A non-relational database that provides real-time read/write access to large datasets, HBase is the high-performance, distributed data store built for Apache Hadoop. HBase allows storing a massive amount of data in the form of the table consisting of billions of rows and millions of columns. It allows random real-time, read/write access to Big Data. HBase is designed as a column-oriented, data-storage model, innovated after being inspired by Google Big Table.
Zeolearn Academy brings you a detailed HBase training designed specifically for Big Data developers. The HBase online training course includes HBase, NoSQL concepts, and understanding how HBase works with HDFS. The HBase certification issued by Zeolearn on successful completion of the course will be a valuable addition to your resume and will increase your employability.
Features of HBase:
- RESTful webservice with XML
- Linear and modular scalability
- Strict consistent reads and writes
- Extensible shell
- Block cache and Bloom filters for real-time queries
Here is what you will learn!
- HBase architecture and NoSQL basic concepts.
- HBase data models and its operations
- Integrating Hive and HBase
- API’s in HBase
Is this course right for you?
Any software professional who want to make a career shift to Big Data will gain benefits from this course.
- Basic understanding of Big Data
- Knowledge of core Java will be helpful
- Prior knowledge of NoSQL
|Module 1: Introduction to HBase|
|What is HBase and why to use it?||00:00:00|
|Components and Architecture of HBase||00:00:00|
|Difference between RDBMS and HBase||00:00:00|
|Introduction to HBase Tables and Shells||00:00:00|
|Module 2: NoSQL concepts|
|Introduction to NoSQL||00:00:00|
|NoSQL Databases and features||00:00:00|
|Module 3: Data Modeling in Hbase|
|Building blocks of HBase||00:00:00|
|Table and Column families of HBase||00:00:00|
|Data model in HBase||00:00:00|
|Module 4: HBase Architecture|
|Core components of HBase cluster||00:00:00|
|Reading and Writing data in HBase||00:00:00|
|Compaction and Data Flushes||00:00:00|
|Module 5: Operations in HBase|
|Primary and Advanced operations in HBase||00:00:00|
|HBase Tables and Shells||00:00:00|
|CRUD operations on Tables||00:00:00|
|Module 6: HBase API’s|
|Integration of Hive with HBase||00:00:00|
|Processing HBase data using MapReduce||00:00:00|
|Load HBase Utilities||00:00:00|
|Module 7: HBase Performance Tuning|
|Column Family and Schema Design Considerations||00:00:00|
Apache HBase is an open source Hadoop database management system that is perfect for working with huge volumes of non-relational databases. Its advantage is its reliability and its compatibility for working on top of HDFS. After completing this course, you will be conversant with the practical aspects of HBase like understanding HBase architecture and components, integration of HBase and Hive, and more advanced operations, and can excel at a career in Big Data.
Zeolearn brings you online, self-paced, mentor driven courses that not only helps professionals gain theoretical expertise but also the practical experience in a wide variety of courses including courses on Database such as MariaDB for Administrators, which is very popular. The fact that our workshops are mentor driven gives us an edge over other training institutes since you can learn from industry experts about the application and challenges of upcoming technologies. We have so far trained thousands of professionals with the skills needed to land lucrative jobs and you could be next!
On course completion, all participants have to work on a project to get hands on familiarity with the concepts learnt. Participants will be trained on HBase with full support from their respective trainer along with course materials. This project, which can also be a live industry project, will be reviewed by our instructors and industry experts. On successful completion, you will be awarded a certificate.
You will receive HBase certification in the form of a course completion certificate.
Classes are held on weekdays and weekends. You can check available schedules and choose the batch timings which are convenient for you. Demo classes will also be provided on demand.
You may be required to put in 10 to 12 hours of effort every week, including the live class, self study and assignments.
As this is an online program, you will require a windows computer with good internet connection to attend your classes. A headset with microphone is recommended. You may also attend these classes from your Smartphone or tablet.
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