Companies these days are handling more data than ever: an average of 163 terabytes (163,000 gigabytes), according to a survey by IDG. Efficiently storing, processing and analyzing this data is essential in order to glean valuable insights and make informed business decisions. Yet the question remains: What is the best way to store enterprise data? For many use cases, the most appealing choice is a relational database.
Our customers share why they chose Fivetran to replicate their database data and how their analytics have improved as a result.
If you’re looking for reliable data integration, you may have heard of Debezium as a rising open source software for database replication to assist with your migrations.
Use schemas to make life easier for your analysts and engineers.
ActiveRecord is Ruby on Rails’ most magical feature. We don’t usually need to worry about its inner workings, but when we do, here’s how AppSignal can help us know what’s going on under the hood.
While SQL has been the big dog since the 70s in terms of database management, NoSQL has really come into its own since the late 2000s. In fact, NoSQL has become a powerful and important tool for data analysis and data scientists. To that end, we wanted to take a look at what NoSQL actually is, what are the benefits over SQL, and what are the different data models.
MySQL is an open source database application that creates meaningful structure and accessibility for large amounts of data.. But, with large data comes performance issues. This article will give you performance tuning in MySQL tips in order to boost its performance.
Cloudera Operational Database is now available in three different form-factors in Cloudera Data Platform (CDP). If you are new to Cloudera Operational Database, see this blog post. And, check out the documentation here. In this blog post, we’ll look at both Apache HBase and Apache Phoenix concepts relevant to developing applications for Cloudera Operational Database.
Combining the best of data lakes and data warehouses.
What are the most important database performance metrics, and how do you monitor them? This is a question many IT professionals would like the answer to. We can collect and use a wide range of database metrics to analyze database and server resource consumption, not to mention overall usage. You are probably wondering why this is essential for business, so let’s explore this next.
