Dynatrace

SEPTEMBER 30, 2021

You will learn how to use AWS services ranging from collection (for example, Amazon Kinesis and AWS IoT Core) to storage (for example, S3 + Glacier and DynamoDB) to processing (for example, AWS Lambda and Amazon ML) and beyond. Machine learning. The post Carving an AWS certification path appeared first on Dynatrace blog.

AWS 246

AWS Best Practices Cloud Analytics 246

All Things Distributed

DECEMBER 13, 2016

The council has deployed IoT Weather Stations in Schools across the City and is using the sensor information collated in a Data Lake to gain insights on whether the weather or pollution plays a part in learning outcomes. Take GoSquared , a UK startup that runs all its development and production processes on AWS, as an example.

AWS 155

AWS Cloud Artificial Intelligence IoT 155

All Things Distributed

JUNE 7, 2017

This is because data gets more valuable when it can be processed together with other data. At the same time, it can be valuable to process some data right at the source where it is generated. When you can't address scenarios such as these, the value of data you don't process is lost. and deployed down from the cloud.

AWS 89

AWS IoT Lambda Storage 89

All Things Distributed

JUNE 21, 2018

Use cases such as gaming, ad tech, and IoT lend themselves particularly well to the key-value data model where the access patterns require low-latency Gets/Puts for known key values. The data warehouse also persists the processed data directly into Aurora MySQL and Amazon Redshift to support both operational and analytical queries.

Database 167

Database AWS Games Latency 167

All Things Distributed

JUNE 26, 2016

Examples of continuous sensing are found in the managed cloud platform built by Rachio on AWS IoT to enable the secure interaction of its connected devices with cloud applications/other devices. In addition, Change Healthcare. Seamless ingestion of large volumes of sensed data. A workflow engine to drive business decisions.

AWS 77

AWS Cloud Healthcare Blockchain 77

All Things Distributed

OCTOBER 7, 2015

However, the data infrastructure to collect, store and process data is geared toward developers (e.g., However, the process of deriving actionable insights out of this wide variety of data sources is not easy. QuickSight is a fast, cloud native, scalable, business intelligence service for the 1/10th the cost of old-guard BI solutions.

Cloud 114

Cloud Big Data AWS Analytics 114

Enprowess

JANUARY 12, 2022

Internet of Things (IoT). Convenient Debugging : Debugging process is easy for the developers as single page application SPA offer developers tools. AI chatbots can handle complex processes and prompt answering, thereby providing seamless digital experiences with a company. Internet of Things (IoT). How does IoT work?

Blockchain 59

Blockchain IoT Development Serverless 59

ScaleOut Software

JUNE 15, 2020

When analyzing telemetry from a large population of data sources, such as a fleet of rental cars or IoT devices in “smart cities” deployments, it’s difficult if not impossible for conventional streaming analytics platforms to track the behavior of each individual data source and derive actionable information in real time. The list goes on.

Analytics 52

Analytics IoT Lambda Big Data 52

ScaleOut Software

JUNE 15, 2020

When analyzing telemetry from a large population of data sources, such as a fleet of rental cars or IoT devices in “smart cities” deployments, it’s difficult if not impossible for conventional streaming analytics platforms to track the behavior of each individual data source and derive actionable information in real time. The list goes on.

Analytics 52

Analytics IoT Lambda Big Data 52

Abhishek Tiwari

NOVEMBER 3, 2018

Unfortunately, to make it worse most of the CMS deals are managed by marketing and digital functions of the organisation, and in my own experience, these functions are often not equipped to ask hard and right questions during the CMS selection process. Decoupled CMS vs. headless CMS. Headless CMSs are a subset of decoupled CMSs.

Systems 63

Systems Cache Website Network 63

Adrian Cockcroft

NOVEMBER 18, 2024

Learn from Nasdaq, whose AI-powered environmental, social, and governance (ESG) platform uses Amazon Bedrock and AWS Lambda. However, some face challenges such as data availability, manual data collection processes, and a lack of data standardization. You must bring your laptop to participate.

AWS 98

AWS Energy Lambda Government 98