Hadoop as a Service – Made in Germany
To take advantage of big data, you need to have enough space to store huge volumes of data. But there is more to big data than just storage. That is just the first step. To benefit from faster processes and decision-making, better understanding of customers and remarkable increases in productivity, you need to do more than gather and store data. The real key to success is the analysis of the data. But what is the best solution for you? Perhaps Hadoop from the cloud offered by T-Systems and Cloudera?
Those with ample budget resources can afford to have several Hadoop clusters in their data center. But many business enterprises need to keep costs under control while still maintaining high levels of transparency, and they are not in a position to procure expensive know-how – cloud-based solutions are the best choice for these enterprises. This is especially true when it comes to big data.
Classic Hadoop service with our partner Cloudera
T-Systems, in collaboration with its software partner Cloudera, has just the right solution: Hadoop as a Service. At the same time, one has to wonder
In addition to efficiency, quality tops the list of advantages customers will have when choosing this form of outsourcing. What’s more, today’s customers prefer to have one single point of contact with their provider – someone who can take care of any and all issues, and can explain who is collaborating in the solution and ensure that all elements and processes are based on the very latest technical, quality and security standards. The customer wants a provider that can be trusted 100 percent. With our classic Hadoop as a Service, the customer contracts with one provider, but actually gets support from two cloud experts: T-Systems takes care of consulting, implementation, overall solution management and the cloud-based infrastructure in compliance with German security standards for Cloudera’s Enterprise Big Data Service based on Hadoop.
Big Data Analytics – Everything depends on having the right partner
But how can customers achieve maximum flexibility while optimizing costs at the same time? Cloudera’s expertise in data management and T-Systems’ many years of experience in cloud-based hosting and infrastructure services ensure that customers receive outstanding scalability at reasonable cost. That may sound like marketing talk, but it really does reflect our experiences in customer projects. Comparative evaluations of the projects conducted to date all show that the T-Systems / Cloudera solution is more profitable than stand-alone solutions in the customer’s own data center.
More leads to even more
Improving efficiency becomes even more fascinating when you consider that the volume of data involved in business analytics triples every year.
That’s why big data infrastructures based on Hadoop are now growing faster than traditional hardware and software. Analysts at Pierre Audicon Consulting (PAC) estimate that the annual growth rate for Hadoop-based infrastructures and services will reach 63 percent by 2017.
The fact that more and more big data hardware is being used does not necessarily mean that the quality of analytics is rising at the same pace. When it comes to implementing big data analytics, having in-depth expertise available during the planning phase is essential. Setting up a Hadoop cluster in the data center and simply feeding it a steady diet of massive data will certainly lead to disaster. And the results delivered from poorly planned solutions will be inferior and not deliver the expected benefits.
Business enterprises that need big data analytics should carefully and actively plan their strategy and course of action in advance, making sure to examine all of the solutions currently available. Implementing big data environments requires experience, expertise and good planning, not to mention the analysis and orchestration of internal processes.