
In this lesson, you will get the overview of Course Objectives and Description, Target Audience and the Prerequisites for taking up this course. Further, this course is organized into five lessons. Each lesson has an associated hands on that allows you to put your learning into practice with the details on the Practice Environment used in the course.
In this lesson, you will understand about NoSQL databases, features and its types along with its pros and cons. Further, you will learn about the architecture and implementation of Hbase and Hadoop ecosystem. Also, you will get to know about the use cases, applications and Industry verticals where Hbase can be implemented. You will be able outline the difference between Hbase and HDFS.
In this practice, you will learn to download the Cloudera Quickstart image into docker, start and connect to the Cloudera using Docker. Further, explore the various utilities of Hbase by connecting to Hbase shell.
In this lesson, you will understand and recognize Hbase shell commands, types of Hbase shell commands and usage of Hbase shell usages for creating and processing the tables in Hbase.
In this practice, you will learn Hbase Commands which are useful to manage files. You will be explore on General commands, Table Management commands, Data Manipulation commands, Surgery tools, Cluster Replication commands tools and Security tools.
In this lesson, you will learn to add the role instance to the Hbase REST Proxy server instance using Cloudera manager. And further list the Admin and Client REST APIs. Additionally, you will learn to invoke the HBase REST Proxy Admin and Client APIs using Postman Tool.
In this practice, you will learn to add a role to Hbase Rest Sever, configuring the proxy URL to invoke APIs using Postman.
In this practice, you will learn to Invoke Hbase Rest proxy Admin APIs and Client APIs using Postman to create, delete and view the information regarding the namespaces and tables in the Hbase.
In this lesson, you will learn about importing the data from RDBMS to HDFS directly and RDBMS to Hbase through HDFS. Further, you will get to know how to Export, Transform and Load (ETL) using Hive, PIG and Storing Them Back in Hbase.
In this practice, you will learn how to import the data from RDBMS to Hbase and from RDBMS to HDFS using Sqoop, further learn to import the data from HDFS to Hbase.
In this practice, you will learn how to export the data from Hbase to PIG to do some transformation and storing the result back in Hbase.
In this practice, you will learn how to Import the table from the HDFS to Hbase.
In this lesson, you will understand the Performance tuning in Hbase and its techniques, Memstore and its architecture and compression and Memstore flush. Besides, you will learn about the possible configurations available in HBase to fine-tune cluster setup.
Further, you will get to know about the architectural and functional differences in RDBMS and Hbase, also comparing Hbase with Impala
If you are looking for building the skills and mastering in concepts of NoSQL databases such as HBase, then this is the course for you.
HBase is a distributed column-oriented database modelled after Google's Bigtable and written in Java and runs on top of HDFS (Hadoop Distributed File System), providing Bigtable-like capabilities for Hadoop.
In this course, you will be learning to working with the Hbase of the Hadoop Cluster, Understanding its architecture and working with Hbase. Invoking Hbase REST proxy APIs using Postman. Also learn to import the data from RDBMS and HDFS to Hbase. Further processing the data in Hbase using Hive and Pig.
Further, you will learn about setting the Cloudera environment in a Docker container using latest available and stable version of Cloudera Quickstart Image, also learn to import the data directly from RDBMS and HDFS. And further learn using the Hbase shell commands for the processing in Hbase shell, Setting up the Rest Proxy Server Instance to Invoke APIs and invoking the Hbase REST Proxy Admin and Client APIs using Postman Tool. You will also learn to import the data from RDBMS and HDFS to HBase and further exporting Processing and importing data between HBase, Hive, and Pig.
What are you waiting for?
Hurry up