An experience software architect runs through the concepts behind Apache Spark and gives a tutorial on how to use Spark to better analyze your data sets.
We will see what to have in component tests for an event-driven microservice and understand what component testing is and how it's different from unit testing.
This article discusses that by using appropriate data ingestion tools, companies can collect, import, process data for later use or storage in a database.
QA for AI and ML is developing fast. Learn why it matters and what data quality has to do with the accuracy of your ML models and the success of AI initiatives.
Artificial intelligence can give your business a competitive advantage and unlock tremendous opportunities that were hitherto inaccessible. Here’s a 6-step plan to developing an effective AI-first strategy.
Spring Cloud Stream is a framework built on top of Spring Boot and Spring Integration that helps in creating event-driven or message-driven microservices.
If your DevOps team is planning process automation, here are a few key things to know about the flexibility of BPM engines and how to implement them properly.
With more data available, it’s getting more difficult to focus on the information we really need and present it in an actionable way. We list 20 tools to help you focus.
Right now, Apache Kafka utilizes Apache ZooKeeper to store its metadata. Managing a ZooKeeper cluster creates an additional burden on the infrastructure and the admins.
Java completes 25 years of programming life and remains closer to developer's minds; almost 69% of the worldwide developer community remains to code in Java, even now.
Wearable IoT devices for health monitoring are presented. Opportunities and challenges for developing applications for interoperable big data are also explored.
There are stages in the data cleansing process where machine learning can not only automate workflows, but influence decisions, and achieve better results.