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Top 10 IT & Technology Buzzwords You Won’t Be Able To Avoid In 2020

datapine

Exciting and futuristic, the concept of computer vision is based on computing devices or programs gaining the ability to extract detailed information from visual images. Visual analytics: Around three million images are uploaded to social media every single day. Internet of Things. Artificial Intelligence (AI).

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

AWS Big Data

Stream ingestion – The stream ingestion layer is responsible for ingesting data into the stream storage layer. With Kinesis Data Streams, customers can continuously capture terabytes of time series data from thousands of sources for cleaning, enrichment, storage, analysis, and visualization.

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Quantitative and Qualitative Data: A Vital Combination

Sisense

When these systems connect with external groups — customers, subscribers, shareholders, stakeholders — even more data is generated, collected, and exchanged. The result, as Sisense CEO Amir Orad wrote , is that every company is now a data company. The challenge comes when the data becomes huge and fast-changing.

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Cloudera Data Warehouse – A Partner Perspective

Cloudera

Their software is a great example of how Cloudera’s platform can be seen not only as a massively scalable data store but as a complete data warehousing platform on top of which their BI application is built. The main Arcadia Data product, Arcadia Enterprise, is a BI and visual analytics tool that leverages the power of Cloudera.

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Transforming Big Data into Actionable Intelligence

Sisense

Before we dive into the topics of big data as a service and analytics applied to same, let’s quickly clarify data analytics using an oft-used application of analytics: Visualization! 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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Building Better Data Models to Unlock Next-Level Intelligence

Sisense

Before we dive into the topics of big data as a service and analytics applied to same, let’s quickly clarify data analytics using an oft-used application of analytics: Visualization! As we move from right to left in the diagram, from big data to BI, we notice that unstructured data transforms into structured data.