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Skills and Tools Every Data Engineer Needs to Tackle Big Data

Sisense

To do that, a data engineer needs to be skilled in a variety of platforms and languages. In our never-ending quest to make BI better, we took it upon ourselves to list the skills and tools every data engineer needs to tackle the ever-growing pile of Big Data that every company faces today. Python and R. Machine Learning.

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Misleading Statistics Examples – Discover The Potential For Misuse of Statistics & Data In The Digital Age

datapine

A 2009 investigative survey by Dr. Daniele Fanelli from The University of Edinburgh found that 33.7% of scientists surveyed admitted to questionable research practices, including modifying results to improve outcomes, subjective data interpretation, withholding analytical details, and dropping observations because of gut feelings….

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IT leaders adjust budget priorities as economic outlook shifts

CIO Business Intelligence

Nearly three out of five CIOs (57%) who reported a budget increase this year cited the need for security improvements as the key reason for receiving that increase in spend, according to the State of the CIO survey. They recognize the value you provide, and IT budgets won’t be affected in the same way they were in 2009 and 2001.”.

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How to Decide Whether a SaaS Tool is Worth Purchasing?

Smart Data Collective

A Computer Economics survey reports that 60% of organizations have now integrated some SaaS solutions into their operations, with approximately 36% planning to expand their investment in the coming months. It was launched as a paid service and went on to add a freemium option in 2009, growing its user base from 85,000 to 450,000 a year.

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Emerging Trends: 4 IRM Market Insights to Aid COVID-19 Business Recovery

John Wheeler

Through evaluative capabilities including risk and control documentation/assessment, incident management, risk mitigation, key risk indicator reporting/monitoring, and risk quantification and analytics , IRM vendors address multiple market use-case domains defined by Gartner. The current crisis is operationally-centered.

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The Business Intelligence Market – What’s Old is New

In(tegrate) the Clouds

As the data visualization, big data, Hadoop, Spark and self-service hype gives way to IoT, AI and Machine Learning, I dug up an old parody post on the business intelligence market circa 2007-2009 when cloud analytics was just a disruptive idea. Thanks to The OLAP Report for lots of great market materials.

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AML: Past, Present and Future Part I

Cloudera

In 2015, it was reported that the former Malaysian Prime Minister funneled nearly 700 million dollars from 1MDB into his personal account. We also read about Michael Cohen’s alleged hush payments to a porn star, which was picked up by anti-money laundering controls and reported as suspicious to the US Treasury Department.