Big Data Data Analytics Data Visualization Real-time Data 
Data Pine
MAY 2, 2023
Table of Contents 1) Benefits Of Big Data In Logistics 2) 10 Big Data In Logistics Use Cases Big data is revolutionizing many fields of business, and logistics analytics is no exception. The complex and ever-evolving nature of logistics makes it an essential use case for big data applications.
BizAcuity
MAY 16, 2022
Cutting down latency or delay is now one of the most crucial elements of business intelligence strategy in present times. As a data analytics company, we have been observing a trend among certain large enterprises who are looking for real-time data streaming for analytics.
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Data Pine
OCTOBER 21, 2020
Big data has changed the way we manage, analyze, and leverage data across industries. One of the most notable areas where data analytics is making big changes is healthcare. In this article, we’re going to address the need for big data in healthcare and hospital big data: why and how can it help?
Astera
OCTOBER 19, 2023
While all data transformation solutions can generate flat files in CSV or similar formats, the most efficient data prep implementations will also easily integrate with your other productivity business intelligence (BI) tools. Manual export and import steps in a system can add complexity to your data pipeline.
Whizlabs
DECEMBER 16, 2020
Splunk is proprietary software that provides a web-based interface for searching, monitoring, and evaluating machine-based big data. It performs different functions, such as collecting, indexing, and correlating real-time data in a container that has searchable properties. Preparing for a Big Data interview?
Domo
MARCH 22, 2017
Over the last year, Big Data has become increasingly more important for companies of all sizes. As data has become readily available, it has created an environment of opportunity but also uncertainty, as businesses compete with greater demands for information from customers and employees alike.
Data Pine
JUNE 5, 2019
To summarize, in the context of BI, data dashboards are used for: Deep-level insight: Drilling down deeper into key aspects of your business’s daily, weekly and monthly operation to create initiatives for increased efficiency. Data being spread out amongst many databases. Lack of different data visualization types.
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