Apache HBase (HBase) is the Hadoop database. It is an open-source and non-relational distributed database modeled after Google's Bigtable and written in Java. It is a distributed, scalable and a big data store. HBase is a sub-project of the Apache Hadoop project and it is used to provide real-time read and write access to your big data.
Apache HBase is used to have random, real-time read or write access to Big Data. It provides a fault-tolerant way of storing large quantities of sparse data. Apach HBase is a column-oriented database management system which runs on the top of HDFS, a main component of Apache Hadoop. It hosts very large tables on top of clusters of commodity hardware.
Apache Hbase Online Training Course Content
Introduction to Big Data & NoSQL
Big Data ecosystem
NoSQL overview
CAP theorem
When is NoSQL appropriate
Columnar storage
HBase and NoSQL
Introduction to HBase
Concepts and Design
Architecture (HMaster and Region Server)
Data integrity
HBase ecosystem
HBase Data model
Namespaces, Tables and Regions
Rows, columns, column families, versions
HBase Shell and Admin commands
HBase schema Design
Students are presented with real world use cases
Discuss / critique and learn from multiple designs
HBase Internals
Understanding HBase under the hood
Memfile / HFile / WAL
HDFS storage
Compactions
Splits
Bloom Filters
Caches
Diagnostics
HBase installation and configuration
Hardware selection
Install methods
Common configurations
HBase eco-system
Developing applications using HBase
Frameworks around HBase
Advanced concepts (co-processors)
Monitoring And Best Practices
Monitoring tools and practices
optimizing HBase
HBase in the cloud
Real world use cases of HBase
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