Cloud Computing: Breaking The Impasse In Handling Big Data With Enhanced Hadoop Capabilities
This blog explores how you can utilize enhanced Hadoop capabilities over to the cloud for cost-effective deployment, deep analytics for all users in your enterprise, opening up the benefits of big data to all.
One of the prominently upcoming technologies in the big data is Apache Hadoop, an open source software framework. Mainly used for reliable management of large volumes of data.
Designed to scale from one server to many machines with a high degree of fault tolerance, Hadoop empowers organizations to extract valuable insight from big volumes of structured, unstructured and semi-structured data.
The requirement for large upfront investments and concerns about flexibility coupled with special unusual challenges involved in examining the technology and creating Hadoop skills, often restrain organizations from adopting and deploying Hadoop across the enterprise. This also becomes obviously impractical to use Hadoop on an occasional basis for high-impact projects which do not have a requirement for continuous processing.
Such capital requirement barriers can be overcome and resolved by migrating over to Cloud Computing. It is benefiting as cloud model is paying as per the usage of the resources. It is also a good solution for short-term or occasional use assignments where an investment in a dedicated cluster is cost prohibitive.
The property of Hadoop over cloud like on-demand resource pooling, rapid elasticity, measured services, unlimited compute etc., makes cloud very popular while managing big data.
What’s so cool about the cloud?
Cloud computing is gaining momentum for the prime factors like it is one stop solution for overall IT cost savings, when comes to Infrastructure expansion and its maintenance overhead. This solution drives business to towards reduced capital expense. Cloud computing is the delivery of on-demand unlimited computing resources everything from applications to data centers over the Internet as a service. Storage, backup, security (tier 4+), virtualization, No data loss, power saving etc are root factors for its adoption so widely.
The “as-a-service” concept is simple where users can concentrate on their business needs and without bothering about maintaining, improving and caring for a complicated IT system.
Mutually beneficial for business and IT, the cloud provides:
- Elastic resources for fast extensive vertical or horizontal scaling as per demand.
- Multiple payment choices, from pay-as-you-go to hourly or monthly licenses
- Self-service access to available technology resources
Cloud and analytics: Giving new dimension to the business
Cloud is much more than just an approach to manage costs or gets services faster. It is gradually becoming an imperative path for the business growth. Cloud and big data analytics provide the significant potential to place information, generate intuitive insights and decision-making at people’s fingertips, at the appropriate time and place.
As cloud computing provides access to unlimited computing power and simple ways to process huge amounts of data, it’s also an ideal deployment model for big data analytics. Few examples where it has been successfully implemented and deployed are mentioned below:
- Insight into security anomalies
- More accurate prediction of weather patterns
- Innovative energy-saving techniques
- The discovery of life-changing medicines
- Deeper insight into customer preferences and trends
- More efficient ways to use and conserve water
- Real-time feedback on marketing campaigns
The migration toward cloud computing is also a response towards the understanding that big data and analytics should handle the more centralized role in today’s business world. It should become an engine which helps driving the business forward ahead, contributing to business continuity.
Enterprises need to transition from passive, silo “systems of record” designed and developed around discrete pieces of information to “systems of engagement,” that are more decentralized, incorporate technologies which encourage peer interactions and often leverage cloud technologies to enable those interactions.
The two systems can be distinguished and the ramifications of those differences are significant. For instance, in context to integrate systems and support improved collaboration (a central tenet of systems of engagement), an organization needs to deploy appropriate platform technologies.
Formats consist of Platform as a Service (PaaS), Software as a Service (SaaS), or Infrastructure as a Service (IaaS) solutions, and can be implemented & deployed on the public cloud, a private cloud or a hybrid model.
Empowering Hadoop via Cloud
Cloud computing empowers you to overcome the capital requirements of Hadoop. In addition, it delivers potentially significant value that is designed to address the challenges of modern enterprise IT.
Hadoop over cloud hosting with enterprise-grade technology consists of administration and integration abilities, performance management, audit history, visualization, security, and discovery tools.
Elevated performance and its usability are optimized considering a wide range of roles, including integration developers, data scientists, administrators, analysts and line-of-business contacts.
Hadoop over cloud hosting bundled with search and streaming analytics capabilities for machine data, text, social data, and Big R enable enterprise to locate actionable intuitive insights from data in the Hadoop cluster instead of placing the data around.
The combination of open source Hadoop and the value-add enterprise functions can be deployed over the cloud. It offers pre-design images and/or templates for rapid deployment of Hadoop clusters over the cloud.
The multi-facet roles of analytics over the cloud on IaaS and PaaS options are used by developers. However, business leaders will observe a significant impact too. For instance, clients implementing Hadoop on the cloud have minimized hardware and software costs, averting future expansion costs, simplified easy development, management procedures processes, and understand dramatic performance improvisation.
Hadoop for the cloud permits organisation to respond faster to changing business environments by analysing larger volumes of data more cost-effectively. It enables organisations to analyse all data in its native format to add real-world information to decision processes.
Organisations can use it to scale to petabytes of data and thousands of users with near linear processor scalability and all on a reliable and secure platform.
In this era of big data, enterprise needs solutions that allow easy and cost-effective solution to handle and unlock the value of enterprise data.