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MOD 20775: Perform Data Engineering on Microsoft HDInsight


This five-day course will give students the ability plan and implement big data workflows on HDInsight.

Those who may be interested in this course are:

  • Data engineers
  • Data architects
  • Data scientists
  • Data developers who intend to implement big data engineering workflows on HDInsight.

After completing this course, students will be able to:

  • Deploy HDInsight Clusters
  • Authorizing Users to Access Resources
  • Loading Data into HDInsight
  • Troubleshooting HDInsight
  • Implement Batch Solutions
  • Design Batch ETL Solutions for Big Data with Spark
  • Analyze Data with Spark SQL
  • Analyze Data with Hive and Phoenix
  • Describe Stream Analytics
  • Implement Spark Streaming Using the DStream API
  • Develop Big Data Real-Time Processing Solutions with Apache Storm
  • Build Solutions that use Kafka and HBase


It is recommended that as well as professional experience, students should have:

  • Programming experience using R, and familiarity with common R packages
  • Knowledge of common statistical methods and data analysis best practices
  • Basic knowledge of the Microsoft Windows operating system and its core functionality
  • Working knowledge of relational databases


Module 1: Getting Started with HDInsight

  • 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

Module 2: Deploying HDInsight Clusters

  • 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
  • Customize HDInsight by using script actions
  • Delete an HDInsight cluster

Module 3: Authorizing Users to Access Resources

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

Lab: Authorizing Users to Access Resources

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

Module 4: Loading data into HDInsight

  • 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

Module 5: Troubleshooting HDInsight

  • Analyze HDInsight logs
  • YARN logs
  • Heap Dumps
  • Operations management suite

Lab: Troubleshooting HDInsight

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

Module 6: Implementing Batch Solutions

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

Lab: Implement Batch Solutions

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

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

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

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

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

Module 8: Analyze Data with Spark SQL

  • 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

Module 9: Analyze Data with Hive and Phoenix

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

Lab: Analyze 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

Module 10: Stream Analytics

  • 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

Module 11: Implementing Streaming Solutions with Kafka and HBase

  • 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

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

  • 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

Module 13: Create Spark Streaming Applications

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

Lab: Building a Spark Streaming Application

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


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.


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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