Remove Data Transformation Remove Events Remove IoT Remove Optimization
article thumbnail

Reference guide to build inventory management and forecasting solutions on AWS

AWS Big Data

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.

article thumbnail

Gain insights from historical location data using Amazon Location Service and AWS analytics services

AWS Big Data

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.

Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

Harnessing Streaming Data: Insights at the Speed of Life

Sisense

The world is moving faster than ever, and companies processing large amounts of rapidly changing or growing data need to evolve to keep up — especially with the growth of Internet of Things (IoT) devices all around us. Let’s look at a few ways that different industries take advantage of streaming data. Optimizing object storage.

article thumbnail

Improve power utility operational efficiency using smart sensor data and Amazon QuickSight

AWS Big Data

Different communication infrastructure types such as mesh network and cellular can be used to send load information on a pre-defined schedule or event data in real time to the backend servers residing in the utility UDN (Utility Data Network).

article thumbnail

Deep dive into the AWS ProServe Hadoop Migration Delivery Kit TCO tool

AWS Big Data

Additionally, a TCO calculator generates the TCO estimation of an optimized EMR cluster for facilitating the migration. Transform the YARN job history logs from JSON to CSV After obtaining YARN logs, you run a YARN log organizer, yarn-log-organizer.py, which is a parser to transform JSON-based logs to CSV files.

article thumbnail

Build Hybrid Data Pipelines and Enable Universal Connectivity With CDF-PC Inbound Connections

Cloudera

In the second blog of the Universal Data Distribution blog series , we explored how Cloudera DataFlow for the Public Cloud (CDF-PC) can help you implement use cases like data lakehouse and data warehouse ingest, cybersecurity, and log optimization, as well as IoT and streaming data collection.

article thumbnail

7 key Microsoft Azure analytics services (plus one extra)

CIO Business Intelligence

If you can’t make sense of your business data, you’re effectively flying blind. Insights hidden in your data are essential for optimizing business operations, finetuning your customer experience, and developing new products — or new lines of business, like predictive maintenance. Azure Data Factory.

Data Lake 116