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How gaming companies can use Amazon Redshift Serverless to build scalable analytical applications faster and easier

AWS Big Data

A data hub contains data at multiple levels of granularity and is often not integrated. It differs from a data lake by offering data that is pre-validated and standardized, allowing for simpler consumption by users. Data hubs and data lakes can coexist in an organization, complementing each other.

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Waking Up The World of Big Data

Sisense

Trends Changing Big Data. Three trends we want to cover regarding the evolution of Big Data are the continued growth of IoT , the expanded array of querying techniques , and the rise of the cloud. First off, IoT, the Internet of Things. The Internet has always, technically, been on “things”.

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Migrate from Amazon Kinesis Data Analytics for SQL Applications to Amazon Kinesis Data Analytics Studio

AWS Big Data

Solution overview For our use case, we use several AWS services to stream, ingest, transform, and analyze sample automotive sensor data in real time using Kinesis Data Analytics Studio. Kinesis Data Analytics Studio allows us to create a notebook, which is a web-based development environment. Choose Next. Choose Create stack.

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Amazon Kinesis Data Streams: celebrating a decade of real-time data innovation

AWS Big Data

Ten years ago, we launched Amazon Kinesis Data Streams , the first cloud-native serverless streaming data service, to serve as the backbone for companies, to move data across system boundaries, breaking data silos. Real-time streaming data technologies are essential for digital transformation.

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Connect the Data Lifecycle: The power of data

Cloudera

To do this Manulife’s in-house data team built an Enterprise Data Lake (EDL) — a robust, enterprise-wide, data backend supporting digital connection, report automation, and AI & advanced analytics development. They wanted a holistic view of their customers, in order to provide better services.

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Creating Data Value With a Decentralized Data Strategy

CIO Business Intelligence

Now, with processing power built out at the edge and with mounting demand for real-time insights, organizations are using decentralized data strategies to drive value and realize business outcomes. billion connected Internet of Things (IoT) devices by 2025, generating almost 80 billion zettabytes of data at the edge.

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Interview with Dominic Sartorio, Senior Vice President for Products & Development, Protegrity

Corinium

And it’s become a hyper-competitive business, so enhancing customer service through data is critical for maintaining customer loyalty. And more recently, we have also seen innovation with IOT (Internet Of Things). In data-driven organizations, data is flowing.

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