Hadoop
Online training
In every walks of life, amount of data
produced keeps on growing and most of these data can be converted into
information useful for making decisions in any business. For large and complex
data, handling with traditional tools like RDBMS would not be possible. This is
where Big Data software comes in. These software help to capture, curate, store,
analyse and visualize data sets. An important framework that allows these
functions is Apache Hadoop. Hadoop Online training at Intellipaat.com will help
in learning several big data technologies. Using these technologies in
businesses can provide competitive edge in market place as it facilitates decision
making to improve business performance.
One of the useful technologies built
using this framework is HBase. Learning HBase would be of great help for
professionals in Java or Big Data or database professionals who want to switch
career to Big Data/ Hadoop technologies. HBase is a database management system built
over Hadoop Distributed File System (HDFS). HDFS is an important module belonging
to Hadoop framework. HDFS allows storing large cluster of data to be accessed
efficiently. HBase provides real time access to read/write stored data in the
big data database. HBase is different from Relational DBMS in that it does not
use SQL and lacks many features such as triggers, secondary indexes, advanced
query languages etc. But it can handle large cluster of data which can be
expanded easily. Applications for HBase are generally written in Java. Hence
Core Java knowledge is a prerequisite for the training.
To illustrate the use of HBase in real
world, consider sentiment analysis of Facebook or twitter users. Sentiment
analysis involves analysing online content to identify negative or positive
perception of the product. Data gets generated in these sites for every events
such as ‘like’, ‘share’, comments etc. Since an HBase can handle multiple
servers and large cluster of data unlike traditional RDBMS, it can be used to
store the stream of data obtained from these sites. Just like other DBMS, HBase
also tabulates data into rows and columns. Java Applications can be created to
access these tables using certain keywords and analyse the data as required.
Hadoop Online training for HBase at Intellipaat.com
would include Introduction to HBase, HBase Programming, HBase Architecture,
HBase DB Design and case study for implementing HBase CRUD framework. These
would help in understanding how HBase tables can be accessed or manipulated, designing
efficient schema and various aspects of HBase required for HBase professionals such
as configuration and administration of HBase tables and many more in a duration
of 12 hours.
Another useful technology is Flume,
which helps in populating data into Hadoop including HBase from client applications.
Flume is widely used now despite other similar alternatives such as Facebook’s
Scribe and Apache Kafka. Introduction to Flume, Architecture, ways to ingest
data and other topics related to Flume are covered under ‘HBase Impala flume’.
Flume can come in handy for directing any useful data streams such as
Application logs, Social media events, data collected from sensors or GPS etc.
to HBase. Learning flume would help in complementing course in HBase
technology.
