Nowadays, companies are moving their infrastructure from on-premise devices to the cloud. There are a few major cloud vendors like AWS, Azure, and GCP that dominate the market shares.
When applications are deployed to the cloud, more and more data is generated daily. However, the humongous amount of data generated each minute has no value until these data are properly analysed. This brings us to the rise of Data Visualization tools allowing us to visualize large data.
SQL Server is one of the most popular databases used in modern applications. Over the past few decades, it has established itself as a leading database provider that drives most of the applications in the Microsoft ecosystems. It provides unique features and easy integration with technologies.
Analytic functions are special kinds of pre-built functions that come with PostgreSQL by default. They allow you to execute a variety of analytical workloads on your datasets and prepare results.
In the world of cloud computing, where we need to provide insights to customers in a swift and meaningful way, understanding these analytical functions solves a lot of challenges.
This article will talk about the most common analytical functions used in PostgreSQL.
When we think about a cloud solution provider, we often consider the most popular ones, i.e. Amazon Web Services, Microsoft Azure, and Google Cloud Platform. There are other popular providers (IBM, Oracle, etc.), but the three giants take the lion’s share of the market. Hence, companies prefer migrating their architectures to them. Amazon is a leader with over 200 web services currently, and it adds more every month.
AWS Lambda is an event-driven, serverless cloud computing service provided by Amazon, a part of the Amazon Web Services. It responds to multiple events like uploading files to S3, clicks on websites, etc. Then, it takes action based on the trigger.
AWS Lambda supports multiple programming languages, such as Node, Python, C# (using dot net core), etc. For each of them, multiple runtime versions are supported. For example, it is possible to develop Python applications that target multiple versions of the runtime (3.6, 3.7, and 3.8).
Lambda functions are also known as serverless, as you do not need provisioning any infrastructure to run your applications. You can just write the code, deploy it to Lambda, and get it executed.
Python is a multi-purpose programming language developed by Guido van Rossum in the late 1980s. Today, it is widely used in software engineering worldwide and across various domains. Web development, application development, IoT, Data Science, Machine Learning, and Artificial Intelligence are a few of the scope. One of the reasons why Python is so popular is its simplicity in code-writing.
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