Big data is now receiving the same treatment as relational data.
Luca Canali of CERN investigates performance improvements in Apache Spark 2.0 from whole-stage code generation using flame graphs.
“Cloud” means different things to different marketers.
If you’re looking to learn data science – quickly – then you’re in luck.
The adoption of big data processing and analytics is pervasive across almost all industries.
The marketing message was all about huge scalability and the potential for big data.
What is a natural way for people to interact with technology.
Most mainstream consumers are still put off by the price and size of the printers.
There is automation. But the machine learning process is never-ending.
The funds will support SAP's creation of IoT development labs around the world and the launch of a new product line.
The new Parallels 12 does the job well.
A Buyer’s Guide from ESG Global
Benchmark general partner Bill Gurley said he’s still worried about a bubble.
Consistent quality data is cited as the number one challenge organizations face to realizing the full potential from analytics.
The results show that the Spark community is still growing fast.
Signal is favored by many in the security community because the open nature of the software allows others to review its code.
HTML5 all the way. But nor for ads. So keep those malware shields up.
For machine learning - they say their cloud products will free data scientists and developers from implementation details so they can focus on business logic.
The journey will be a balancing act for avoiding conflict with the analytics software partners that have been pillars of its ecosystem.
Apple is increasingly acquiring firms with expertise in machine learning and artificial intelligence.
You need to have motivation and be able to code and problem solve well. That's about it.
It is a transcript of a conversation between Dr. Robin Bloor and Rick Glick.
Data science has early roots in scientists efforts to understand human intelligence and create artificial intelligence.
The O’Reilly Data Show Podcast: Dean Wampler on streaming data applications and cloud computing.
Deep learning and a large public training data set called ImageNet has made an impressive amount of progress toward object recognition.
Reliable customer data is crucial for the success of any business.
The tools could have important uses beyond the realm of antiquities.
Executives and technophiles rushed to acquire big data solutions faster than you could say "Wikipedia."
Tim Cook can’t stop talking about how big an opportunity augmented reality represents.
Today’s rents are still nowhere near what landlords demanded in early 2008 before the financial crisis.
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Consensus 2016 will define what is “real” in blockchain technology and focus on how to mainstream real-world applications for consumers.