Remove Data Warehouse Remove Internet of Things Remove IoT Remove Unstructured Data
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Is Your Data Management Infrastructure Modern Enough for IoT?

Hurwitz & Associates

Internet-of-Things (IoT) has entered the lexicon of IT-related buzz terms in a big way over the past few years, and there is good reason for this. IoT at its foundation refers to what can literally be billions of devices spanning the globe (and beyond) that can be connected to the internet to serve a variety of purposes.

IoT 40
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Architectural patterns for real-time analytics using Amazon Kinesis Data Streams, part 1

AWS Big Data

In the subsequent post in our series, we will explore the architectural patterns in building streaming pipelines for real-time BI dashboards, contact center agent, ledger data, personalized real-time recommendation, log analytics, IoT data, Change Data Capture, and real-time marketing data.

Analytics 109
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Transforming Big Data into Actionable Intelligence

Sisense

Looking at the diagram, we see that Business Intelligence (BI) is a collection of analytical methods applied to big data to surface actionable intelligence by identifying patterns in voluminous data. As we move from right to left in the diagram, from big data to BI, we notice that unstructured data transforms into structured data.

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It’s not your data. It’s how you use it. Unlock the power of data & build foundations of a data driven organisation

CIO Business Intelligence

It also revealed that only 37 percent of organisational data being stored in cloud data warehouses, and 35 percent still in on-premises data warehouses. However, more than 99 percent of respondents said they would migrate data to the cloud over the next two years. zettabytes of data.

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Building Better Data Models to Unlock Next-Level Intelligence

Sisense

Here at Sisense, we think about this flow in five linear layers: Raw This is our data in its raw form within a data warehouse. We follow an ELT ( E xtract, L oad, T ransform) practice, as opposed to ETL, in which we opt to transform the data in the warehouse in the stages that follow.