Big Data
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Introducing BigQuery ML for building predictive models with SQL
Google’s beta extension performs linear regression forecasting and binary logistic classification in the BigQuery data warehouse
Big data: enabling new approaches to IT infrastructure security
Big data technologies and advanced analytics, including AI, are promising a way to get ahead of cyber threats
3 big data platforms look beyond Hadoop
Learn how the Cloudera, Hortonworks, and MapR data platforms are evolving to meet the demands for real-time analytics and machine learning
Data lakes: Just a swamp without data governance and catalog
Most businesses’ data lakes are merely repositories of undefined data sets from multiples sources, resulting in data swamps
How to get real value from big data in the cloud
Cloud computing makes big data affordable, but few companies know how to actually take actual advantage of it
What is Julia? A fresh approach to numerical computing
A “no compromises” programming language for data scientists, Julia combines the ease of a dynamic language with the speed of a compiled language
In an age of fake news, is there really such a thing as fake data?
The pitfalls and benefits of using synthetic data to train AI algorithms
It’s time we tapped APIs for business analytics
With so much information flowing through APIs, the API management system offers a central hub for business insight
Human data is the future of information
That’s good for everyone, as it respects that data has become so important to people’s livelihood—their credit scores just as much their personalities—that it shouldn’t be treated differently than they would be treated
How will data intelligence transform the enterprise?
Traditional business methods aren’t enough to help businesses stay competitive in today’s data-driven world. Data science outperforms these outdated methods, especially in certain key areas
How Arcadia Data brings self-service BI to the data lake
The data lake is a new approach to data management that requires a new approach to analytics
Tales of eTail West, big data, and e-commerce success—or failure
The Retail Death Star (a euphemism for whoever you think it is) has such a glowing reputation for its acumen with data that other companies clamor to know how the Death Star does it. Personal experience suggests myth does not match...
Big data + AI: Context, trust, and other key secrets to success
Machine learning can supercharge data analysis and spur innovation, but it lacks the business context to make optimal decisions every time
Review: Amazon SageMaker scales deep learning
AWS machine learning service offers easy scalability for training and inference, includes a good set of algorithms, and supports any others you supply
The era of the cloud database has finally begun
Enterprises are waking up to discover that their database needs have changed dramatically—and that the old-school RDBMS is no longer the best tool
6 hidden bottlenecks in cloud data migration
From navigating cloud storage options to verifying the data post-transfer, follow these steps to avoid the hazards of cloud migration
3 requirements of modern archive for massive unstructured data
As the nature and scale of enterprise data changes, secondary storage—especially archive—becomes a huge opportunity to add value to organizational data
21 hot programming trends—and 21 going cold
Hot or not? From the web to the motherboard to the training ground, get the scoop on what’s in and what’s out in app dev
Why data democratization is crucial to your business
Data democratization will catapult companies to new heights of performance—if done right
Google Cloud tutorial: Get started with Google Cloud
From virtual machines and Kubernetes clusters to serverless functions and machine learning APIs — how to navigate Google’s cloud riches
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