The importance of big data tools #ĭata is the building block of any organization and is used to extract valuable information, perform detailed analyses, create opportunities, and plan new businesses milestones and visions. These tools let you dig deep into your data to find more meaningful insights and data patterns.ĭealing with such complex technology tools and data naturally requires a unique skill set, and that’s why data scientist plays a vital role in big data.

To process such large and diverse data sets, a unique set of tools, called data tools, are needed to examine, process, and extract valuable information. In the long run, data stored in Excel has limited security and compliance, very low disaster recovery rates, and no proper version control. Excel is not really a database and has a limit (65,536 rows) for storing data.ĭata analysis in Excel shows poor data integrity. Such a large amount of diverse data makes it difficult to process using traditional tools and techniques such as Excel. Data can be diverse and sensitive and requires the right tools to make it meaningful as it has unlimited potential to modernize business statistics, information and change lives.īig Data tools and Data scientists are prominent in such scenarios.

Big data tools for data analysis