Remove Data Analytics Remove Data Processing Remove Internet of Things Remove Optimization
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IoT And Cloud Integration is the Future!

Smart Data Collective

From smart homes to wearables, cars to refrigerators, the Internet of Things (IoT) has successfully penetrated every facet of our lives. The market for the Internet of Things (IoT) has exploded in recent years. This instant feedback loop is crucial for IoT devices to function optimally and improve user experiences.

IoT 121
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10 Examples of How Big Data in Logistics Can Transform The Supply Chain

datapine

Table of Contents 1) Benefits Of Big Data In Logistics 2) 10 Big Data In Logistics Use Cases Big data is revolutionizing many fields of business, and logistics analytics is no exception. The complex and ever-evolving nature of logistics makes it an essential use case for big data applications.

Big Data 275
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Big? ?Data:? ?The? ?Secret? ?to? ?Starbucks’? ? Supply? ?Chain? ?Success?

Sisense

Invest in data, invest in your company. It’s no coincidence that this recent growth has come alongside a huge investment in data analytics. Becoming data-driven has always been about more than just convenience, and ‘how do we sell more product?’ Jon Francis, SVP Data Analytics, Starbucks.

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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. The ingestion approach is not in scope of this post.

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Meet the newest Data Superheros: The Sixth Annual Data Impact Awards Finalists Are…

Cloudera

Here’s what a few our judges had to say after reviewing and scoring nominations: “The nominations showed highly creative, innovative ways of using data, analytics, data science and predictive methodologies to optimize processes and to provide more positive customer experiences.

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Join a streaming data source with CDC data for real-time serverless data analytics using AWS Glue, AWS DMS, and Amazon DynamoDB

AWS Big Data

Traditional batch ingestion and processing pipelines that involve operations such as data cleaning and joining with reference data are straightforward to create and cost-efficient to maintain. You will also want to apply incremental updates with change data capture (CDC) from the source system to the destination.

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Invoke AWS Lambda functions from cross-account Amazon Kinesis Data Streams

AWS Big Data

When integrated with Lambda, it allows for serverless data processing, enabling you to analyze and react to data streams in real time without managing infrastructure. In this post, we demonstrate how you can process data ingested into a stream in one account with a Lambda function in another account.