AWS IoT Analytics features and reviews of 2020
AWS IoT Analytics IoT software empowers users with an analytics solution to analyze highly unstructured IoT data with ease.
AWS IoT Analytics IoT software goes beyond unstructured data analysis; it is a completely managed service that simplifies the running and operation of sophisticated analysis on large volumes of IoT data. This software ensures that users do not have to deal with building an IoT analytics platform. Businesses of different sizes use the AWS IoT Analytics platform to get insights to make data-backed, accurate decisions for machine learning use cases, and IoT apps.
Users use this software to analyze highly unstructured data that are difficult for standard business intelligence and analytics solutions. AWS IoT Analytics IoT software helps users clean up their IoT data from different devices before starting the analysis. Plus, this software automates the required, complicated steps for data analyses from IoT devices.
IoT data are filtered, transformed, and enriched before the software stores them in a time-series data store for analysis. Users can configure this software to collect only the data they need and apply mathematically transforms for data processing. Besides, they can use device-specific metadata like location and device type to enrich the data before storage.
Users can use this AWS IoT Analytics IoT software to analyze their data by using the in-built SQL query engine or performing complex machine learning and analytics inferences to run scheduled queries. This software offers pre-built machine learning models for common IoT use cases, which makes it easy for users to learn machine learning. Additionally, users can use their custom analysis to execute on the AWS IoT Analytics IoT software.
Users can create custom analysis on Jupyter Notebook, Matlab, and Octave. This software automates the execution of these custom analyses to the schedule of the user. AWS IoT Analytics IoT software automatically scales to support close to petabytes of IoT data. Plus, with this software, users can analyze data from several devices and develop responsive IoT applications with no hardware management.
Automobile manufacturers rely on this software to detect vehicles that need maintenance. AWS IoT Analytics IoT software helps farmers know to determine the right irrigation systems, the best time to water their crops, and efficient usage of water. Additionally, mining companies can use this software to increase the effectiveness of their ore trucks.
AWS IoT Analytics IoT software helps users to automate and operate their analytical workflows. When users provide the analysis, this software can automate the analysis execution for then using their schedule. Users can use the AWS IoT Analytics IoT software to import their custom authored code containers developed on external tools like Octave and Matlab. Besides, this software helps users generate operational insights while letting them focus on other functions.
AWS IoT Analytics IoT software empowers users with tools for machine learning. Users can apply machine learning to their IoT data hosted on Jupyter notebooks with ease. This software allows users to connect their IoT data directly to the platform for the building, executing, and training of models without needing to manage any hardware. Additionally, users can apply machine learning algorithms to the data from their devices to produce a health score for all the IoT devices in their fleet.
AWS IoT Analytics IoT software enables users to run queries on IoT data with ease. Users can run simple ad-hoc queries with the in-built SQL engine on this software. These standard SQL queries can be used by automobile manufacturers to extract data and calculate the average distance traveled by a vehicle fleet. This software offers a series of non-overlapping time windows for users to perform analysis on incremental data. Plus, users can scan only the data they need to enhance the efficiency of their data analysis.
AWS IoT Analytics IoT software offers users an optimized IoT data storage. This software stores processed IoT data in an optimized time-series data store that delivers fast response times for IoT queries. Besides, raw data is stored automatically on the AWS IoT Analytics IoT software for processing or reprocessing at a later date.
AWS IoT Analytics IoT software provides different data preparation techniques for users to prepare and process their IoT data. This software supports time-series analyses, which allows users to analyze the performance of their devices over time. Users can use the AWS IoT Analytics IoT software to understand how they use their devices, monitor sensors for prediction and reaction to environmental conditions, and continuously monitor device data for maintenance issues prediction.
This AWS IoT Analytics IoT software seamlessly integrates with the AWS IoT Core platform. This software enables the ingestion of device data gotten directly from connected devices. Users can use the AWS IoT Analytics IoT software to perform mathematical transformations on data and fill gaps in their data. This software allows users to enrich their device data from external sources such as Salesforce, HERE Maps, Amazon DynamoDB, and Weather Service. Besides, users can process data using conditional statements and enrich it with data from the AWS IoT registry.
AWS IoT Analytics IoT software offers users a scalable solution that supports up to petabytes of IoT data. This fully damaged software allows users to analyze fleets of connected devices without needing infrastructure or hardware management. The AWS IoT Analytics IoT software, data store, and compute power automatically scale as the needs of users change and grow. With this software, users will always have the right capacity for their IoT applications, and they pay for only the resources they use.
AWS IoT Analytics IoT software offers users pre-built templates that help them create predictive maintenance models with ease. Users can apply these templates to their fleet to predict events and avoid issues. Companies can build applications with this software to monitor the effectiveness of different processes. Plus, users can use the AWS IoT Analytics IoT software to develop IoT applications that can monitor processes in real-time.
AWS IoT Analytics IoT software focuses on providing IoT data analysis solutions to businesses from different industries. Users do not need to build an IoT analytics platform, as no hardware is required. This software enables users to analyze unstructured IoT data with ease.