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Data News Roundup – Thursday, May 7th, 2020

Thanks for checking-in on this week’s edition of AtScale’s Data News Roundup. Excited to share that our team is focusing on Cloud OLAP for multidimensional enterprise analytics this month. As part of this, we will be hosting two new live webinars including one featuring a discussion between GigaOm analyst Andrew Brust and AtScale’s co-founder and Chief Strategy Officer Dave Mariani. Registration links can be found below.  

Data Virtualization & Cloud OLAP: How Can They Improve Your BI?

  • Live Webinar: May 13th 10 AM PT / 1PM ET

OLAP and Multidimensional Analysis with Excel and Google BigQuery

  • AtScale Office Hours: May 28th, 10AM PT / 1PM ET

Please read on for other news items to learn what’s happening and as always, reach out with any questions. We love hearing from you! 

The Best Big Data Companies To Work For Based On Glassdoor- May 6th, 2020

By Louis Columbus

Forbes

Forbes included AtScale in its recent article “The Best Big Data Companies To Work For Based On Glassdoor.” The piece compared companies listed to the 2020 Big Data 100 CRN and against Glassdoor reviews to see whose employees are the most likely to recommend their workplace. 

Cloudera Machine Learning MLOps suite generally available as it aims to manage models, analytics- May 6th, 2020

By: Larry Dignan 

ZDNet

Cloudera announced the general availability of its Cloudera Machine Learning MLOps suite. The company is “launching MLOps to give enterprises a streamlined way to manage machine learning throughout the lifecycle of data. MLOps puts models into production and Cloudera SDX is used for models. Cloudera’s plan is to give data scientists, machine learning engineers and operators one unified production line for models,” according to ZDNet.

IBM CEO Lays Out New Initiatives in Cloud, AI – May 5th, 2020

By Sara Castellanos and Steven Rosenbush

The Wall Street Journal 

The WSJ published a detailed recap of IBM’s new initiatives in cloud, AI. The new products being introduced aim to differentiate the company in the push to expand the use of the hybrid cloud and AI, as its CEO feels the coronavirus pandemic will ‘dramatically accelerate’ adoption in both fields.

6 key elements of a successful data preparation strategy- April 29th, 2020

By: Mary Shacklett 

Tech Republic

Tech Republic published the key elements of a successful data preparation strategy, which includes understanding of present and future business questions, data centralization, identification of future data source, defined data preparation methodology and effective data preparation tools.

 

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