Today I woke up after my night sleep, and quickly I completed my daily routines. I thought a few minutes to write useful posts for my readers. I decided to write the differences between JavaScript and JSON. JavaScript Vs JSON Top Differences JSON Quick Insights JSON is simply a data-interchange format and, therefore, does not directly require the immediate knowledge of the JavaScript language. JSON a subset of the JavaScript language. Data exchange can occur between both browser and server and even server to server. The file extension is .json. You can structure the JSON as below: A collection of name/value pairs. An ordered list of values. An introduction to JSON read here JavaScript Quick Insights JavaScript is a text-based scripting language, whereby sequences of Unicode characters strung together. JavaScript supports two different types of data types. Primitive and non-primitive. Primitive data types the best example is the Object. The non-primitive examples are number, string, Boo...

The first key difference between AWS and other IT models is flexibility. Using traditional models to deliver IT solutions often requires large investments in new architectures, programming languages, and operating systems. Why AWS is Superior Although these investments are valuable, the time that it takes to adapt to new technologies can also slow down your business and prevent you from quickly responding to changing markets and opportunities. When the opportunity to innovate arises, you want to be able to move quickly and not always have to support legacy infrastructure and applications or deal with protracted procurement processes. You May Also Like: Cloud computing certification course Flexibility In contrast, the flexibility of AWS allows you to keep the programming models, languages, and operating systems that you are already using or choose others that are better suited for their project. Easy to Learn You don’t have to learn new skills. Flexibility means that...

This post tells you differences between rdbms and distributed key-value storage. Rdbms is quite  different from key-value storage. RDBMS (Relational Database) You have already used a  r elational  d atabase  m anagement  s ystem — a storage product that's commonly referred to as  RDBMS .  It is basically a structured data. RDBMS systems are fantastically useful to handle moderate data. The BIG challenge is in scaling beyond a single server.  You can't maintain redundant data in rdbms. All the data available on single server. The entire database runs on single server. So when server is down then database may not be available to normal business operations. Outages and server downs are common in this rdbms model of database. Key-Value Database Key-value storage systems often make use of redundancy within hardware resources to prevent outages. This concept is important when you're running thousands of servers because they're bound...