Real World Machine Learning with Apache Cassandra and Apache Spark (Part 1)

Machine learning is a powerful technology that developers and IT leaders need to understand for future preparedness. Apache Cassandra, a distributed NoSQL database management system, is ideal for executing large datasets and the tech stack of choice for companies like Uber, Facebook, and Netflix. Cassandra supports machine learning in five ways: horizontal scalability, decentralized and fault-tolerant databases, data distribution and replication, high availability and performance, and minimizing cloud costs. Machine learning involves processing raw data using algorithms to make better decisions. Apache Spark, an open-source unified analytics engine for large-scale data processing, easily integrates with both Cassandra and DataStax Enterprise (DSE) for successful machine learning projects.