Big Data offers a fresh take on closing your skills gap.

It´s a complete training programme designed specifically to develop a highly skilled Big Data specialist for you, in no time and hassle-free. A specialist, who is ready to select statements and orchestrate big data workflows in the cloud.

Grow your business with a Firebrand Academy Big Data candidate
Firebrand Academy Big Data candidates challenge habits, push innovation into cultures and discover new solutions. They are ambitious, committed and flexible and they support an attitude that fuels growth.

And don’t forget, your Firebrand Academy programme is all inclusive. We’ll recruit the perfect candidate for you. We’ll train your new employee into a highly skilled, fully-productive and value-adding IT professional in no time. Plus we´ll give you the tools you´ll need for a seamless and successful retention process of the candidates. Or, if you already have a candidate in mind, they´re more than welcome to join the training programme as well.

Programme summary

Price

DKK 74.900 Excl VAT

Duration

3-5 Months

Program Overview

On this Academy program, your candidates will learn how to build big data solutions for batch and real-time stream processing using Azure managed services and open source systems like Hadoop and Spark. In other words, this program will teach your candidates the skills they´ll need to capture, process, and analyse data that will help your business grow.

Module 1 - Big Data Fundamentals

This module offers an introduction to Big Data in Windows Azure. It covers database fundamentals like different DB models such as Rational Databases, DDL, DML and DCL introduction and NoSQL Databases and their transition to Big Data and Windows Azure

Microsoft Professional Orientation : Big Data

Get started with the Microsoft Professional Program for Big Data by learning how the program works, and getting up to speed with some basic data fundamentals.

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Format

Online Course

Duration

9-12 Hours

Certification

Verified Certificate

Learn what it takes to build Big Data analytics solutions.

This is the first stop in the Big Data curriculum from Microsoft. It will help you get started with the curriculum, plan your learning schedule, and connect with fellow students and teaching assistants. Along the way, you’ll get an introduction to working with data and some fundamental concepts and technologies for Big Data scenarios.

 

What you'll learn

  • ​An introduction to data formats, technologies, and techniques
  • Fundamentals of Relational Databases
  • Fundamentals of NoSQL Databases
  • An overview of principles and technologies for working with Big Data

 

Analyzing and Visualizing Data with Excel

Explore tools in Excel that enable the analysis of more data than ever before, with improved visualizations and more sophisticated business logic. Learn how to import data from different sources, create mashups between data sources, and prepare data for analysis.

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Format

Online Course

Duration

12-24 Hours

Certification

Verified Certificate

Excel is one of the most widely used solutions for analyzing and visualizing data. It now includes tools that enable the analysis of more data, with improved visualizations and more sophisticated business logics. In this data science course, you will get an introduction to the latest versions of these new tools in Excel 2016 from an expert on the Excel Product Team at Microsoft.

What you'll learn

  • Gather and transform data from multiple sources
  • Discover and combine data in mashups
  • Learn about data model creation
  • Explore, analyze, and visualize data

 

Introduction to NoSQL Data Solutions

Learn the fundamentals of NoSQL and explore several non-relational data storage options in Microsoft Azure.

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Format

Online Course

Duration

6-9 Hours

Certification

Verified Certificate

As a data pro, you know that some scenarios—particularly those involving real-time analytics, site personalization, IoT, and mobile apps—are better addressed with NoSQL storage and compute solutions than they are with relational databases. Microsoft Azure has several NoSQL (or “Not Only SQL”) non-relational data storage options to choose from. NoSQL databases are generally built to be distributed and partitioned across many servers. 

What you'll learn

  • NoSQL fundamentals
  • Overview of NoSQL options in Azure Cosmos DB
  • Fundamental techniques for using the DocumentDB API, Tables API, and MongoDB API
  • Other techniques for accessing and improving performance of your NoSQL storage

 

Big Data Fundamentals

During this instructor led training, we´ll get hands-on training with the topics that we trained during the online courses. More specifically, we´ll be working with database fundamentals and learn how to import and visualize data. Also, we´ll be learning about data storage options in Azure.

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Type

Instructor led training

Duration

3 days

This course offers an introduction to Big Data in Windows Azure. It covers database fundamentals like different DB models such as Rational Databases, DDL, DML and DCL introduction and NoSQL Databases and their transition to Big Data and Windows Azure. You'll also learn how to import data from different sources, create mashups between data sources and prepare data for analysis. Learn how data can be visualized and shared to the Power BI cloud service and use data in dashboards, queried using plain English sentences. You'll also be taught the foundation about data storage options in Azure. Create, store and manage access data in different storage options. It also provides Working with Azure Table Storage and Document DB as well as NoSQL options in Azure. This course includes Data Fundamentals Introduction to Relational Databases Introduction to NoSQL Databases Introduction to Big Data Technologies Gather and transform data from multiple sources Discover and combine data in mashups Learn about data model creation Explore, analyze, and visualize data NoSQL fundamentals Overview of NoSQL options in Azure Cosmos DB Fundamental techniques for using the DocumentDB API, Tables API, and MongoDB API Other techniques for accessing and improving performance of your NoSQL storage

Module 2 - Programming with SQL and Introduction to Data Warehousing

This module teaches how to import data from different sources, create mashups between data sources and prepare data for analysis. Learn how data can be visualized and shared to the Power BI cloud service and use data in dashboards, queried using plain English sentences.

Querying Data with Transact-SQL

From querying and modifying data in SQL Server or Azure SQL to programming with Transact-SQL, learn essential skills that employers need.

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Format

Online Course

Duration

24-30 Hours

Certification

Verified Certificate

Transact-SQL is an essential skill for data professionals and developers working with SQL databases. With this combination of expert instruction, demonstrations, and practical labs, step from your first SELECT statement through to implementing transactional programmatic logic.

Work through multiple modules, each of which explore a key area of the Transact-SQL language, with a focus on querying and modifying data in Microsoft SQL Server or Azure SQL Database. The labs in this course use a sample database that can be deployed easily in Azure SQL Database, so you get hands-on experience with Transact-SQL without installing or configuring a database server.

What you'll learn

  • Create Transact-SQL SELECT queries
  • Work with data types and NULL
  • Query multiple tables with JOIN
  • Explore set operators
  • Use functions and aggregate data
  • Work with subqueries and APPLY
  • Use table expressions
  • Group sets and pivot data
  • Modify data
  • Program with Transact-SQL
  • Implement error handling and transactions

 

Delivering a Data Warehouse in the Cloud

Learn how to deploy, design, and load data using Microsoft's Azure SQL Data Warehouse.

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Format

Online Course

Duration

12-18 Hours

Certification

Verified Certificate

When you need to scale your data warehouse's storage and processing capabilities in minutes, not months, you need a cloud-based massively parallel processing solution.

In this computer science course, you will learn how to deploy, design, and load data using Microsoft's Azure SQL Data Warehouse, or SQL DW. You'll learn about data distribution, compressed in-memory indexes, PolyBase for Big Data, and elastic scale.

What you'll learn

  • Choosing a massively parallel processing architecture for a cloud-based data warehouse.
  • Designing tables and indexes to efficiently distribute data in tables across many nodes.
  • Loading data from a variety of sources, querying using PolyBase, securing and recovering data, and integrating into Big Data environments.

 

Processing Big Data with Azure Data Lake Analytics

Learn how to use Azure Data Lake technologies to store and process big data in the cloud.

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Format

Online Course

Duration

12-16 Hours

Certification

Verified Certificate

Want to store and process data at scale? This data analysis course teaches you how to apply the power of the Azure cloud to big data using Azure Data Lake technologies.

Learn how to manage data in Azure Data Lake Store and run U-SQL jobs in Azure Data Lake Analytics to generate insights from structured and unstructured data sources.

What you'll learn

  • Azure Data Lake technologies to store and process data using U-SQL jobs
  • Create and use U-SQL catalog objects
  • Extend your data processing scripts with custom C# code
  • Monitor and optimize U-SQL jobs

 

Programming with SQL and Introduction to Data Warehousing

During this instructor led training, we´ll get hands-on training with the topics that we trained during the online courses. More specifically, we´ll be working with basic and advanced statements in Microsoft SQL or Azure SCL databases. We´ll also train data management to generate insights.

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Type

Instructor led training

Duration

3 days

This course builds the foundation in T-SQL. You will learn how to write basic and advanced statements to work with Data in Microsoft SQL or Azure SQL databases. 

This course also teaches how to deploy, design and load data using Microsoft Azure SQL Data Warehouse or SQL Data Warehouse. You will learn about data distribution PolyBase for Big Data and elastic scale.

You'll also learn how to manage data in Azure Data Lake Store and run U-SQL in Azure Data Lake Analytics to generate insights from structured and unstructured data sources.

The course includes:

  • Create Transact-SQL SELECT queries
  • Work with data types and NULL
  • Query multiple tables with JOIN
  • Explore set operators
  • Use functions and aggregate data
  • Work with subqueries and APPLY
  • Use table expressions
  • Group sets and pivot data
  • Modify data
  • Program with Transact-SQL
  • Implement error handling and transactions
  • Provisioning a SQL Data Warehouse
  • Design Tables and Loading Data
  • Integrating SQL DW in a Big Data solution
  • Getting Started with Azure Data Lake Analytics
  • Using a U-SQL Catalog
  • Using C# Functions in U-SQL
  • Monitoring and Optimizing U-SQL Jobs

 

Module 3 - Big Data in Azure

This module the foundation about data storage options in Azure. Create, store and manage access data in different storage options. It also provides Working with Azure Table Storage and Document DB as well as NoSQL options in Azure.

Processing Real-Time Data Streams in Azure

Learn how to use Microsoft Azure technologies to process real-time data in the cloud.

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Format

Online Course

Duration

12-16 Hours

Certification

Verified Certificate

Want to capture and process real-time data in the cloud?

This data analysis course teaches you how to use Microsoft Azure technologies like Event Hubs, IoT Hubs, and Stream Analytics to build real-time Internet-of-Things (IoT) solutions at scale.

What you'll learn

  • Capturing real-time data with Azure Event Hubs and IoT Hubs
  • Processing real-time data with Azure Stream Analytics
  • Aggregating data in temporal windows
  • Monitoring streaming solutions in Azure

 

Orchestrating Big Data with Azure Data Factory

Learn how to use Microsoft Azure Data Factory to orchestrate big data workflows in the cloud.

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Format

Online Course

Duration

12-16 Hours

Certification

Verified Certificate

Need to schedule and manage big data workflows?

This data analysis course teaches you how to use Azure Data Factory to coordinate data movement and transformation using technologies such as Hadoop, SQL, and Azure Data Lake Analytics. You will learn how to create data pipelines that will allow you to group activities to perform a certain task.

What you'll learn

  • Creating data workflows with Azure Data Factory
  • Scheduling data pipelines to orchestrate big data processes
  • Applying data transformations in a pipeline with Hive or U-SQL

 

Developing Big Data Solutions with Azure Machine Learning

Learn how to build predictive web services for Big Data workflows using Azure Machine Learning.

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Format

Online Course

Duration

12-16 Hours

Certification

Verified Certificate

The past can often be the key to predicting the future. Big data from historical sources is a valuable resource for identifying trends and building machine learning models that apply statistical patterns and predict future outcomes.

This course introduces Azure Machine Learning, and explores techniques and considerations for using it to build models from big data sources, and to integrate predictive insights into big data processing workflows.

What you'll learn

  • How to create predictive web services with Azure Machine Learning
  • How to work with big data sources in Azure Machine Learning
  • How to integrate Azure Machine Learning into big data batch processing pipelines
  • How to integrate Azure Machine Learning into real-time big data processing solutions

 

Big Data in Azure

During this instructor led training, we´ll get hands-on training with the topics that we trained during the online courses. More specifically, we´ll be working with Event HUB, IoT Hubs and Stream Analytics, learn how to use Azure Data Factory, and be introduced to Azure Machine Learning.

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Type

Instructor led training

Duration

3 days

In this course you will learn how to use Event HUB, IoT Hubs and Stream Analytics to build real-time Internet-of-Things projects.

you'll also be taught how to use Azure Data Factory to orchestrate data movement and transformation using technologies like Hadoop SQL and Azure Data Lake Analytics.

This course also provides an introduction toe Azure Machine Learning. Learn how to build models from Big Data sources and integrate data processing workflows.

The course includes:

  • Getting Started with Azure Event Hubs and IoT Hubs
  • Using Azure Stream Analytics
  • Aggregating Data in Temporal Windows
  • Monitoring a Streaming Solution
  • Getting Started with Azure Data Factory
  • Scheduling Pipelines
  • Transforming Data in Pipelines
  • Introduction to Azure Machine Learning
  • Building Predictive Models with Azure Machine Learning
  • Operationalizing Machine Learning Models
  • Using Azure Machine Learning in Big Data Solutions

 

Module 4 - Value Creating Consultant

During the fourth module, we´ll train your candidates in the commercial and personal skills, that are central for a skilled consultant and IT expert.

Value Creating Consultant

In this module your candidates will learn the commercial and personal skills that will be invaluable when meeting customers and internal stakeholders and teammates as well.

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Type

Instructor led training

Duration

2 days

During the Value Creating Consultant module, your candidates will learn the most relevant and up to date best practice commercial insights, that will enable them to understand the business process mechanisms including: Buying processes, sales processes, how organizations buy etc. This insight will enable them to understand how businesses work, and they´ll learn the latest tools, methods and techniques that will support them when they interact with customers in their daily business. The course is highly interactive, with 40-50% of the time being spent on practical application and role playing, peer review etc.

 

Module 5 - Final Capstone Project

The final Capstone project will Validate the skills and knowledge your candidates have learned by completing the Firebrand Academy Big Data Microsoft Professional Program. The Capstone project will provide your candidates with a series of tasks based activities around the core subject areas that validate the skills they have developed. The tasks will cover Role, Technical and Productivity skills.

Microsoft Professional Capstone : Big Data

Apply your Big Data skills by completing this capstone project for the Microsoft Professional Program in Big Data.

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Format

Online Course

Duration

12-16 Hours

Certification

Microsoft Professional Program Certificate in Big Data

The Microsoft Professional Program for Big Data is a comprehensive curriculum that teaches you how to build big data solutions.

In this capstone project, you will undertake challenges to design, implement, and document a big data solution based on what you have learned.

What you'll learn

  • Apply the big data skills you have learned in the Microsoft Professional Program for Big Data to build a big data solution.

 

"If we only take the salary into consideration, then we have break even on our investment in the Academy candidate within 5 months."

JCD

Peter Linnet - Manager

"You can put it like this, you either close or you grow in our market."

Datacon

Kenn Buhl - Director

"The two candidates were already being productive, ready to meet customers and organize workshops when they had completed their 3-month Academy program."

Daxiomatic

Pia Tasior - HR & Communications Manager

"It's one of the best hires of my 25 years as a CEO."

2ndC

Jesper Bergstedt - CEO

"Within 12 months they´ve developed into consultants equal to their senior colleagues and we fully expect that most of them will continue their development and become among our best senior consultants."

EG

Tina Bodin - HR Director

"It took Henrik just 2 weeks to be able to deliver billable hours and within 4 months, we had a positive return on our investment. Of course there is still much to learn, but he also makes a significant contribution."

X-Link

Ulrik Knudsen - Director

"The candidates we met were brilliant! They had a very special kind of energy and drive. We´ve found that within 6-10 months of employment, the young Academy graduates are charging hours at the same rate as their more senior colleagues."

KMD

Søren Billeskov - Head of Talent Management

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Our Facts

200+

Courses

With us you´ll find 200+ accelerated course- and certification programmes and we can train talent in every single one. Whatever your chosen technology; we´ll create your experts.

70%

Billable hours

Firebrand Candidates are quickly ready to deliver value. Within a year the candidates are, on average, billing 70% or more of their time to customers.

97%

Stay in their first job

We´ve currently recruited and trained more than 300 candidates and when we asked them after two years of employment, 97% of them had stayed on with the original employer.

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