In-memory architecture + streaming data = Digital Twins?
The Digital Twin is a buzzword in its prime time infancy. We take a look at what it is and how it relates to modern data architectures, examining ScaleOut's adoption and implementation and comparing with other alternatives.
Read More →In-memory computing: Where fast data meets big data
The evolution of memory technology means we may be about to witness the next wave in computing and storage paradigms. If Hadoop disrupted by making it easy to utilize pooled commodity hardware with spare compute and storage, could the next disruption come from doing the same for spare compute and memory?
Read More →How machine learning is taking on online retail fraud
Fraud is one of the biggest causes of lost revenue for online retailers. Fraugster and Riskified, two startups that operate in this space, share their insights and methods for safeguarding online retail.
Read More →Shipping to data: The case of Amazon Prime Day
Did you ever wonder how retail hallmarks like Amazon Prime Day and global shipping are connected? Freightos has the data to answer such questions, as it happens to be on a mission to disrupt the freight industry.
Read More →NBA analytics: Going data pro
For the NBA, like every other sports league, awards are important. They can generate attention, spur debate, make money, and involve fans, players, and experts, among others. Is there data science and analytics behind them — can there or should there be? We picked the NBA Most Improved Player award as an example to analyze some aspects of data-driven culture.
Read More →Spark gets automation: Analyzing code and tuning clusters in production
Spark is the hottest big data tool around, and most Hadoop users are moving towards using it in production. Problem is, programming and tuning Spark is hard. But Pepperdata and Alpine Data bring solutions to lighten the load.
Read More →Advertising data going forward: Transparency and scale
The problem with advertising data and what to do about it. Plus, the future of big data architecture, and other stories from the Ad Tech trenches
Read More →DataOps: Changing the world one organization at a time
Uncertain about the benefits of going data-driven? Not sure how to get there? Here's some advice from the people who built Facebook's data infrastructure
Read More →Planet analytics: big data, sustainability, and environmental impact
What is the relation between big data applications and sustainability? What is the net effect of improved efficiency versus increased resource consumption, who gets to measure this, and how?
Read More →Big Data versus money laundering: Machine learning, applications and regulation in finance
Could financial fraud such as the Laundromat be avoided by applying machine learning to scan through data? And if yes, why is that not happening?
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