Effective companies are always looking for ways to gain competitive advantage within their market space. A key way is in harnessing the analysis of consumer, internal, external and emerging data. Organizations have done a great job of capturing data in many different ways, such as social media, mechanical, electronics and the internet, which has caused the amount of data available for analysis to grow at an exponential rate.
Organizations that are accumulating massive amounts of data are now facing obstacles such as, how to cost effectively store their data, extract valuable business critical information, and load critical data into a structured environment to leverage for analytics processing. Big Data solutions allow corporations to do just that, by transforming data into actionable insights and improved performance. Destiny Corporation assists its clients in identifying opportunities for analysis, sourcing data, and applying state of the art analytics processes and predictive statistics.
Destiny Corporation will assist clients in determining which Big Data solution is the best fit for the business environment. By mapping the Business and IT requirements, Destiny can create a strategy that will benefit the Business as well as reduce IT costs.
Destiny Corporation helps to streamline the Big Data implementation by relying on years of experience to align a client’s environment with the proper vendors, solutions, capacity and performance goals, while setting the expectation of growth in the expanding nature that is Big Data. Working in conjunction with Business and IT, Destiny will map out the requirements and benefits to help grow and generate revenue with the proper architecture, and best practices, using what has been very successful with previous clients.
Some of the areas of focus include:
- Hadoop, HDFS, GPFS, BigSQL, NoSQL
- Hadoop Interfaces to Existing Systems
- MapReduce Processing
- Vendor Selection- BigInsights, Cloudera, Hortonworks, MapR
Sample Case Studies by Industry:
For more information regarding Big Data, contact us.