No matter your organization's size or type, data is your most valuable asset. As you continue to store and analyse customer and company data, companies must adopt a modern data architecture for a hybrid data strategy. Historically, organisations have relied on on-premises architectures to run programs or store data. Today, more organizations are looking to the cloud for deployment of data workloads.
Cloud computing enables new levels of business agility for IT, developers, and data scientists, providing a pay-as-you-go model with unlimited scalability and no hardware costs. Processing your data on cloud platforms is especially effective for ephemeral use cases when you want quick results but need to manage your costs.
Asia Pacific is at the forefront of embracing the technology. The Cloud Readiness Index 2017 from the Asia Cloud Computing Association places Hong Kong, Singapore, New Zealand and Australia above markets such as Germany, the United Kingdom and the United States, for example.
As cloud adoption grows, hybrid cloud solutions are gaining traction. IDC has predicted by the end of 2017, 60 percent of the top Asia Pacific 1,000 enterprises will have digital transformation as a key part of their strategies, underpinned by hybrid cloud architectures.
Here are some of the top reasons to leverage cloud technology for your big data processing jobs.
1. SCALE TO YOUR NEEDS WITHOUT THE HARDWARE HEADACHES
Within enterprises, the analytics demand just keeps growing, yet the hardware can take weeks to become available, slowing innovation and limiting growth. The cloud enables your data processing power to be available in real time: a simple flip of a switch and you can get to work. This gives you an overall data processing solution that scales rapidly to meet the demands of your business—whenever you need it.
2. REDUCE YOUR INNOVATION COSTS
For companies just getting started with big data, the cloud makes perfect sense. Businesses are already experiencing the value of the cloud for quick, one-time big data projects to improve their business agility and gain insight, leveraging instant access to resources without high-cost investments.
3. PAY AS YOU GO
The cloud can be ideal for running your ephemeral use cases—where you want to spin up a job, get the results, and then shut things down (and stop the spending meter). Because the cloud is flexible and scales quickly, you pay only for the resources you use, when you use them.
4. USE THE RIGHT MACHINE FOR THE JOB
With the cloud, you can easily use the right resources for the job. Cloud solutions offer users a choice of resources to provision different types of jobs, thus providing an intuitive, flexible solution to the problem of managing your variable resource requirements.
5. DRAW INSIGHTS FROM DATA WHERE IT LIVES
As businesses start using more and more devices “on the edge,” the data from these devices starts living in the cloud. Because analytics increasingly requires huge volumes of varied data, it makes sense for the processing platform to reside in the cloud as well.
6. SIMPLIFY YOUR OPERATIONS
Using the cloud, you can provision different types of data with different characteristics and configurations, freeing up the time spent managing resources to focus on higher-level concerns for the success of your business.
Moving to the cloud and adopting a hybrid data architecture can help you further tap into the data you’re collecting. As you look for the right big data solutions for your organization, keep these points in mind in order to make the most of your most valuable asset.
Kamal Brar is Vice President and General Manager of Hortonworks Asia Pacific