Thanks to a relatively simple database-scaling capability and optimized storage for database workloads, you might assume that managing their performance in the cloud has become a simple task. But this…
Today, it’s no question that we generate more logs than we ever have before. However, due to a large amount of data constantly analyzing and resolving various issues, the process…
For the last couple of decades, ETL (extract, transform, load) has been the traditional approach for data warehousing and analytics. The ELT (extract, load, transform) approach changes the old paradigm.…
In this day and age, data is everything. Your cloud infrastructure, environment setup, the security you have in place—all of it revolves around working with and protecting the precious data…
When starting a new project that will eventually contain time-series data (logging user activity, system logs, etc.), one needs to make a decision on which storage to use for this…
In your journey to get away from monolithic applications and start streaming data processing, you’ll undoubtedly have to compare three solutions that have each tackled the distributed messaging problem in…
