Text analytics is just one of several value-added features in BigInsights. Text is a widely used format. Now you can extract structured data from unstructured and semi-structured text via rules.
Question : A big data solution typically comprises these logical layers
Correct Answer : Get Lastest Questions and Answer : Explanation: Logical layers offer a way to organize your components. The layers simply provide an approach to organizing components that perform specific functions. The layers are merely logical; they do not imply that the functions that support each layer are run on separate machines or separate processes. A big data solution typically comprises these logical layers: Big data sources Data massaging and store layer Analysis layer Consumption layer
Question : Which of the layer, can do this
An image might need to be converted so it can be stored in a Hadoop Distributed File System (HDFS) store or a Relational Database Management System (RDBMS) warehouse for further
Correct Answer : Get Lastest Questions and Answer : Explanation: Big data sources: Think in terms of all of the data available for analysis, coming in from all channels. Ask the data scientists in your organization to clarify what data is required to perform the kind of analyses you need.
Data massaging and store layer: This layer is responsible for acquiring data from the data sources and, if necessary, converting it to a format that suits how the data is to be analyzed. For example, an image might need to be converted so it can be stored in an Hadoop Distributed File System (HDFS) store or a Relational Database Management System (RDBMS) warehouse for further processing. Compliance regulations and governance policies dictate the appropriate storage for different types of data.