In today’s business environment, many companies find their data is pushing the processing capacity of existing database systems.
幸运的是, cost-effective approaches have emerged to handle the volume, 速度, and variety of massive data.
大数据 Service Overview
澳门金沙官网’s 大数据 service offering is positioned to help you separate fact from hype. 我们的 practice capabilities include the following:
- Infrastructure Planning
- 策略 & 路线图
Interested in venturing into 大数据, but want to test the waters first? 大数据 does not need to equal big investment. We can help clients design and execute a proof-of-concept that measures the value of a larger investment.
我们的 敏捷方法 to traditional Business Intelligence transitions smoothly into building 大数据 solutions that return tangible results in an iterative fashion. By using best-practice architectural design processes, we can help clients implement solutions that solve complex problems.
数据湖s allow companies to pour data from multiple sources into one data repository as one large unstructured data set. Tools and technologies allow users to structure and examine data when needed as opposed to when stored. We can architect and implement your 数据湖, as well as help you keep it from becoming a data swamp.
我们的 detailed and disciplined approach to requirements gathering allows us to help clients venture into 大数据 in a cost-effective and measured manner. We can help companies that are putting in place new infrastructures or expanding existing 大数据 infrastructures.
策略 and 路线图
Becoming an information-driven organization is hard work, but a plan can help. By combining all aspects of Business Intelligence, 大数据, 和数据科学, we help map out the path to get you there. 服务 include strategy development, ROI分析, tool and platform strategy and selection, and implementation roadmap creation.