Remove Big Data Remove Dashboards Remove Data Analytics Remove Internet of Things
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10 Examples of How Big Data in Logistics Can Transform The Supply Chain

datapine

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.

Big Data 275
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5 Current Trends in Big Data for 2022 and Beyond

Smart Data Collective

The world of big data is constantly changing and evolving, and 2021 is no different. As we look ahead to 2022, there are four key trends that organizations should be aware of when it comes to big data: cloud computing, artificial intelligence, automated streaming analytics, and edge computing.

Big Data 140
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Big Data Makes Smart Buildings the Norm in the 21st Century

Smart Data Collective

You have probably heard a lot talk about the Internet of Things (IoT). It is one of the biggest trends driven by big data. Some of these tools include machine-learning optimization engines, automated analytics platforms, and dashboards. They can use the data to gather insights and spot trends.

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Big Data And Analytics Has Been Around Forever! Why Is It Still Important?

Timo Elliott

These are some quick answers to some common questions I get about Business Intelligence, Big Data, and Analytics: Big Data. It’s clear that data is one of the most important assets of the future. All of these things require data and analytics. Data analyses can improve lives.

Big Data 106
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My top learning and pondering moments at Splunk.conf22

Rocket-Powered Data Science

Here is a list of my top moments, learnings, and musings from this year’s Splunk.conf : Observability for Unified Security with AI (Artificial Intelligence) and Machine Learning on the Splunk platform empowers enterprises to operationalize data for use-case-specific functionality across shared datasets. Splunk Cloud Platform Dashboard.

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Architectural patterns for real-time analytics using Amazon Kinesis Data Streams, part 1

AWS Big Data

It aims to provide a framework to create low-latency streaming applications on the AWS Cloud using Amazon Kinesis Data Streams and AWS purpose-built data analytics services. In this post, we will review the common architectural patterns of two use cases: Time Series Data Analysis and Event Driven Microservices.

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How to Take Your Business to The Next Level with Data Intelligence

erwin

Several hospitals have also employed data intelligence tools in their services and operational processes. These hospitals are making use of dashboards that provide summary information on hospital patient trends, treatment costs, and waiting times. Apply real-time data in marketing strategies. Expanding big data.