Analyzing metrics from thousands or millions of clients typically requires aggregations for downstream analysis.
Building a unified data pipeline means that you will likely need to choose between two of the mainstream messaging systems:
The extendList function defaults myList to an empty list. However, myList is only created when the function is first defined. Therefore subsequent calls to e...
Preparing for a technical interview with Python means that you should have a decent understanding of the following concepts.
An example of a closure is when a function depends on a variable outside it’s scope. A more specific definition from Stack Overflow Post states:
How do you scale a write/read-heavy application?
A data pipeline is method for shipping data efficiently to various services throughout your system. It also provides a framework that supports stream process...
A decorate pattern is simply a wrapper that is used to extend the behavior of a function without actually modifying the function.
The singleton pattern ensures that only one instance of an object can be instantiated. The code snippet (from tutorialspoint) below is an example of a single...
Virtual methods allow the subclass methods to be called even if the pointer is of type base class. The code snippet is taken from Stack Overflow:
Apache Spark comes bundled with several launch scripts to start the master and worker processes. We can launch a master and two workers processes by executing
The most efficient way to load data into AWS Redshift is first upload your data to S3 and then execute the copy command on Redshift. From the documentation
What you need to know when setting up Spark Streaming with AWS Kinesis.
How to avoid dependency hell