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.
Real-Time Big Data Access using HBase: Boosting Performance
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作业
15 项作业
授课语言：英语（English）
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该课程共有3个模块
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.
涵盖的内容
11个视频6篇阅读材料5个作业2个讨论话题2个非评分实验室2个插件
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.
涵盖的内容
11个视频4篇阅读材料5个作业1个讨论话题3个非评分实验室1个插件
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.
涵盖的内容
9个视频4篇阅读材料5个作业2个非评分实验室1个插件
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