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Accomplish Agile Business Intelligence & Analytics For Your Business

datapine

Your Chance: Want to test an agile business intelligence solution? It’s necessary to say that these processes are recurrent and require continuous evolution of reports, online data visualization , dashboards, and new functionalities to adapt current processes and develop new ones. Without further ado, let’s begin.

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Is Google BigQuery The Future Of Big Data Analytics?

Smart Data Collective

This can be done through the analysis of previous product success as well as the data collected from test markets and/or social groups that may dictate what commercial offerings are best received. Ingesting, storing, processing and visualizing information are key areas of focus that BigQuery aims to assist you with.

Big Data 137
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Here’s Why Automation For Data Lakes Could Be Important

Smart Data Collective

According to Forbes in 2011, the idea of the Data Lake was already gaining traction as companies started to consider the idea of moving their data from off-site repositories to cloud-accessible online storage , a reality that was further cemented by the cheap availability of cloud storage. The Thrust for Data Lake Creation.

Data Lake 106
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How Zurich Insurance Group built a log management solution on AWS

AWS Big Data

Develop log and trace analytics solutions with interactive queries and visualize results with high adaptability and speed. Zurich has done testing with Amazon SageMaker and has plans to add this capability in the near future. Eventually, Zurich plans to use ML plugins such as anomaly detection to enhance analysis.

Insurance 130
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Further Exploration #13: 3D Treemap Spheres and Cylinders

The Data Visualisation Catalogue

This visualisation was created in 2011 by Hans-Jörg Schulz, Steffen Hadlak and Heidrun Schumann in their paper The Design Space of Implicit Hierarchy Visualization: A Survey (p. Source: The Design Space of Implicit Hierarchy Visualization: A Survey, p. Source: The Design Space of Implicit Hierarchy Visualization: A Survey, p.

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A blazingly fast database in a data-driven world

IBM Big Data Hub

We founded MemSQL (the original name of SingleStore) in 2011. Around 2011, we worked with a hot gaming company with a real-time analytics use case to understand what their users were doing in the moment to optimize the gaming experience by monitoring how users interacted with the game.

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Build efficient, cross-Regional, I/O-intensive workloads with Dask on AWS

AWS Big Data

Dataset Variables Disk Size Xarray Dataset Size Region ERA5 2011–2020 (120 netcdf files) 53.5GB 364.1 ERA5 ( historic_temp_regridded ) us-east-1 1512 711 427 202 Difference ( propogated pool ) us-west-2 and us-east-1 1527 906 469 251 The following graph visualizes the performance and scale.