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MOD 20776: Engineering Data with Microsoft Cloud Services

Description

During this five-day instructor-led course, students will learn how to process Big Data using Azure tools and services including Azure Stream Analytics, Azure Data Lake, Azure SQL Data Warehouse and Azure Data Factory. ow to include custom functions, and integrate Python and R Is also covered in this course. 

Data engineers, IT professionals, developers, and information workers; who plan to implement big data engineering workflows on Azure are the focused individuals for this course.
 

Upon completion of this course, students will be able to:

  • Describe common architectures for processing big data using Azure tools and services
  • Describe how to use Azure Stream Analytics to design and implement stream processing over large-scale data
  • Describe how to include custom functions and incorporate machine learning activities into an Azure Stream Analytics job
  • Describe how to use Azure Data Lake Store as a large-scale repository of data files
  • Describe how to use Azure Data Lake Analytics to examine and process data held in Azure Data Lake Store
  • Describe how to create and deploy custom functions and operations, integrate with Python and R, and protect and optimize jobs
  • Describe how to use Azure SQL Data Warehouse to create a repository that can support large-scale analytical processing over data at rest
  • Describe how to use Azure SQL Data Warehouse to perform analytical processing, how to maintain performance, and how to protect the data
  • Describe how to use Azure Data Factory to import, transform, and transfer data between repositories and services
  • 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

 

 

Prerequisites

In addition to their professional experience,  it is recommended that students attending this course have:  

  • A good understanding of Azure data services
  • A basic knowledge of the Microsoft Windows operating system and its core functionality
  • A good knowledge of relational databases

Curriculum

Module 1: Architectures for Big Data Engineering with Azure
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


Module 2: Processing Event Streams using Azure Stream Analytics
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


Module 3: Performing custom processing in Azure Stream Analytics
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


Module 4: Managing Big Data in Azure Data Lake Store
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


Module 5: Processing Big Data using Azure Data Lake Analytics
Lessons

  • Introduction to Azure Data Lake Analytics
  • Analyzing 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


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

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

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

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


Module 7: Implementing Azure SQL Data Warehouse
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.


Module 8: Performing Analytics with Azure SQL Data Warehouse
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 analyzing threats


Module 9: Automating the Data Flow with Azure Data Factory
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

What's included?
 

  • Authorized Courseware
  • Intensive Hands on Skills Development with an Experienced Subject Matter Expert
  • Hands on practice on real Servers and extended lab support 1.800.482.3172
  • Examination Vouchers  & Onsite Certification Testing- (excluding 1-day Adobe, 1-day MS Office and PMP Boot Camps) 
  • Academy Code of Honor: Test Pass Guarantee
  • Optional: Package for Hotel Accommodations, Lunch and Transportation

Training Formats

With several convenient training delivery methods offered, The Academy makes getting the training you need easy. Whether you prefer to learn in a classroom or an online live learning virtual environment, training videos hosted online, and private group classes hosted at your site. We offer expert instruction to individuals, government agencies, non-profits, and corporations. Our live classes, on-sites, and online training videos all feature certified instructors who teach a detailed curriculum and share their expertise and insights with trainees. No matter how you prefer to receive the training, you can count on The Academy for an engaging and effective learning experience.

Methods

Instructor Led (the best training format we offer)
Live Online Classroom – Online Instructor Led
Self-Paced Video

Speak to an Admissions Representative for complete details

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