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How To Tackle 6 Big Data Challenges

KitelyTech

Working with big data is a challenge that every company needs to overcome to see long-term success in increasingly tough markets. Dealing with big data isn’t just one issue, though. It is dealing with a series of challenges relating to everything from how to acquire data to what to do with data and even data security.

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The 10 most in-demand tech jobs for 2023 — and how to hire for them

CIO

But 86% of technology managers also said that it’s challenging to find skilled professionals in software and applications development, technology process automation, and cloud architecture and operations. Companies will have to be more competitive than ever to land the right talent in these high-demand areas.

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Security for Big Data Designs: Examining best practices with security architect Eddie Garcia

CTOvision

On Tuesday, January 27, 2015 CTOvision publisher and Cognitio Corp co-founder Bob Gourley hosted an event for federal big data professionals. The breakfast event focused on security for big data designs and featured the highly regarded security architect Eddie Garcia. By Katie Kennedy. Learn More about Cloudera here.

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Data engineers vs. data scientists

O'Reilly Media - Data

It’s important to understand the differences between a data engineer and a data scientist. Misunderstanding or not knowing these differences are making teams fail or underperform with big data. I think some of these misconceptions come from the diagrams that are used to describe data scientists and data engineers.

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Bright Computing Integrated with Intel Enterprise Edition for Lustre

CTOvision

Announcing a unique solution that works for HPC, Big Data Analytics, or a hybrid environment. With this integration, system administrators can easily deploy, use and maintain Intel® Enterprise Edition for Lustre using Bright. Learn more about Bright Computing’s Integration with Intel® Enterprise Edition for Lustre here.

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Embrace grabs a new funding round amid unveiling of new mobile data intelligence software

TechCrunch

It is a natural evolution for us, and we are going to provide data for those doing the AI and ML for decision making.”. How to ensure data quality in the era of big data. That process has to be in real time and automated so that you can figure out what it is and fix it quickly, which is hard to do on mobile.

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Edge Delta raises $15M Series A to take on Splunk

TechCrunch

He acknowledges that traditional big data warehousing works quite well for business intelligence and analytics use cases. But that’s not real-time and also involves moving a lot of data from where it’s generated to a centralized warehouse. That whole model is breaking down.” ” Image Credits: Edge Delta.