Developers have been kids in a candy store for the past decade with exciting options for databases (such as MongoDB, Elasticsearch, and Cassandra), cloud storage services like Amazon S3, and new paradigms like microservices and serverless computing architectures. With these new approaches, applications are being developed more quickly and efficiently. That’s the good news.
The bad news is that the data generated by these applications creates new challenges when it comes to analytics. Those copious quantities of data largely reside in JSON and other nonrelational formats, inaccessible to traditional tools and methodologies for analytics.