Since Big Data has so many moving parts, you need a solution that incorporates every component of Big Data. In the back-end you need a good data warehouse. In the front-end you need robust reporting, and in the middle you need the computational power. Within the gaps you need to ability to share the data easily, produce queries, and the capability to adjust your technology as your business and new technology trends emerge.
Proprietary software at any step of this process is dangerous. Big Data is an orchestration of several moving parts, some of which you may want compatible with Open systems like Hadoop and Appache. One of the big moves Microsoft has made in Big Data, for example, has been to provide Excel with the ability to connect to Hadoop Distributed File System (HDFS) or Hadoop cluster using Open Database Connectivity (ODBC). Excel can also interface with Appache Hive, a data warehouse infrastructure built-on Hadoop that provides data query and analysis.
BigData is complex. Don’t make it harder by implementing solutions that require climbing a huge learning curve to use. This is especially important in the reporting and analytics sections. In the end, what’s the point of using BigData if you’re data’s obsolete by the time you’re able to generate reports?Big Data can provide benefits to your organization through ensuring that you have as much information as possible before making important business decisions. The wealth of data available through Big Data also enables marketing strategies to be improved and more accurately targeted. If done correctly Big Data can even help you see the future. The key is implementing a solution that has all the necessary components, including accessibility.