Big Data
Big Data | News, how-tos, features, reviews, and videos
7 essential technologies for a modern data architecture
These key technologies are “re-platforming” the enterprise to enable faster, easier, more flexible access to large volumes of precious data
Review: Neo4j supercharges graph analytics
When it comes to tracking relationships, Neo4j is faster, more flexible, and more scalable than relational databases
Cython tutorial: How to speed up Python
How to use Cython and its Python-to-C compiler to give your Python applications a rocket boost
Get started with TensorFlow
Begin harnessing the power of Google’s open source machine learning library with InfoWorld's hands-on tutorial
Machine learning megaguide: Amazon, Microsoft, Databricks, Google, HPE, IBM
Download InfoWorld's massive roundup of Amazon, Microsoft, Databricks, Google, HPE, and IBM machine learning toolkits
What if the LOB had digital democratization
4 recommendations to set your IoT analytics strategy on the best course
Data preparation is the key to big data success
Common barriers to big data adoption, and how to adapt and overcome those challenges
Shopping for data: what’s fit for your purpose?
The data catalog (or data marketplace) makes finding and accessing data easier, another step toward data democratization
InfoWorld’s 2018 Technology of the Year Award winners
InfoWorld editors and reviewers pick the year’s best software development, cloud computing, data analytics, and machine learning tools
Public cloud megaguide: Amazon, Microsoft, Google, IBM, and Joyent compared
The top five public clouds pile on the services and options, while adding unique twists
Technology of the Year 2018: The best hardware, software, and cloud services
InfoWorld’s 2018 Technology of the Year Award winners recognize the best tools and technologies for software development, cloud computing, data analytics, and machine learning
What is big data? Everything you need to know
Analyzing lots of data is only part of what makes big data analytics different from previous data analytics. Learn what the other aspects are
Harmonizing big data with an enterprise knowledge graph
In addition to streamlining how users retrieve diverse data via automation capabilities, a knowledge graph standardizes those data according to relevant business terms and models
AI disruptions and the power of intelligent data
The combination of artificial intelligence and inductive machine learning using training data sets can bring significant impact on enterprise productivity and enhancements
Quick guide: Learn to crunch big data with R
Get started using the open source R programming language to do statistical computing and graphics on large data sets
TensorFlow review: The best deep learning library gets better
At version r1.5, Google's open source machine learning and neural network library is more capable, more mature, and easier to learn and use
Dawn of intelligent applications
The future is intelligent applications. Learn how companies are shifting from big data to intelligent application approaches
Dataops: agile infrastructure for data-driven organizations
While still emerging as an enterprise practice, dataops is increasingly driving teams to collaborate and organize in new ways to build, manage, deploy, and monitor data-intensive applications
AI: the challenge of data
While AI has been getting all the press, the elephant in the room is training data
Build an IoT analytics solution with big data tools
The Internet of things seems futuristic, but real systems are delivering real analytics value today. Here’s some real-world IoT advice from the field
In 2018, can cloud, big data, and AI stand more turmoil?
We'll see several trends emerge in 2018 whose key focus will be on making new technology easy and consumable
Julia vs. Python: Julia language rises for data science
Python has turned into a data science and machine learning mainstay, while Julia was built from the ground up to do the job
In the rush to big data, we forgot about search
In the cloud era, we need to look at search to be the glue that lets us find the data and analyze it together, no matter where it lives
The clash of big data and the cloud
Making good strategic design decisions about the locations of your data and processing is key
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