2018 Cloud Data Data Visualization 
Dataconomy
SEPTEMBER 4, 2023
Here are some of the key types of cloud analytics: Descriptive analytics: This type focuses on summarizing historical data to provide insights into what has happened in the past. It helps organizations understand trends, patterns, and anomalies in their data. Poor data integration can lead to inaccurate insights.
IBM Journey to AI blog
MAY 12, 2023
According to the IT Sustainability Beyond the Data Center report from the IBM Institute for Business Value, some estimates suggest that there has been a 43% absolute increase in the power capacity demand by data center operators between 2018 and 2021, and that the global data center market will grow by more than 30% between 2021 and 2027.
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phData
NOVEMBER 14, 2023
In this blog, we will focus on a single type of geospatial analysis: processing point cloud data generated from LiDAR scans to assess changes in the landscape between two points in time. LiDAR point cloud data sets can be truly massive–the data set we will showcase here contains over 100 billion points.
Mlearning.ai
JANUARY 26, 2023
EO data is not yet a commodity and neither is environmental information, which has led to a fragmented data space defined by a seemingly endless production of new tools and services that can’t interoperate and aren’t accessible by people outside of the deep tech community ( read more ). 2018, July). Remote Sensing, 12(24), 4033.
phData
MAY 25, 2023
Two of the platforms that we see emerging as a popular combination of data warehousing and business intelligence are the Snowflake Data Cloud and Power BI. Debuting in 2015, Power BI has undergone meaningful updates that have made it a leader not just in data visualization, but in the business intelligence space as well.
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