Hadoop as a Service (HaaS)

 

 What is Hadoop as a Service (HaaS) ?

Well While world is busy in Saas,Paas or CaaS,Now new term HaaS is also gaining curiosity

Hadoop as a service (HaaS), also known as Hadoop in the cloud, is a big data analytics framework that stores and analyzes data in the cloud using Hadoop. Users do not have to invest in or install additional infrastructure on premises when using the technology, as HaaS is provided and managed by a third-party vendor.

Definition of HaaS

HaaS (commonly referred as Hadoop in the cloud), is a framework of Big Data Analytics. This framework analyzes and stores data in the cloud utilizing Hadoop. For using HaaS, there is no need to install or invest in extra infrastructures On-Premises. The technology of the HaaS is offered as well as handled by the third party. In other words, HaaS is a term, which defines virtual data analyses as well as storage in the cloud. It arises as an alternative to On-Premise Hadoop.

Features                                                         

• HaaS providers offer a variety of features and support, including:
• Hadoop framework deployment support.
• Hadoop cluster management.
• Alternative programming languages.
• Data transfer between clusters.
• Customizable and user-friendly dashboards and data manipulation.
• Security features.

Why HaaS As A Cloud Computing Solution?

Apache Hadoop as a Service when providing as a cloud computing solution is aimed at making medium and large scale data processing easier, faster, accessible and cost effective. To help a business focus on the growth perspective, the HaaS eliminates all the operational challenges that emerge while running Hadoop.

With outstanding features like unlimited scalability and on demand access to storage capacity and computing, cloud computing perfectly blends with this Big Data processing technology. More than the on-premise solutions, the Hadoop as a Service providers offer various distinct advantages as given below:-

1. Fully Integrated Big Data Software

Hadoop as a Service comes fully powered with the Hadoop ecosystem comprising Hive, Pig, MapReduce, Presto, Oozie, Spark and Sqoop. The HaaS also offers connectors for integration of data and creating data pipelines that coordinate with the working of existing data pipelines.

2. On-Demand Elastic Cluster

In accordance with the changes in the data processing requirements, the Hadoop clusters in the cloud scale up and down, thus providing more operational efficiency in comparison to static clusters deployed on-premises. Moreover, performance is improved as nodes get automatically added or removed from the clusters depending upon the size of the data.

3. Cluster Management Made Easier

Opting for cloud based HaaS offers a fully configured Hadoop cluster, thus relieving of the need to invest extra time and resources in setting up clusters, scaling infrastructure and managing nodes. 

4. Cost Economical 

One of the major reasons why Hadoop in the cloud is becoming immensely popular is its cost effectiveness. Businesses are not required to make investments in installing on site infrastructure and IT support and on-demand instances render 90 percent savings and payment has to be made only for space when used with auto-scaling clusters.