A data scientist’s approach to data analysis depends on their industry and the specific needs of the business or department they work for. Before a data scientist can find meaning in structured ...

To be sure, the Big Data and analytics needs of companies are not uniform. In fact, companies dealing with structured data need different things compared to companies managing unstructured data.

Data lakes can host binary data, such as images and video, unstructured data, such as PDF documents, and semi-structured ... (serverless) analytics job service that simplifies big data, and ...

Commonly referred to as big data, this rapid growth and storage creates opportunities for collection, processing, and analysis of structured and unstructured data. Following the 4 V’s of ...

Data modeling refers to the architecture that allows data analysis ... Big Data Models “A data model can be compared to a roadmap, an architect’s blueprint or any formal diagram that ...

Enterprises can use big data analytics tools to process structured, unstructured, or semi-structured data from multiple sources. Without these tools, big data would be impossible to manage. In ...

75 percent of structured data archiving applications will incorporate support for big data analytics, Gartner reports. There are a number of other factors that are driving the structured data ...

Structured data is often found in databases and spreadsheets, where the format allows for quick retrieval, sorting, and analysis. In structured data, the relationships between data points are well ...

Troy Segal is an editor and writer. She has 20+ years of experience covering personal finance, wealth management, and business news. David Kindness is a Certified Public Accountant (CPA) and an ...

Forbes contributors publish independent expert analyses and insights. I write about how data & data-driven marketing are changing business. This article is more than 10 years old. Big data is new ...