Real-Time Big Data Access using HBase: Boosting Performance

Real-Time Big Data Access using HBase: Boosting Performance

Taught in English


Gain insight into a topic and learn the fundamentals

Sandeep Agarwal

Instructor: Sandeep Agarwal

Beginner level

Recommended experience

22 hours to complete
3 weeks at 7 hours a week
Flexible schedule
Learn at your own pace

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There are 3 modules in this course

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.

What's included

11 videos3 readings4 quizzes1 discussion prompt2 ungraded labs2 plugins

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.

What's included

11 videos2 readings4 quizzes3 ungraded labs1 plugin

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.

What's included

9 videos2 readings4 quizzes2 ungraded labs1 plugin


Sandeep Agarwal
1 Course116 learners

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