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Critical Components of Big Data Architecture for a Translation Company

Smart Data Collective

Big Data Analytics News has hailed big data as the future of the translation industry. You might use predictive analysis-based data that can help you analyse buying trends or look at how the business might perform in a range of new markets. Further, big data itself incorporates working with growing amounts of data these days.

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Tableau: 9 years a Leader in Gartner Magic Quadrant for Analytics and Business Intelligence Platforms

Tableau

In 2020, we released some of the most highly-anticipated features in Tableau, including dynamic parameters , new data modeling capabilities , multiple map layers and improved spatial support, predictive modeling functions , and Metrics. We continue to make Tableau more powerful, yet easier to use.

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Understanding earthquakes: what map visualizations teach us

Cambridge Intelligence

Each node in my data model represents an earthquake, and each is colored and sized according to its magnitude: Red for a magnitude of 7+ (classed as ‘major’) Orange for a magnitude of 6 – 6.9 Additional investigation reveals that this was the 2013 Russian Okhotsk Sea earthquake. Yellow for a magnitude of 5.5 – 5.9

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Tableau: 9 years a Leader in Gartner Magic Quadrant for Analytics and Business Intelligence Platforms

Tableau

In 2020, we released some of the most highly-anticipated features in Tableau, including dynamic parameters , new data modeling capabilities , multiple map layers and improved spatial support, predictive modeling functions , and Metrics. We continue to make Tableau more powerful, yet easier to use.

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Behind the Chat: How E-commerce Robot Assistant AliMe Works

ML Review

Since intentions determine the subsequent domain identification flow, the intention stratum is a necessary first step in initiating contextual and domain data model processes. ACM, 2013: 2333–2338. [2] The technical framework for AliMe’s intention and matching stratification 2. 2] Minghui Qiu and Feng-Lin Li.

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Exploring the most efficient blockchain technology

Dataconomy

We don’t know, but it is undoubtedly one of the oldest and most established blockchain platforms introduced in 2013. Additionally, it supports an open smart contract model that accommodates diverse data models, including account and unspent transaction output (UTXO) models.

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Containerization of Machine Learning Applications

Heartbeat

However, the emergence of the open-source Docker engine by Solomon Hykes in 2013 accelerated the adoption of the technology. Despite containerization becoming a popular concept in the software industry, they have existed in different forms dating back to Unix V7, which added chroot in 1979. What is Docker?