Hadoop As A Service (HaaS) – An Opportunity to Make Your Business Agile

The appearance of Hadoop has transformed the data landscape. With Hadoop now, it is possible to have novel or enhanced business visions from the structured, semi-structured and unstructured data sources. Further, a huge amount of data that were previously expensive to stock among the various divisions can be collected as well as analyzed in the unified place at a reasonable price. Obviously, Hadoop is becoming an ultimate platform for the Big Data Analytics process today. However, even though it offers immense advantageous, not entire enterprises are capable or ready to implementing as well as handling an effective Hadoop environment. Because of this, the requirement of Hadoop complied with the absence of expertise in handling large and parallel units has resulted in an abundance Hadoop as a Service (HaaS) supplier. HaaS suppliers offer an excellent chance for the stunned data center administration, which requires integrating Hadoop. Here in this article, we are going to discuss how HaaS offers an opportunity to make your business agility.

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.

HaaS as a Replacement for Hadoop

As we all know, Hadoop is the biggest data drive that is the undeniable significance of the marketing, business, and technological requirement outstripping the capability to process and store abundance amount of data. Hadoop involves the process of data decentralization, making a distributable, automatic storage method and automatic process method to perform analyze and storing data. Where conventional methods of storing this data change from Excel to technology NumP and there is Hadoop.

Research, Marketing, Retail, Finance and every industry, which points in the lifecycle of business, can experience the advantages of Hadoop in their Big Data requirements. However, there is a quite inconvenience – Hadoop can be expensive and in order to function perfectly, it requires a highly sophisticated as well as highly flexible environment. Provisioning for this environment can be costly.

There is a well-designed solution to this issue that is the decentralization legacy as Hadoop itself. That is deploying your business, your Hadoop, and your Big Data in the cloud. When it comes to storage and hosting in the cloud, there are countless benefits including the advantages that Hadoop offers. Choosing a Hadoop as a Service (HaaS) provider means you are ready to access their refined and efficient Hadoop APIs. The main reason for positioning HaaS is to remove all the major issues of the Hadoop in the work environment. It focuses mainly on the following things:

• Reducing the initial investment in infrastructure as well as expertise
• Lead a path to secure enhancement via dedicated scalability
• Allowing the business to use the Big Data Processing with immediately available and low-cost trails

The combination of Hadoop and cloud fits the organization requirements of any organization, which values flexibility as well as fluidity during allowing the end user strongly in control of cost, data limits, speed, and uptime. The emergence of HaaS makes the Hadoop endlessly serve in the business world. A lightweight organization is a robust organization and the HaaS is allowing all sizes of companies to manage ambitious domains of data analysis all during remaining scalable, flexible and cost-effective way.

Leading Vendors of HaaS

• Verizon – This vendor provides distribution on the apex of their cloud infrastructure.
• Amazon – This vendor offers handled Hadoop service across accessible, flexible cloud compute instances.
• IBM – This vendor offers HaaS on its global cloud infrastructure.
• Altiscale – This vendor providing a Hadoop in the Cloud.
• Qubole – This vendor offer handled on-demand Hadoop cluster, which scales up and scales down depending on the data size.

There are several other cloud vendors providing HaaS including Cask Data, MapR, Microsoft Azure, Rackspace, Pentaho, Infochimps, Mortar, Hortonworks, HP Helion, Data (Datadog), EMC, etc. HaaS vendors are supporting an organization utilize the advantages of HaaS by reducing computing budgets.

The providers of HaaS offer a wide range of support and features, including:

• Hadoop Cluster Management
• Hadoop Framework Deployment Support
• Data Transfer among Cluster
• Alternative Programming Languages
• User-friendly and Customizable Dashboards
• Data Manipulation
• Security Features

Global HaaS Market

Based on a recent research published by Allied Market Research named “Global HaaS Market (including End User, Deployment Type, Geography) – Industry Trends, Analysis, Opportunities, Share and Forecast, 2013 – 2020”, the HaaS market is predicted to touch $16.1 billion by the year 2020.

In the recent business situation, the HaaS market is limited to North America. With nearly 85 percent of the global market revenue, the Amazon Elastic Map Reduce was considered as the most protuberant service.

In the last two years, HaaS made an outstanding entrance into the market of the Big Data Analytics. The arrival of this new technology is appreciated among the SMEs and the Data Scientists. The market is now gaining popularity among traditional Hadoop users. Significantly, HaaS is predicted to offer a tough competition to the conventional On-premise Hadoop. The advent of this technology is expected to fade out the growth of the traditional Hadoop market.

The market of HaaS is increasing and the current users comprise social media companies, SaaS providers and gaming companies. Hence, it is predicted to observe a tremendous enhancement in the upcoming years, raising its horizon into the industries that use conventional Hadoop.

The following figure illustrates the current strategy of the HaaS market based on the research.

How HaaS offers Opportunity for the Growth of the Business

Raising Competition in the Environment

SMEs are still facing rigid competition in their market because of the enhancing number of medium and small-scale industries. In order to overcome this challenge, they have to handle as well as analyze Big Data technologies and power actionable visions to emerge with a customer drove marketing approach. The advent of HaaS is one among the best factors that facilitate businesses or organizations to perform the analytics process with minimum capital investment. This is the main reason that makes SMEs across the world, showing interest in enrolling the HaaS solutions. The strength of this technology is predicted to rise with the time because of enhancing awareness among the SMEs about market research regarding customer data analysis process to gain visions into market trends and consumer behavior.

Rising demand from SMEs

The Internet as well as social media has become one among the biggest Big Data sources. Increasing attractiveness of the e-commerce websites as well as increasing consumer understanding in the online discussions and social media has made the requirement to gather data from online resources as well as evaluate it to obtain business visions. SMEs are now attaining awareness regarding the prominence of consumer aided concerning things available in the current market and buying strategy. The HaaS offers the organizations a platform to evaluate raw data from a wide range of resources and attain valuable visions and knowledge, leading the path to positive as well as successful decisions. The mandate for the HaaS by SMEs would progress to enhance at the time of the forecast period with rise in a number of such companies and enhancing awareness among the available ones.

Agility and Flexibility for Businesses

Flexibility in selecting the storage space, a number of clusters, hours of operation and workload are an additional advantage to HaaS users. This supports them select a service best matched for them and invest for particular services they require. The price of the HaaS service depends on the compute and storage requirements. The scalability structures of the HaaS are a prominent aspect offering a grand to the HaaS providers compared to the conventional Hadoop. The instant operation, as well as quick accessibility features of the HaaS, brings Agility benefit in the service. Unsurprisingly, companies will begin providing flexible Hadoop solutions with the novel suppliers entering the market and increasing the demand.

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Simple For Administrator and Expressive For User

The vital basic features of the HaaS meet the requirement of the both Hadoop Administrator and Data Scientists.  Data Scientists generally want a powerful and functionally rich environment. HaaS permits them to easily execute Hadoop YARM tasks via Hive, R, Pig, Mahout and other tools.  With HaaS, these services instantly available to the Data Scientists when they log on to the service in order to start the work. This kind of service avoids the frustrating delays during deploying a cluster and loading data from the data store before beginning. Since the Data Scientist possesses a wide range of tools and choices for functioning with HaaS, there is less pressure for the System Administrators. The job of System Administrator generally involves a set of tasks related to management. With HaaS, the interfaces allow them to do those jobs effectively and effortlessly. Since the details of low-level monitoring are under the responsibility of the HaaS provider, the interface of the Administrator is simply involved is reported entire health as well as SLA-compliance regarding the service.

Hadoop is Self-Configuring

The solutions of the HaaS dynamically configure the type of nodes and the optimal number. Further, it automatically finds the tuning parameters depending on the workload type and storage needed. These enhanced environments intensely reduce administration time, reduce human error and offer results sooner when compared to customer-tuned environments.

Data-At-Rest is gathered In HDFS

With HaaS, users no need to handle data in their storage systems, which aren’t native to Hadoop or be needed to move data from and to HDFS. HDFS prove to be offering reliable and cost effective storage at scale. It is enhanced to function effectively with YARN and MapReduce-based applications. Hence, it is well applicable to interactive usage by Data Scientists and Analysts. In addition, it is compatible with a growing ecosystem of the Hadoop third party applications. The HaaS solutions provide “always-on” HDFS; hence, users can effortlessly influence these benefits.

Elasticity

The main reason for migrating from Hadoop to the HaaS is its workloads. The HaaS offers the elasticity. Moreover, business is choosing HaaS provider based on their elasticity feature. It handles the ever-changing anxieties for storage and analyzes without manual involvement. When it comes to storage part, the best HaaS expands the storage spaces automatically and contract the capacity of HDFS when the new data is entered and old data is removed. When it comes to computing side, the solution aids ad-hoc evaluation of Data Science instantly without manual intervention.

Non-stop Operations

There is no doubt that the environment of the Big Data is complex, large, parallel, and distributed systems. Obviously, such systems provide challenging functioning conditions. Such conditions include:

• The requirement to restart unsuccessful-processes of a big task to prevent restarting the whole job.
• Jobs, which demand resources and complete later, even the resources, are available.
• Deadlock occurs when one task waits for the resources, which is used by another process that can’t be released.

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The non-stop environment of the Hadoop in the cloud addresses these conditions and other issues, which are unique to the Hadoop environment.

Team Experience

The final advantage of the HaaS is the team experience behind the service. The background support of the staff offers positive experience even though the environment involves large-scale, complex as well as difficult task. The HaaS providers offer an entire range of Hadoop Service to make a dramatic enhancement of the business. HaaS is the preferred choice of the Big Data Analytics. It fulfills the requirements of both the Production Operations and Data Scientists. It supports the business gather visions by analyzing the details in Big Data. It overcomes the challenges of organizations and IT infrastructures with Hadoop. Hence, the businesses considering this technology as an opportunity to expand their functionality and agility. For more information please go through our website. 

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