Big data analytics in Uganda enables businesses to analyze a mix of structured, semi-structured and unstructured data in search of valuable business information and insights. Big data in Uganda is now a reality: The volume, variety and velocity of data coming into your organization continue to reach unprecedented levels. This phenomenal growth means that not only must you understand big data in order to decipher the information that truly counts, but you also must understand the possibilities of big data analytics. Gandapps is here to provide you with cutting edge tools that will enable your business solve the most pressing big data challenges.
At Gandapps we offer scalable big data analytic solutions for all your workload needs.
At Gandapps we offer scalable big data computing solutions for all your workload needs.
At Gandapps we offer scalable big data analytic storage for all your workload needs.
When you are just starting to explore big data, Gandapps offers expert-level advice, crowd sourced Q&A, knowledge sharing, tutorials, webinars, workshops, meet-ups and a complete self-contained environment to test out the latest big data technologies available in Uganda.
In production, you need to maximize system availability, performance and utilization. Gandapps provides enterprise support subscription, professional services, training and education. Gandapps subscription also includes advanced analytical services for proactive recommendations to improve performance and avoid issues.
To further enhance system availability, performance and a competitive edge, Gandapps also offers advisory services, as well as premier support options, that drive towards transformational outcomes with big data and enable you to create a center of excellence within your organization.
For years Gandapps customers have evolved their analytics methods from a reactive view into a proactive approach using predictive and prescriptive analytics. Both reactive and proactive approaches are used by organizations, but let's look closely at what is best for your organization and task at hand.
Why collect and store terabytes of data if you can not analyze it in full context? Or if you have to wait hours or days to get results? With new advances in computing technology, there's no need to avoid tackling even the most challenging business problems.
