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Big Data and Analytics

IBM Storage: Making Simple Easy

“Easy” or “simple” products have been mainstays in the tech industry since the launch of commercial personal computers (PCs) in the 1980s. However, while...

Measure Twice, Cut Once: Getting a Modern ERP Deployment Right

The best carpenters make the fewest chips.  ~ English proverb, c.1500sWaste not, want not. This classic cliché keeps us all on notice, that frugality...

#eWEEKchat Feb. 12: Down the Batch: New Trends in Data Orchestration

On Wednesday, Feb. 12, at 11 a.m. PST/2 p.m. EST/7 p.m. GMT, @eWEEKNews will host its 83rd monthly #eWEEKChat. The topic will be "Batch...

Startup Stellus Claims New Data Platform Drives Massive Throughput

It’s rare that a new file system of any type becomes available to the enterprise IT market. This is because so many enterprises have...

Six Data Points You Should Know about Federated Machine Learning

IT decision-makers are using artificial intelligence (AI) and machine learning (ML) in big data projects and state-of-the-art data science models to obtain business objectives...

What Your Business Can Learn from Iowa’s Epic App Failure

By now you know about the chaos caused by the Iowa Democratic Party’s decision to use a mobile app to tabulate the results of...

Google’s Acquisition of AppSheet Signifies Momentum of No-Code Movement

eWEEK has been researching and reporting on the no-code revolution for several years as enterprises realize they need to put power into the hands...

Virtual Roundtable Feb. 5: Updating Health Care, Pharma IT with Graph Database, Analytics

On Wednesday, Feb. 5, eWEEK will assist graph database maker TigerGraph in staging a live panel discussion about how new-gen technology being used to...

Top 10 Supply Chain Predictions for 2020

After weathering tumultuous tides of volatility over the past few years, 2020 is shaping up to be a better year for supply chain managers,...

Five Data Ethics Considerations for 2020

During the past two years, data theft and privacy concerns have emerged as a heavy counterweight to the benefits of big data and data...