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Sandeep Agarwal
In the world of big data, the significant growth in both the sheer volume and variety of data has presented significant challenges. Apache HBase has emerged as a robust and scalable solution. HBase is a powerful, distributed, and scalable NoSQL database designed to handle large amounts of data while maintaining high performance.
Read more
In the world of big data, the significant growth in both the sheer volume and variety of data has presented significant challenges. Apache HBase has emerged as a robust and scalable solution. HBase is a powerful, distributed, and scalable NoSQL database designed to handle large amounts of data while maintaining high performance.
Read more
In the world of big data, the significant growth in both the sheer volume and variety of data has presented significant challenges. Apache HBase has emerged as a robust and scalable solution. HBase is a powerful, distributed, and scalable NoSQL database designed to handle large amounts of data while maintaining high performance.
In this introductory course, you will explore the fundamental concepts of HBase and its significance in handling real-time data processing and analysis.
Topics covered in this course include:
-Fundamentals of HBase
-Schema Design in HBase
-HBase Cluster Setup, Monitoring, and Backup
-HBase Querying and Retrieval Basics
-Advanced HBase Querying Techniques
-Batch Operations and Data Manipulation
-Data Modeling for Real-Time Applications
-Deployment Strategies for Real-Time Applications
-Scalability and Availability in Real-Time Applications
This course includes video lectures, video demonstrations, as well as hands-on application in a lab environment. By the end of this course, you will be able to design efficient HBase schemas, set up and optimize HBase clusters, perform data operations, and evaluate the proper application of HBase in real-time scenarios while considering scalability and effective deployment strategies.
Register for this course and see more details by visiting:
OpenCourser.com/course/ykrcmw/real
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What's inside
Syllabus
Introduction to HBase
In this module, you will first be introduced to your instructor and the course. Then, we will delve into HBase, exploring NoSQL Databases, HDFS, HBase Architecture and components, and HBase clusters. We'll compare HBase with other big data landscapes, and discuss creating effective data modeling and schema design.
Read more
Syllabus
Introduction to HBase
In this module, you will first be introduced to your instructor and the course. Then, we will delve into HBase, exploring NoSQL Databases, HDFS, HBase Architecture and components, and HBase clusters. We'll compare HBase with other big data landscapes, and discuss creating effective data modeling and schema design.
Read more
HBase Querying and Data Access
In this module, we will discuss importing data to HBase using Sqoop, and explore querying techniques such as Scans, Filters, and Get requests, then practice constructing HBase queries in a lab environment. We will take a look at advanced querying using a Java application, and optimizing HBase performance using caching and scan optimization. Lastly, we will discuss manipulating data using batch operations for improving performance.
HBase in Real-Time Applications
In this final module, we will discuss HBase data modelling for real-time applications, delving into strategies and use cases. We will also explore deployment strategies for real-time applications, starting with best practices and applying it in a lab environment. Lastly, we will take a look at HBase scalability and availability in real-time applications, discussing limitations and techniques for analyzing performance, before practicing what you have learned.
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Explores Apache HBase, which is standard in industry
Develops skills that are highly relevant in industry
Taught by industry recognized instructors
Covers schema design and modeling strategies
Taught by a recognized instructor in the field of data science
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Save Real-Time Big Data Access using HBase: Boosting Performance to your list so you can find it easily later:
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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 Real-Time Big Data Access using HBase: Boosting Performance with these
activities:
Review Big Data Fundamentals
Show steps
Reinforce your existing knowledge of big data fundamentals, including Hadoop and Apache, to enhance your understanding of HBase.
Browse courses on
Big Data
Show steps
-
Revisit key concepts of big data, Hadoop, and Apache from previous courses or online resources.
-
Review the Hadoop Distributed File System (HDFS) and its role in big data management.
-
Familiarize yourself with Apache HBase architecture and core components.
Explore HBase Tutorial and Documentation
Show steps
Supplement your learning by exploring official HBase tutorials and documentation, gaining a deeper understanding of its concepts and functionalities.
Browse courses on
HBase
Show steps
-
Visit the Apache HBase website and access the tutorial section.
-
Follow the step-by-step guide to set up a single-node HBase cluster.
-
Refer to the HBase Reference Guide for detailed explanations of API, commands, and configuration options.
Solve HBase Querying Practice Problems
Show steps
Sharpen your HBase querying skills by practicing on a set of problems, testing your ability to retrieve data efficiently.
Browse courses on
HBase
Show steps
-
Find online resources or textbooks that provide HBase querying practice problems.
-
Attempt to solve the problems using the concepts and techniques covered in the course.
-
Review your solutions and identify areas for improvement.
Four other activities
Expand to see all activities and additional details
Show all seven activities
Attend an HBase Workshop or Meetup
Show steps
Attend local or online workshops or meetups focused on HBase, allowing you to connect with experts and gain insights beyond the course content.
Browse courses on
HBase
Show steps
-
Search for HBase workshops or meetups in your area or online.
-
Register for the event and attend the sessions.
-
Actively participate in discussions and networking opportunities.
Develop an HBase Schema Design
Show steps
Apply your understanding of HBase schema design principles by creating a schema for a real-world data model, enhancing your ability to structure and organize data effectively.
Browse courses on
HBase
Show steps
-
Identify a use case or business scenario that requires data storage in HBase.
-
Analyze the data requirements and determine the appropriate data model and table structure for HBase.
-
Design the schema, including table names, column families, and column qualifiers.
-
Validate your schema design against the use case requirements.
Build a Real-Time Application using HBase
Show steps
Integrate your knowledge of HBase into a hands-on project, developing a real-time application that utilizes HBase's capabilities, strengthening your understanding of its practical applications.
Browse courses on
HBase
Show steps
-
Define the scope and requirements of your real-time application.
-
Design the application architecture, including the integration of HBase as the data store.
-
Implement the application using appropriate programming languages and frameworks.
-
Test and deploy your application, ensuring its functionality and performance.
Contribute to the HBase Community
Show steps
Enhance your understanding of HBase and contribute to the wider community by participating in open-source projects or discussions, fostering a deeper engagement with the technology.
Browse courses on
HBase
Show steps
-
Join the Apache HBase mailing lists or forums.
-
Review existing issues or feature requests and identify areas where you can contribute.
-
Propose or implement changes, ensuring adherence to coding standards and best practices.
Review Big Data Fundamentals
Show steps
Reinforce your existing knowledge of big data fundamentals, including Hadoop and Apache, to enhance your understanding of HBase.
Browse courses on
Big Data
Show steps
Show steps
Show steps
- Revisit key concepts of big data, Hadoop, and Apache from previous courses or online resources.
- Review the Hadoop Distributed File System (HDFS) and its role in big data management.
- Familiarize yourself with Apache HBase architecture and core components.
Explore HBase Tutorial and Documentation
Show steps
Supplement your learning by exploring official HBase tutorials and documentation, gaining a deeper understanding of its concepts and functionalities.
Browse courses on
HBase
Show steps
Show steps
Show steps
- Visit the Apache HBase website and access the tutorial section.
- Follow the step-by-step guide to set up a single-node HBase cluster.
- Refer to the HBase Reference Guide for detailed explanations of API, commands, and configuration options.
Solve HBase Querying Practice Problems
Show steps
Sharpen your HBase querying skills by practicing on a set of problems, testing your ability to retrieve data efficiently.
Browse courses on
HBase
Show steps
Show steps
Show steps
- Find online resources or textbooks that provide HBase querying practice problems.
- Attempt to solve the problems using the concepts and techniques covered in the course.
- Review your solutions and identify areas for improvement.
Four other activities
Expand to see all activities and additional details
Show all seven activities
Attend an HBase Workshop or Meetup
Show steps
Attend local or online workshops or meetups focused on HBase, allowing you to connect with experts and gain insights beyond the course content.
Browse courses on
HBase
Show steps
Show steps
Show steps
- Search for HBase workshops or meetups in your area or online.
- Register for the event and attend the sessions.
- Actively participate in discussions and networking opportunities.
Develop an HBase Schema Design
Show steps
Apply your understanding of HBase schema design principles by creating a schema for a real-world data model, enhancing your ability to structure and organize data effectively.
Browse courses on
HBase
Show steps
Show steps
Show steps
- Identify a use case or business scenario that requires data storage in HBase.
- Analyze the data requirements and determine the appropriate data model and table structure for HBase.
- Design the schema, including table names, column families, and column qualifiers.
- Validate your schema design against the use case requirements.
Build a Real-Time Application using HBase
Show steps
Integrate your knowledge of HBase into a hands-on project, developing a real-time application that utilizes HBase's capabilities, strengthening your understanding of its practical applications.
Browse courses on
HBase
Show steps
Show steps
Show steps
- Define the scope and requirements of your real-time application.
- Design the application architecture, including the integration of HBase as the data store.
- Implement the application using appropriate programming languages and frameworks.
- Test and deploy your application, ensuring its functionality and performance.
Contribute to the HBase Community
Show steps
Enhance your understanding of HBase and contribute to the wider community by participating in open-source projects or discussions, fostering a deeper engagement with the technology.
Browse courses on
HBase
Show steps
Show steps
Show steps
- Join the Apache HBase mailing lists or forums.
- Review existing issues or feature requests and identify areas where you can contribute.
- Propose or implement changes, ensuring adherence to coding standards and best practices.
Career center
Learners who complete Real-Time Big Data Access using HBase: Boosting Performance will develop knowledge and skills
that may be useful to these careers:
Database Engineer
Database Engineer
Database Engineers design, implement, and manage databases. They also develop and maintain software that accesses and processes data. This course is a valuable resource for individuals who want to become Database Engineers because it provides a solid foundation in HBase, a powerful and scalable NoSQL database. The course covers everything from the basics of HBase to advanced querying techniques and data modeling for real-time applications. With this knowledge, individuals can build and manage HBase databases that can handle large amounts of data and meet the demands of real-time applications.
Big Data Analyst
Big Data Analyst
Big Data Analysts collect, analyze, and interpret large amounts of data to identify trends and patterns that can be used to improve decision-making. This course is highly relevant for Big Data Analysts because it provides a deep understanding of HBase, a key technology for handling big data. The course covers topics such as HBase schema design, cluster setup and optimization, and querying and retrieval techniques. With this knowledge, individuals can effectively analyze big data using HBase and extract valuable insights.
Data Scientist
Data Scientist
Data Scientists use their knowledge of statistics, mathematics, and computer science to extract insights from data. This course is beneficial for Data Scientists who want to work with big data, as it provides a solid foundation in HBase, a database designed to handle large amounts of data efficiently. The course covers topics such as HBase data modeling, deployment strategies, and scalability and availability, which are essential for developing and managing big data applications.
Software Engineer
Software Engineer
Software Engineers design, develop, and maintain software applications. This course is relevant for Software Engineers who want to develop real-time applications, as it provides a comprehensive understanding of HBase, a database specifically designed for handling real-time data processing and analysis. The course covers topics such as HBase querying and retrieval basics, advanced querying techniques, and data modeling for real-time applications. With this knowledge, individuals can develop efficient and scalable real-time applications.
Cloud Architect
Cloud Architect
Cloud Architects design and manage cloud-based infrastructure and applications. This course is valuable for Cloud Architects who want to use HBase in their cloud environments. The course covers topics such as HBase cluster setup and optimization, monitoring and backup, and deployment strategies for real-time applications. With this knowledge, individuals can architect and manage HBase clusters on the cloud and ensure their availability and performance.
Data Integration Developer
Data Integration Developer
Data Integration Developers design and develop data integration solutions that connect different data sources and applications. This course is helpful for Data Integration Developers who want to use HBase as a target data source or as a component in their data integration pipelines. The course covers topics such as HBase schema design, data modeling for real-time applications, and batch operations for data manipulation. With this knowledge, individuals can effectively integrate HBase into their data integration solutions.
Database Administrator
Database Administrator
Database Administrators manage and maintain databases. This course is relevant for Database Administrators who want to work with HBase, a powerful NoSQL database designed for handling big data. The course covers topics such as HBase cluster setup and optimization, monitoring and backup, and scalability and availability. With this knowledge, individuals can effectively manage HBase clusters and ensure their optimal performance and availability.
Business Intelligence Analyst
Business Intelligence Analyst
Business Intelligence Analysts use data to provide insights that support decision-making. This course is beneficial for Business Intelligence Analysts who want to analyze big data, as it provides a foundation in HBase, a database designed to handle large amounts of data efficiently. The course covers topics such as HBase querying and retrieval basics, advanced querying techniques, and data modeling for real-time applications. With this knowledge, individuals can analyze big data using HBase and extract valuable insights for business decision-making.
Software Developer
Software Developer
Software Developers design, develop, and maintain software applications. This course is useful for Software Developers who want to use HBase in their applications. The course covers topics such as HBase querying and retrieval basics, advanced querying techniques, and data modeling for real-time applications. With this knowledge, individuals can develop efficient and scalable applications that leverage HBase for real-time data processing and analysis.
Data Architect
Data Architect
Data Architects design and build data architectures for organizations. This course is beneficial for Data Architects who want to use HBase in their data architectures. The course covers topics such as HBase schema design, data modeling for real-time applications, and deployment strategies. With this knowledge, individuals can effectively design and implement data architectures that incorporate HBase for handling big data and real-time data processing.
Systems Engineer
Systems Engineer
Systems Engineers design, implement, and maintain computer systems and networks. This course is useful for Systems Engineers who want to use HBase in their systems. The course covers topics such as HBase cluster setup and optimization, monitoring and backup, and deployment strategies for real-time applications. With this knowledge, individuals can effectively integrate HBase into their systems and ensure their reliability and performance.
IT Manager
IT Manager
IT Managers plan, implement, and manage IT systems and services within an organization. This course is valuable for IT Managers who want to understand the capabilities and benefits of HBase and how it can be used within their organizations. The course covers topics such as HBase fundamentals, schema design, cluster setup and optimization, and deployment strategies for real-time applications. With this knowledge, IT Managers can make informed decisions about whether and how to adopt HBase within their organizations.
Business Analyst
Business Analyst
Business Analysts analyze business needs and develop solutions to meet those needs. This course is helpful for Business Analysts who want to understand the capabilities and benefits of HBase and how it can be used to support business decisions. The course covers topics such as HBase fundamentals, data modeling for real-time applications, and querying and retrieval techniques. With this knowledge, Business Analysts can effectively analyze data using HBase and provide valuable insights to businesses.
Product Manager
Product Manager
Product Managers plan and manage the development and release of products. This course is useful for Product Managers who want to understand the capabilities and benefits of HBase and how it can be used in their products. The course covers topics such as HBase fundamentals, data modeling for real-time applications, and deployment strategies. With this knowledge, Product Managers can make informed decisions about whether and how to incorporate HBase into their products.
Project Manager
Project Manager
Project Managers plan, execute, and control projects. This course is useful for Project Managers who want to understand the capabilities and benefits of HBase and how it can be used in their projects. The course covers topics such as HBase fundamentals, deployment strategies for real-time applications, and scalability and availability. With this knowledge, Project Managers can effectively plan and manage projects that incorporate HBase for big data and real-time data processing.
For more career information including salaries, visit:
OpenCourser.com/course/ykrcmw/real
Reading list
We've selected nine 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
Real-Time Big Data Access using HBase: Boosting Performance.
Delves into advanced concepts such as performance tuning, security, replication, and disaster recovery. It offers a comprehensive guide for designing and implementing scalable and reliable HBase applications.
Comprehensive guide to HBase, covering everything from its architecture and design to its operation and maintenance. It's a great resource for anyone who wants to learn more about HBase or use it in their own projects.
Comprehensive guide to Hadoop, the open-source framework for distributed computing. It covers everything from Hadoop's architecture and design to its operation and maintenance. It's a great resource for anyone who wants to learn more about Hadoop or use it in their own projects.
Save
Provides a deep dive into HBase administration, covering cluster setup, configuration, monitoring, and maintenance. It's a valuable resource for system administrators and engineers responsible for managing HBase clusters.
Focuses on using MapReduce to process large amounts of text data. It valuable resource for anyone who wants to learn more about text processing or use it in a project.
Focuses on using Spark to perform big data analytics tasks. It valuable resource for anyone who wants to learn more about Spark or use it in a project.
Save
Provides a comprehensive overview of open source data analysis tools, including R, Python, and Hadoop. It valuable resource for anyone who wants to learn more about data analysis or use it in a project.
Provides a comprehensive overview of database systems, including their concepts, techniques, and tools. It valuable resource for anyone who wants to learn more about database systems or use them in a project.
Focuses on using Python to perform deep learning tasks. It valuable resource for anyone who wants to learn more about deep learning or use it in a project.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/ykrcmw/real
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Effort
3 weeks of study, 6-8 hours per week.
Level
Introductory
Via
Coursera
Institution
LearnQuest
Instructor
Sandeep Agarwal
Language
English
Good to know
Explores Apache HBase, which is standard in industry
Develops skills that are highly relevant in industry
Taught by industry recognized instructors
Covers schema design and modeling strategies
Taught by a recognized instructor in the field of data science
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