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Reference guide to build inventory management and forecasting solutions on AWS

AWS Big Data

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.

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The Data Behind Tokyo 2020: The Evolution of the Olympic Games

Sisense

At the Information, Knowledge, and Games Learning (IKL) unit, we anticipate collecting about 1TB of data from primary sources. In fact, the IOC is currently undertaking a series of workshops in LA to really understand the different data partnerships that it needs to build in order to optimize the opportunities when LA hosts in 2028. “We’re

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Accelerate data insights with Elastic and Amazon Kinesis Data Firehose

AWS Big Data

Processing and analyzing log and Internet of Things (IoT) data can be challenging, especially when dealing with large volumes of real-time data. Elastic and Amazon Kinesis Data Firehose are two powerful tools that can help make this process easier. Partner Solutions Architect in Data and Analytics at AWS.

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Build streaming data pipelines with Amazon MSK Serverless and IAM authentication

AWS Big Data

The rising trend in today’s tech landscape is the use of streaming data and event-oriented structures. They are being applied in numerous ways, including monitoring website traffic, tracking industrial Internet of Things (IoT) devices, analyzing video game player behavior, and managing data for cutting-edge analytics systems.

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Themes and Conferences per Pacoid, Episode 9

Domino Data Lab

Having more data is generally better; however, there are subtle nuances. There’s probably more than a little confirmation bias that Big Data volume must somehow be an intrinsic virtue – otherwise why bother with all that data engineering cost to store it? Going back to execs’ slide decks, the former paper gets misquoted.