Feature hashing is a valuable tool in the data scientist's arsenal. Learn how to use it as a fast, efficient, flexible technique for feature extraction that can scale to sparse, high-dimensional data.
Want to keep your programs running performantly? Here are some steps you can take to eliminate bottlenecks, tips for caching, and other performance tuning suggestions.
With some planning and awareness, you'll quickly be on your way to harnessing your clickstream data to discover hidden trends, behaviors, and preferences!
Rule 1 of Reactor Club: Don't write your own Publisher. But if you ignore that rule, there are others to follow, as we'll see as we make our own Publisher implementation.
Java EE 8 saw updates to JSON processing. Check out what's new with the JSON-P API, the two models it offers for JSON processing, and their basic methods.
OData 4 differs significantly from OData 2. Learn about the differences between them when using Hybrid Data Pipeline and decide whether you need OData 2, OData 4 or both.
Serverless is fast becoming very common in the world of APIs and web applications. Take a look at a diagram that lays out how a typical serverless interaction might occur.
InfluxDB was designed for time series data, and Elasticsearch wasn't. However, many people use Elasticsearch for this purpose. Is one database better than the other?
Some of the shortcomings of Elasticsearch can be overcome using some Logstash plugins. Check out how to use them to aggregate and index data into Elasticsearch.
MuleSoft saves enterprises time and money by integrating SAP with their SaaS solutions using Mule ESB. Learn about benefits to the business and customer.
Learn about reading data from different data sources such as Amazon Simple Storage Service (S3) and flat files, and writing the data into HDFS using Kafka in StreamSets.
While the rest of the world embraces smart city technology in fits and starts, here is where Amsterdam shines with open data and citizen-led startup initiatives.
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