6 Reasons Why Hadoop Will Be The Toast Of 2015
What is Hadoop? and Why Hadoop?
Hadoop is a Java-based open-source framework, which uses a distributed storage and distributed processing approach to break-down large data sets. Hadoop distributes the large blocks of data to nodes in a computer cluster, which then processes data in parallel, using Jar files sent to them by MapReduce, the programming/processing model used in Hadoop.
As Things Stand Today
Most people believe that Hadoop has been overhyped, and that it may not be ‘all that’, as industry experts had initially made it out to be. This sentiment has been further compounded by the unwillingness of enterprises to move away from legacy technologies onto something that is dynamic and allegedly, not all-encompassing. However, the need for advanced analytics has created a gap which Hadoop helps address, yielding deeper insights and predictive models working in-tandem with Big Data platforms. Enterprise software vendors like IBM, Oracle and Microsoft are already working on building analytics tools that will work natively on Hadoop.
The Road Ahead
Here’s a look at the Top 6 Hadoop predictions based on Forrester’s Hadoop predictions for 2015.
1. Enterprise adoption will scale new heights
With demand for real-time and operational analytics going up, Hadoop will begin proliferating to all levels within the Enterprise, making it the go-to data-warehousing technology for daily operations.
2. CIOs will look to develop Hadoop skills internally
The Hadoop skill shortage that has plagued enterprises so far will finally be resolved, with more CIOs realizing that their in-house java developers can effortlessly adopt this open source platform.
3. SQL will make Hadoop more accessible
SQL has been the data querying language of choice with developers for over three decades, and it is only logical for Hadoop to leverage ANSI-compliant SQL to make it more accessible to analysts and professionals who are already familiar with the query language.
4. Clusters in the Cloud will enable resource optimization
Hadoop clusters demand a lot storage capacity and network capabilities, which will result in wastage of resources during idle-time. Cloud platforms can help manage this redundancy by off-loading ad-hoc tasks from on-premise resources.
5. Hadoop will evolve into an application platform
So far Hadoop was viewed only as an analytics platform, but the pundits are predicting that this trend will soon change. Owing to the YARN management layer, comprising of platforms like Apache Spark, HBase and NoSQL, developers can now run software components natively inside Hadoop. This will mean that Hadoop will function as an application management platform, and at the same time, it will also enable enterprises to gain real-time insights and transactional analytics about their business.
6. Hadoop will be configurable within the OS
It’s being predicted that vendors like HP, Oracle, SAP, Software AG, and Tibco will help improve Hadoop distribution and that operating system vendors like Microsoft, Red Hat, VMware, and others should consider making Hadoop configurable on their OS platform, to allow each node to be configured as a Hadoop node. This could potentially result in lower per node costs, compared to the substantial sum being charged by Hadoop distribution vendors currently.
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