hadoop

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.