Remove Analytics Remove Data Processing Remove Statistics Remove Unstructured Data
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Top Cloud Data Security Statistics for 2023

Laminar Security

This widespread cloud transformation set the stage for great innovation and growth, but it has also significantly increased the associated risks and complexity of data security, especially the protection of sensitive data. The global datasphere is estimated to reach 221,000 exabytes by 2026 , 90% of which will be unstructured data.

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IBM and ESPN use AI models built with watsonx to transform fantasy football data into insight

IBM Big Data Hub

If you play fantasy football, you are no stranger to data-driven decision-making. Every week during football season, an estimated 60 million Americans pore over player statistics, point projections and trade proposals, looking for those elusive insights to guide their roster decisions and lead them to victory.

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Quantitative and Qualitative Data: A Vital Combination

Sisense

Let’s consider the differences between the two, and why they’re both important to the success of data-driven organizations. Digging into quantitative data. This is quantitative data. It’s “hard,” structured data that answers questions such as “how many?” The challenge comes when the data becomes huge and fast-changing.

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Data science vs. machine learning: What’s the difference?

IBM Big Data Hub

It uses advanced tools to look at raw data, gather a data set, process it, and develop insights to create meaning. Areas making up the data science field include mining, statistics, data analytics, data modeling, machine learning modeling and programming.

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Migrate Hive data from CDH to CDP public cloud

Cloudera

Many Cloudera customers are making the transition from being completely on-prem to cloud by either backing up their data in the cloud, or running multi-functional analytics on CDP Public cloud in AWS or Azure. The Replication Manager service facilitates both disaster recovery and data migration across different environments.

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

datapine

Visual analytics: Around three million images are uploaded to social media every single day. Currently, popular approaches include statistical methods, computational intelligence, and traditional symbolic AI. Thus, deep nets can crunch unstructured data that was previously not available for unsupervised analysis.