Big Data
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Rakuten frees itself of Hadoop investment in two years
The U.S. arm of the Japanese e-commerce giant has moved away from Hadoop in a bid to cut hardware costs and ease the management of its estate
Julia vs. Python: Which is best 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
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
Is your data lake open enough? What to watch out for
Like yesterday’s data warehouses, today’s data lakes threaten to lock us into proprietary formats and systems that restrict innovation and raise costs
Data structures and algorithms in Java: A beginner's guide
Learn all about array and list data structures in Java, and the algorithms you can use to search and sort the data they contain
What is Apache Spark? The big data platform that crushed Hadoop
Fast, flexible, and developer-friendly, Apache Spark is the leading platform for large-scale SQL, batch processing, stream processing, and machine learning
Neo4j 4.0 targets scalability, security, and performance
Leading native graph database adds long-awaited horizontal sharding, granular security, and reactive processing
Why data-driven businesses need a data catalog
Enterprises need better tools to learn and collaborate around data sources. Data catalogs with pioneering machine learning capabilities can help you tap your valuable data
Qubole review: Self-service big data analytics
Cloud-native data platform puts Spark, Presto, Hive, and Airflow at your fingertips, while controlling your cloud spending
Who should be responsible for your data? The knowledge scientist
Organizations that recognize the importance of clean and reliable data while elevating knowledge work will move faster along the path to true data-driven decision-making
Will data gravity favor the cloud or the edge?
An industry standard confidential computing framework could unlock secure data processing at both the center and the edge
What is big data analytics? Fast answers from diverse data sets
Analyzing large volumes of data is only part of what makes big data analytics different from traditional data analytics
Semi-supervised learning explained
Using a machine learning model’s own predictions on unlabeled data to add to the labeled data set sometimes improves accuracy, but not always
How Qubole addresses Apache Spark challenges
The Qubole Data Platform brings streamlined configuration, auto-scaling, cost management, and performance optimizations to Spark-as-a-service
Deep learning frameworks: PyTorch vs. TensorFlow
If you actually need a deep learning model, PyTorch and TensorFlow are both good choices
PyTorch vs. TensorFlow: How to choose
If you actually need a deep learning model, PyTorch and TensorFlow are the two leading options
10 Splunk alternatives for log analysis
Splunk may be the most famous way to make sense of mass quantities of log data, but it is far from the only player around
10 Splunk alternatives for log analysis
Splunk may be the most famous way to make sense of mass quantities of log data, but it is far from the only player around
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