AWS Big Data

APRIL 11, 2023

Accurately predicting demand for products allows businesses to optimize inventory levels, minimize stockouts, and reduce holding costs. Such a solution should use the latest technologies, including Internet of Things (IoT) sensors, cloud computing, and machine learning (ML), to provide accurate, timely, and actionable data.

Forecasting 76

Forecasting Management IoT Data-driven 76

AWS Big Data

MAY 3, 2023

This post is a continuation of How SOCAR built a streaming data pipeline to process IoT data for real-time analytics and control. SOCAR has deployed in-car devices that capture data using AWS IoT Core. This data was then stored in Amazon Relational Database Service (Amazon RDS).

IoT 104

IoT Internet of Things Data Transformation Management 104

AWS Big Data

FEBRUARY 6, 2023

Additionally, a TCO calculator generates the TCO estimation of an optimized EMR cluster for facilitating the migration. For more details on how to configure and schedule the log collector, refer to the yarn-log-collector GitHub repo. For more information on how to use the YARN log organizer, refer to the yarn-log-organizer GitHub repo.

Dashboards 76

Dashboards Optimization Data Lake Cost-Benefit 76

AWS Big Data

MARCH 13, 2024

The solution consists of the following interfaces: IoT or mobile application – A mobile application or an Internet of Things (IoT) device allows the tracking of a company vehicle while it is in use and transmits its current location securely to the data ingestion layer in AWS.

Analytics 94

Analytics IoT Metadata Internet of Things 94

Jet Global

MAY 9, 2024

Data Extraction : The process of gathering data from disparate sources, each of which may have its own schema defining the structure and format of the data and making it available for processing. This can include tasks such as data ingestion, cleansing, filtering, aggregation, or standardization.

Data Lake 52

Data Lake Data Warehouse Business Intelligence Machine Learning 52

Sisense

MARCH 14, 2021

Looking at the diagram, we see that Business Intelligence (BI) is a collection of analytical methods applied to big data to surface actionable intelligence by identifying patterns in voluminous data. As we move from right to left in the diagram, from big data to BI, we notice that unstructured data transforms into structured data.

Big Data 52

Big Data IoT Data Warehouse Data-driven 52

DataRobot Blog

MARCH 10, 2022

This “revolution” stems from breakthrough advancements in artificial intelligence, robotics, and the Internet of Things (IoT). In this example, I walk through how a manufacturer could build a real-time predictive maintenance pipeline that assigns a probability of failure to IoT devices within the factory.

Manufacturing 52

Manufacturing IoT Machine Learning Forecasting 52