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HDInsight Deep Dive

Storm, HBase, and Hive

Elton Stoneman

HDInsight is Microsoft's managed Big Data stack in the cloud. With Azure you can provision clusters running Storm, HBase, and Hive which can process thousands of events per second, store petabytes of data, and give you a SQL-like interface to query it all. In this course, we'll build out a full solution using the stack and take a deep dive into each of the technologies.

Read more

HDInsight is Microsoft's managed Big Data stack in the cloud. With Azure you can provision clusters running Storm, HBase, and Hive which can process thousands of events per second, store petabytes of data, and give you a SQL-like interface to query it all. In this course, we'll build out a full solution using the stack and take a deep dive into each of the technologies.

Storm is a distributed compute platform which you can plug into Azure Event Hubs and use to power event stream processing. You can scale Storm to read tens of thousands of events per second and build a reliable workflow so that every event is guaranteed to be processed. HBase is a No-SQL database which is easy to get started with and can store tables with billions of rows and millions of columns. It's for real-time data access and it has a REST interface so you can read and write HBase data from a .NET Storm app. Hive is a data warehouse that provides a SQL-like interface over Big Data - HBase tables, and other sources. With Hive you can join across multiple sources and run queries from PowerShell and .NET. In this course, we use all three technologies running on Microsoft Azure to build a race timing solution and dive into performance tuning, reliability, and administration.

This course is no longer available. Find something similar by browsing:
HDInsight Apache Storm Apache HBase Apache Hive Big Data Event Stream Processing NoSQL

What's inside

Syllabus

Architecting a Solution with HDInsight
Storing Race Data in HBase
HBase Deep Dive
Processing Timing Events with Storm
Read more

Traffic lights

Read about what's good
what should give you pause
and possible dealbreakers
Taught by Elton Stoneman who are recognized for their work in Microsoft Azure
Provides a comprehensive study of HDInsight
Teaches Storm, HBase, and Hive
Takes a creative approach to an otherwise established topic, field, or subject
Provides real-time access to HBase tables through REST interface
Requires proficiency with PowerShell and .NET

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Reviews summary

Comprehensive hdinsight stack deep dive

According to students, this course provides a comprehensive and practical deep dive into Microsoft's Azure HDInsight stack, focusing on Storm, HBase, and Hive. Learners found the content to be well-structured and clearly explained, making complex Big Data concepts accessible. The hands-on approach, particularly the race timing solution project, was widely praised for its utility in applying theoretical knowledge. Many highlight the instructor's deep expertise and ability to convey intricate details. While the course is highly valued for professionals seeking to enhance their Azure Big Data skills, some suggest a foundational understanding of cloud concepts is beneficial for optimal learning. Newer reviews indicate the course remains largely relevant, though some technologies evolve rapidly.
Mostly relevant; Big Data ecosystem evolves rapidly.
"While the core concepts are solid, I noticed a few minor UI changes in Azure since the course was recorded, which is expected with cloud platforms."
"The fundamental principles of Storm, HBase, and Hive are well-covered and still applicable, even if specific tools or versions have updated."
"I hope the course gets periodic updates to keep pace with the rapid changes in the Azure HDInsight ecosystem."
Best for learners with some cloud/Big Data background.
"This course is a deep dive, and while excellent, I found a basic understanding of Azure concepts helpful before starting."
"It's not for absolute beginners in Big Data; having some familiarity with databases and cloud services will improve your experience."
"I recommend this to anyone already familiar with Azure looking to specialize in its Big Data offerings."
Instructor's deep knowledge and effective teaching.
"The instructor clearly has a profound understanding of HDInsight and its components, answering questions comprehensively."
"His ability to explain intricate details and nuances of Storm and HBase was truly impressive."
"The delivery was engaging, and the instructor's expertise made the learning experience highly credible."
Complex Big Data concepts made understandable.
"The instructor did an excellent job breaking down complex topics like Storm topologies and HBase schema design into easily digestible segments."
"I really appreciated how the course demystified HiveQL and showed practical examples of querying large datasets."
"Everything was explained clearly and concisely, even the more advanced concepts of performance tuning in HDInsight."
Real-world application of technologies reinforced.
"The race timing solution project was incredibly useful, allowing me to apply Storm, HBase, and Hive in a realistic scenario."
"I found the practical demonstrations invaluable for understanding how to integrate these services on Azure."
"The hands-on coding and projects are the strongest part of the course for me, solidifying concepts through practice."

Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in HDInsight Deep Dive: Storm, HBase, and Hive with these activities:
Hadoop: The Definitive Guide
This book provides a comprehensive overview of the Hadoop ecosystem, including HDInsight, and will deepen your understanding of the underlying concepts and technologies.
View Hadoop: The Definitive Guide: Storage and... on Amazon
Show steps
  • Review chapters related to HDInsight, Storm, HBase, and Hive.
  • Highlight and annotate key concepts.
  • Summarize key points and relate them to the course materials.
Review Course Notes
This activity will help you review the concepts covered in the course, solidify your understanding, and improve your chances of success.
Browse courses on HDInsight
Show steps
  • Gather your course materials, including lecture notes, assignments, and quizzes.
  • Organize your materials into a logical order.
  • Review the materials, paying special attention to key concepts and ideas.
Glossary of Key Terms
This activity will help you reinforce your understanding of important concepts by creating a comprehensive glossary.
Show steps
  • Identify key terms and definitions from the course materials.
  • Create a list of terms and their definitions.
  • Organize the terms into categories or alphabetical order.
Five other activities
Expand to see all activities and additional details
Show all eight activities
HBase Database Management
This activity will supplement your understanding of HBase by providing practical experience in managing HBase databases.
Browse courses on HBase
Show steps
  • Follow tutorials on HBase database management.
  • Create and manage HBase tables, including schema design, data insertion, and querying.
  • Configure and optimize HBase performance.
Follow Azure HDInsight Tutorials
This activity will help you gain hands-on experience with the technologies covered in the course and reinforce your understanding.
Browse courses on HDInsight
Show steps
  • Identify Azure HDInsight tutorials that align with the course topics.
  • Complete the tutorials, following the instructions carefully.
  • Document your progress and any challenges you encounter.
Join HDInsight Study Group
This activity will provide you with an opportunity to connect with other students, share knowledge, and learn from each other's experiences.
Browse courses on HDInsight
Show steps
  • Find or create an HDInsight study group on platforms like Discord or Slack.
  • Participate in regular discussions, ask questions, and share insights.
  • Collaborate on projects or assignments.
Storm Event Processing Practice
This activity will help you solidify your understanding of Storm by working through real-world scenarios and practicing event processing techniques.
Browse courses on Storm
Show steps
  • Find or create datasets of events.
  • Create Storm topologies to process the events.
  • Monitor the topologies and analyze the results.
Create a Real-Time Data Analytics Solution
This activity will challenge you to apply the concepts and technologies learned in the course to a real-world problem, fostering deeper understanding and practical skills.
Show steps
  • Identify a business problem that involves real-time data analytics.
  • Design a solution using HDInsight technologies such as Storm, HBase, and Hive.
  • Implement and test your solution.
  • Present your solution and findings.

Career center

Learners who complete HDInsight Deep Dive: Storm, HBase, and Hive will develop knowledge and skills that may be useful to these careers:
Big Data Engineer
Big Data Engineers build and maintain the infrastructure for processing large datasets. This course may be useful for understanding the components of a big data solution implemented on the Microsoft Azure cloud platform. It covers the details of using HBase for data storage, Storm for distributed compute, and Hive for data warehousing and querying.
See salaries and explore the career path for Big Data Engineer
Big Data Analyst
Big Data Analysts analyze large datasets to uncover insights and trends. This course may be useful for getting started with querying large datasets. It covers using Hive, a data warehousing solution, to perform queries over HBase tables and other data sources. This course may be particularly interesting to analysts interested in using Microsoft Azure's cloud computing platform.
See salaries and explore the career path for Big Data Analyst
Data Engineer
Data Engineers design and maintain an organization's data infrastructure. They build out and manage data pipelines to ensure data is flowing consistently and reliably. Data Engineers may also help develop data science models and analytics solutions. This course dives into implementing an end-to-end data solution using HBase, Storm, and Hive on Microsoft Azure. It covers the concepts of data storage, processing, and querying with these big data technologies, and how the full stack can be applied to solve real-world problems.
See salaries and explore the career path for Data Engineer
Cloud Architect
Cloud Architects design and manage the cloud infrastructure of an organization. This course may be useful for gaining an understanding of the Microsoft Azure cloud platform for implementing a big data solution. It covers considerations and best practices for using HBase, Storm, and Hive for storing, processing, and querying large datasets.
See salaries and explore the career path for Cloud Architect
Data Lake Engineer
Data Lake Engineers leverage cloud computing technology to build and manage petabyte-scale repositories of unstructured data. This course may be useful for understanding data storage and processing options for data lakes. It covers specific technologies like HBase for data storage and Storm for distributed compute, and how to interact with these technologies using SQL-like Hive queries.
See salaries and explore the career path for Data Lake Engineer
Technical Architect
Technical Architects design and manage an organization's IT infrastructure. They work with business leaders to understand their needs and develop a technology strategy that supports those needs. Technical Architects may also oversee the implementation and management of big data solutions. This course may be useful for understanding how to implement a big data solution on Microsoft Azure. It covers the concepts of data storage, processing, and querying with HBase, Storm, and Hive, and how these technologies can be used to build a scalable and reliable data infrastructure.
See salaries and explore the career path for Technical Architect
Software Developer
Software Developers design, develop, and maintain software applications. They work with business leaders to understand their needs and develop software solutions that meet those needs. Software Developers may also work with data engineers and other IT professionals to implement big data solutions. This course may be useful for understanding how to develop software applications that use big data technologies. It covers the concepts of data storage, processing, and querying with HBase, Storm, and Hive, and how these technologies can be used to build scalable and reliable software applications.
See salaries and explore the career path for Software Developer
Systems Administrator
Systems Administrators manage and maintain an organization's IT infrastructure. They install, configure, and maintain servers, networks, and other IT equipment. Systems Administrators may also work with data engineers and other IT professionals to implement big data solutions. This course may be useful for understanding how to manage and maintain a big data solution on Microsoft Azure. It covers the concepts of data storage, processing, and querying with HBase, Storm, and Hive, and how these technologies can be used to build a scalable and reliable data infrastructure.
See salaries and explore the career path for Systems Administrator
Database Administrator
Database Administrators ensure that an organization's databases are running smoothly and efficiently. They configure, maintain, and optimize databases to ensure that data is stored and retrieved reliably and quickly. Database Administrators may also work with data engineers and other IT professionals to implement big data solutions. This course may be useful for understanding how to implement and manage a big data solution on Microsoft Azure. It covers the concepts of data storage, processing, and querying with HBase, Storm, and Hive, and how these technologies can be used to build a scalable and reliable data infrastructure.
See salaries and explore the career path for Database Administrator
Enterprise Architect
Enterprise Architects design and manage an organization's IT infrastructure. They work with business leaders to understand their needs and develop a technology strategy that supports those needs. Enterprise Architects may also oversee the implementation and management of big data solutions. This course may be useful for understanding how to implement a big data solution on Microsoft Azure. It covers the concepts of data storage, processing, and querying with HBase, Storm, and Hive, and how these technologies can be used to build a scalable and reliable data infrastructure.
See salaries and explore the career path for Enterprise Architect
Data Scientist
Data Scientists combine their skills in computer science, statistics, and analytics to solve business problems with data. They work closely with Data Engineers to develop machine learning infrastructure and models, and they use big data technologies to perform data analysis. This course may be useful for understanding how to implement big data solutions on Microsoft Azure with HBase, Storm, and Hive. It goes into detail about how to ingest, process, and query data with these technologies, and how to build an end-to-end data solution.
See salaries and explore the career path for Data Scientist
Data Architect
Data Architects ensure that organizations are creating a data strategy, usually based on big data, that supports business objectives. They help build out and maintain the big data technology stack, and may also develop data science and analytics solutions. This course may be useful for understanding data storage and processing solutions on Microsoft Azure. In particular, the course dives into implementing HBase, Storm, and Hive solutions, all of which are technologies commonly used by Data Architects.
See salaries and explore the career path for Data Architect
Information Security Analyst
Information Security Analysts protect an organization's data and IT systems from security threats. They develop and implement security policies and procedures, and they monitor systems for suspicious activity. Information Security Analysts may also work with data engineers and other IT professionals to implement big data solutions. This course may be useful for understanding how to secure a big data solution on Microsoft Azure. It covers the concepts of data storage, processing, and querying with HBase, Storm, and Hive, and how these technologies can be used to build a secure and compliant data infrastructure.
See salaries and explore the career path for Information Security Analyst

Reading list

We've selected 11 books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in HDInsight Deep Dive: Storm, HBase, and Hive.
Cover image
Creating the Hudson River Park
Save
Comprehensive guide to Apache Storm, a distributed real-time computation system. It covers everything from the basics of Storm to advanced topics such as performance tuning and security.
Creating the Hudson River Park: Environmental and...
Hardcover
$$
Creating the Hudson River Park: Environmental and...
Kindle Edition
$$
Cover image
Architecting Modern Data Platforms
Save
Comprehensive guide to Apache HBase, a distributed NoSQL database. It covers everything from the basics of HBase to advanced topics such as performance tuning and security.
Architecting Modern Data Platforms: A Guide to...
Paperback
$$$
Architecting Modern Data Platforms: A Guide to...
Kindle Edition
$$$
Cover image
Hadoop: The Definitive Guide
Save
Comprehensive guide to Apache Hadoop, a framework for distributed data processing. It covers everything from the basics of Hadoop to advanced topics such as performance tuning and security.
Hadoop: The Definitive Guide: Storage and Analysis...
Paperback
$$
Hadoop: The Definitive Guide
Kindle Edition
$$
Hadoop: The Definitive Guide
Paperback
$$
Hadoop: The Definitive Guide
Paperback
$$
Cover image
Principles of Database Management
Save
Provides a comprehensive overview of big data analytics, from strategic planning to enterprise integration. It covers a wide range of topics, including data management, data mining, and data visualization.
Principles of Database Management: The Practical...
Hardcover
$$$
Principles of Database Management: The Practical...
Kindle Edition
$$$
Cover image
Data Science for Business
Save
Provides a practical introduction to data science for business professionals. It covers a wide range of topics, including data mining, machine learning, and statistical modeling.
Data Science for Business: What You Need to Know...
Paperback
$$
Data Science for Business: What You Need to Know...
Kindle Edition
$$
Cover image
Deep Learning
Save
Provides a comprehensive overview of deep learning, a subfield of machine learning that has been used to achieve state-of-the-art results on a wide range of tasks, including image recognition, natural language processing, and speech recognition.
Deep Learning
Paperback
$$$
Deep Learning (Adaptive Computation and Machine...
Hardcover
$$$
Deep Learning (Adaptive Computation and Machine...
Kindle Edition
$$$
Cover image
Hands-On Machine Learning with R
Save
Provides a hands-on introduction to machine learning with R. It covers a wide range of topics, including data preprocessing, feature engineering, and model evaluation.
Hands-On Machine Learning with R (Chapman &...
Hardcover
$$$
Hands-On Machine Learning with R (Chapman &...
Kindle Edition
$$$
Cover image
An Introduction to Statistical Learning
Save
Provides a comprehensive overview of statistical learning, a subfield of machine learning that focuses on the use of statistical methods to make predictions.
An Introduction to Statistical Learning
Paperback
Check
An Introduction to Statistical Learning
Kindle Edition
Check
Cover image
The Elements of Statistical Learning
Save
Provides a comprehensive overview of statistical learning, a subfield of machine learning that focuses on the use of statistical methods to make predictions.
The Elements of Statistical Learning: Data Mining,...
Hardcover
$$$
The Elements of Statistical Learning: Data Mining,...
Hardcover
$$$
The Elements of Statistical Learning: Data Mining,...
Kindle Edition
$$$
Cover image
Machine Learning for Hackers
Save
Provides a practical introduction to machine learning for hackers. It covers a wide range of topics, including data preprocessing, feature engineering, and model evaluation.
Machine Learning for Hackers: Case Studies and...
Paperback
$$
Machine Learning for Hackers: Case Studies and...
Kindle Edition
$$
Cover image
The Molecular Basis of Cancer
Save
Provides a practical introduction to machine learning for developers. It covers a wide range of topics, including data preprocessing, feature engineering, and model evaluation.
The Molecular Basis of Cancer
Hardcover
$$$$
The Molecular Basis of Cancer: Expert Consult -...
Hardcover
$$$$
Molecular Basis of Cancer
Hardcover
$$$
The Molecular Basis of Cancer
Kindle Edition
$$$$

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Course image
Time
253 hours
Level
Intermediate
Via
Pluralsight
Instructor
Elton Stoneman
Language
English
Traffic lights
Read about what's good
what should give you pause
and possible dealbreakers
Taught by Elton Stoneman who are recognized for their work in Microsoft Azure
Provides a comprehensive study of HDInsight
Teaches Storm, HBase, and Hive
Takes a creative approach to an otherwise established topic, field, or subject
Provides real-time access to HBase tables through REST interface
Requires proficiency with PowerShell and .NET
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