In today’s society, Big Data is everything. There are so many types of data sets, data bases, and information coming from every direction. With that being said, many organizations face different challenges daily. Every business and their problems are unique to their own, which demonstrates the need for distinctive solutions for each company. That is why for Big Data, there is no “one size fits all” solution. Every problem needs to be solved and addressed differently.
Gonzalez told BNamericas, “Not all systems serve for everything”. There are many suppliers that sell different data platforms. A lot of companies have built POCs and small deployments with Hadoop, an open source framework for distributed processing across clusters of computers. Businesses try to obtain systems that are able to solve all problems, from data analysis to risk management, however, there are other systems that are able to do a better job for a certain task than others. For example, Hadoop cannot help certain problems that another system could solve.
As seen in figure 1., Hadoop (top left) is in the big data ecosystem, but there are so many other platforms available.
Cloud computing has become a big part of Big Data, helping businesses all over. Businesses usually sought after IaaS (Infrastructure-as-a-Service) or Paas (Platform-as-a-Service) as the best option for big data. However, there are more distinct and specific platforms that are emerging, such as big-data-as-a-service, or Hadoop-as-a-Service, or even database-as-a-service. These more precise platforms are able to solve some problems a lot better than the “one size fits all” platforms.
Instead of being limited to proprietary tools and technology, businesses can provide a better way to come up with the right design for an enterprise system by combining different pieces of technology and platforms. Apache’s Hadoop, MongoDB, Cassandra, and others usually have the same starting capabilities, but their distinct sophisticated features distinguish them for their purpose.
Business should take actions that draw them closer to their goal. Every business has different needs and uses, which is why it is important to pay close attention to every detail. Whether the business needs more storage, more processing power, or other features, various applications and platforms assist those needs. Overall, it is important to consider all choices when deciding what to use for a business. Thus, there are no longer “one size fits all” platforms that can help with every problem. Big Data has become more complex, which leads to more complex problems, ultimately leading to more complex solutions.
Dearing, George. “Big Data Deployment: It’s Never “One Size Fits All”.” Big Data Deployment: It’s Never “One Size Fits All”. Ricoh, n.d. Web. 07 Aug. 2017.
Molinari, Christian. “No One Size Fits All Strategy for Big Data, Says IBM.” BNamericas. N.p., 09 Oct. 2012. Web. 07 Aug. 2017.