Microsoft Professional Program (MPP): Big Data

Microsoft Professional Program (MPP): Big Data

Program

Microsoft MPP-BD

Free of Charge

It's your career, think big.

Abstract


With data being captured and analyzed at ever increasing rates, demand for the professionals who can build big data solutions is high. Start with the fundamentals, master the most frequently used tools, and finally prove you have the skills to do the job in these courses from Microsoft, which feature industry and academic experts in big data.

Built in collaboration with leading universities and employers, the Microsoft Professional Program Certificate in Big Data will help you learn the skills you need to build big data solutions using Azure managed services and open source systems like Hadoop and Spark.


What you'll learn


  • Analyze and Visualize Data
  • Work with NoSQL Data
  • Query Relational Data
  • Implement a Data Warehouse
  • Process Big Data at Rest
  • Process Big Data in Motion
  • Orchestrate Big Data Workflows
  • Build Big Data Analysis Solutions

To be eligible to earn a certificate for completing the Microsoft Professional Program in Big Data, please go to https://academy.microsoft.com/en-us/professional-program/tracks/big-data/ to create a Microsoft Academy account. After signing up, you’ll be able to track your progress on a personalized dashboard that updates every time you earn a Verified Certificate in a course from the Big Data track.


How it works


Made up of three units and a final capstone project, the Microsoft Professional Program Certificate in Big Data provides a comprehensive curriculum, featuring courses that teach the skills necessary for a career in big data. Learners can choose from different courses within each unit of study.


Big Data Professional Program - Unit Overview


  • Unit 1 - Fundamentals
    • Course 1: Microsoft Professional Program: Introduction to Big Data
    • Course 2a: Analyzing and Visualizing Data with Power BI   |   Course 2b: Analyzing and Visualizing Data with Excel
    • Course 3: Developing Planet-Scale Applications in Azure Cosmos DB
    • Course 4: Querying Data with Transact-SQL
  • Unit 2 – Big Data Processing
    • Course 5: Delivering a Data Warehouse in the Cloud
    • Course 6a: Processing Big Data with Azure Data Lake Analytics   |   Course 6b: Processing Big Data with Hadoop in Azure HDInsight
    • Course 7a: Processing Real-Time Data Streams in Azure   |   Course 7b: Implementing Real-Time Analytics with Hadoop in Azure HDInsight
  • Unit 3 – Big Data Analysis Solutions
    • Course 8: Orchestrating Big Data with Azure Data Factory
    • Course 9a: Developing Big Data Solutions with Azure Machine Learning   |   Course 9b: Analyzing Big Data with Microsoft R   |   Course 9c: Implementing Predictive Analytics with Spark in Azure HDInsight
  • Unit 4 - Capstone Project
  • In this final capstone project, you will apply everything you have learned to take on a big data processing challenge.

    • Course 10: Microsoft Professional Capstone : Big Data
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Free of Charge

Introduction to Big Data

Course 1

Get Started with Big Data

Introduction to Big Data

Microsoft DAT229x
Free of Charge
Microsoft
Open edX
90 days
Analyzing and Visualizing Data with Excel

Course 2

Analyze and Visualize Data (choose one)

Analyzing and Visualizing Data with Excel

Microsoft DAT206x
Free of Charge
Microsoft
Open edX
90 days

This course is part of the Microsoft Professional Program Certificate in Big Data, Microsoft Professional Program Certificate in Data Science and Microsoft Professional Program in Data Analysis.

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.

Learn how to import data from different sources, create mashups between data sources, and prepare data for analysis. After preparing the data, find out how business calculations can be expressed using the DAX calculation engine. See how the data can be visualized and shared to the Power BI cloud service, after which it can be used in dashboards, queried using plain English sentences, and even consumed on mobile devices.

Do you feel that the contents of this course is a bit too advanced for you and you need to fill some gaps in your Excel knowledge? Do you need a better understanding of how pivot tables, pivot charts and slicers work together, and help in creating dashboards? If so, check out DAT205x: Introduction to Data Analysis using Excel.

This course is also a part of the Microsoft Excel for the Data Analyst XSeries.

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Analyzing and Visualizing Data with Power BI

Microsoft DAT207x
Free of Charge
Microsoft
Open edX
90 days

This course is part of the Microsoft Professional Program Certificate in Data Science , Microsoft Professional Program Certificate in Big Data and the Microsoft Professional Program for Data Analysis.

Power BI is quickly gaining popularity among professionals in data science as a cloud-based service that helps them easily visualize and share insights from their organizations’ data.

In this data science course, you will learn from the Power BI product team at Microsoft with a series of short, lecture-based videos, complete with demos, quizzes, and hands-on labs. You’ll walk through Power BI, end to end, starting from how to connect to and import your data, author reports using Power BI Desktop, and publish those reports to the Power BI service. Plus, learn to create dashboards and share with business users—on the web and on mobile devices.

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Developing Planet-Scale Applications in Azure Cosmos DB

Course 3

Work with NoSQL Data

Developing Planet-Scale Applications in Azure Cosmos DB

Microsoft DAT237x
Free of Charge
Microsoft
Open edX
90 days

Abstract


If you’re familiar with NoSQL in Azure and the platform’s powerful non-relational data storage options, take the next step! Join us for an in-depth look at developing NoSQL apps in super-scalable Azure Cosmos DB—the distributed, multi-model database from Microsoft that transparently replicates your data wherever your users are. Learn about its broad, global-scale features and capabilities. Then, go deeper into some of the APIs available in Azure Cosmos DB for storing different kinds of NoSQL data. We'll start with a look at general concepts, including partitioning schemes, global replications, hierarchy, security, and more, as you learn to develop document, key/value, or graph databases with Cosmos DB using a series of popular APIs and programming models. Plus, we'll work with API specifics for DocumentDB, Gremlin, MongoDB, and Tables and conclude with a look at real-world integrations, visualizations, and analyses, such as Spark Connector, Azure Search, Stream Analytics.


Prerequisites


It is recommended that you complete course DAT221x: Developing NoSQL Solutions in Azure or have equivalent knowledge. Also, you should have basic application development skills.


What you'll learn


  • Store structured data using the Tables API
  • Azure Cosmos DB core features & capabilities
  • Develop databases with the DocumentDB API
  • Build graph databases with the Gremlin API
  • Build databases using the MongoDB API
  • Integrate Cosmos DB into other database services
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Querying with Transact-SQL

Course 4

Query Relational Data

Querying with Transact-SQL

Microsoft DAT201x
Free of Charge
Microsoft
Open edX
90 days

This course is part of the Microsoft Professional Program Certificate in Data Science, Microsoft Professional Program Certificate in Big Data and Microsoft Professional Program in Data Analysis.

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.

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Delivering a Data Warehouse in the Cloud

Course 5

Create a Data Warehouse

Delivering a Data Warehouse in the Cloud

Microsoft DAT220x
Free of Charge
Microsoft
Open edX
90 days
Processing Big Data with Hadoop in Azure HDInsight

Course 6

Process Big Data at Rest

Processing Big Data with Hadoop in Azure HDInsight

Microsoft DAT202.1x
Free of Charge
Microsoft
Open edX
90 days

More and more organizations are taking on the challenge of analyzing big data. This course teaches you how to use the Hadoop technologies in Microsoft Azure HDInsight to build batch processing solutions that cleanse and reshape data for analysis. In this five-week course, you’ll learn how to use technologies like Hive, Pig, Oozie, and Sqoop with Hadoop in HDInsight; and how to work with HDInsight clusters from Windows, Linux, and Mac OSX client computers.


NOTE: To complete the hands-on elements in this course, you will require an Azure subscription and a Windows, Linux, or Mac OS X client computer. You can sign up for a free Azure trial subscription (a valid credit card is required for verification, but you will not be charged for Azure services). Note that the free trial is not available in all regions. It is possible to complete the course and earn a certificate without completing the hands-on practices.

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Implementing Real-Time Analytics with Hadoop in Azure HDInsight

Course 7

Process Big Data in Motion (choose one)

Implementing Real-Time Analytics with Hadoop in Azure HDInsight

Microsoft DAT202.2x
Free of Charge
Microsoft
Open edX
90 days

Processing Real-Time Data Streams in Azure

Microsoft DAT223.2x
Free of Charge
Microsoft
Open edX
90 days
Orchestrating Big Data with Azure Data Factory

Course 8

Orchestrate Big Data Solutions

Orchestrating Big Data with Azure Data Factory

Microsoft DAT223.3x
Free of Charge
Microsoft
Open edX
90 days
Implementing Predictive Analytics with Spark in Azure HDInsight

Course 9

Build Big Data Analysis Solutions (choose one)

Implementing Predictive Analytics with Spark in Azure HDInsight

Microsoft DAT202.3x
Free of Charge
Microsoft
Open edX
90 days

Are you ready for big data science? In this course, learn how to implement predictive analytics solutions for big data using Apache Spark in Microsoft Azure HDInsight. See how to work with Scala or Python to cleanse and transform data and build machine learning models with Spark ML (the machine learning library in Spark).


Note: To complete the hands-on elements in this course, you will require an Azure subscription and a Windows client computer. You can sign up for a free Azure trial subscription (a valid credit card is required for verification, but you will not be charged for Azure services). Note that the free trial is not available in all regions.

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Developing Big Data Solutions with Azure Machine Learning

Microsoft DAT228x
Free of Charge
Microsoft
Open edX
90 days

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.

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Analyzing Big Data with Microsoft R

Microsoft DAT213x
Free of Charge
Microsoft
Open edX
90 days
Microsoft Professional Capstone: Big Data

Course 10

Final Project - Microsoft Professional Capstone: Big Data

Microsoft Professional Capstone: Big Data

Microsoft DAT230x
Free of Charge
Microsoft
Open edX
90 days

This course is part of the 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.

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