[unable to retrieve full-text content]
Typically big data is reckoned by its size, but experts also give credit to information technologies that are assisting analysts in analyzing huge clusters of unstructured data to make sense of data trends, patterns, and anomalies. Big Data is a crucial asset for Business Intelligence (BI) for industries ranging from manufacturing to banking, professional services to entertainment, including the federal government. International Data Corporation (IDC) has forecast that global spending on big data technologies will reach $260 billion by 2022.
So what technology tools are dominating the market in 2019? Below we discuss nine formidable big data analytics tools to help you amass data and reign industrial profit.
MongoDB is a flexible, principal NoSQL which is an open-source document database with cross-platform compatibility. It is popular among the users for its storage capacity and for the role it plays in MEAN software stack, .NET applications, the Java platform, and others. MongoDB stores document data in the binary form of JSON document instead of BSON type. Users also prefer MongoDB for its high scalability, obtainability, and presentation. Given the remarkability of its inbuilt structures, MongoDB is best suitable for driving decision-making and facilitating data-driven connections with its users. Its esteemed list of …
Read More on Datafloq