Programming languages enable professionals to possess lesser code work that's easier to know. It helps big data professionals to arrange their unstructured data sets. Also, the professional that uses the code isn't always the one who created it. So, writing a code should be more communicative to avoid hindrance within the delivery of data science projects.
Mention to not say, programming skills are one among the must-have skills for big data professionals. Counting on the task at hand, your aspirations to require knowledge to its next level, the way your organization use data science, the efficacy in programming languages must get tuned. of the many programming languages like Python, Scala, Go, JavaScript, R, SQL, and lots of more, we've selected two prime languages – Scala and Go here for discussion.
Professionals chose one of these two countings on the project and the client’s requirement specifications. Golang or Go, developed by Google may be a statically typed and compiled language where the tools, ASCII text file, and compiler are free and open source. On the opposite hand, Scala may be a general-purpose programing language that gives support for functional programming.
Let’s understand these two programming languages intimately here.
Go as a programing language
It is a programing language developed by Rob Pike, Robert Griesemer, and Ken Thompson. The syntax of the Go language is somewhat almost like C language and provides dynamic-typing capability, garbage pickup, type safety, variable-length arrays, and key-value maps.
Features of Go language
The significant features of Go Programming include –
Programs are simple and concise
Faster time to compilation
Supports environment adopting patterns
Possess inbuilt concurrency support –
such as lightweight processes, channels, and choose a statement
Supports for type embedding and interfaces
Produces statically linked native binaries with no external dependencies
Advantages of Go language
The programing language comes with distinct advantages. to say a couple of, they are-
Improves the supply and services reliability because it is quicker than languages including Python and Java
Easy for professionals who know Java or C, because it possesses an equivalent procedural approach
It is scalable because it takes up only 2KB of memory when multiple concurrent processes are running. It also runs efficiently without crashing the system.
Organizations are depending more on Golang because it may be a powerful open source and straightforward to find out.
Use cases of Go language
Golang benefits businesses in various industries. a couple of the utilization cases are briefed here.
Dropbox, the cloud-storage sharing service efficiently manages quite 500 million users on its network with Golang.
Used for networking, cloud, and distributed functions like web servers, APIs, and web applications.
Used to build cornerstones of cloud-native computing like Kubernetes and Docker.
Replaces conventional counterparts. as an example, Teleport is that the remake of the SSH server.
Suitable for creating tooling and utilities as they will get launched quickly and packaged for redistribution.
With this, let’s move on to the opposite one, Scala.
Scala as a programing language
Scala (Scalable Language) may be a multi-paradigm programing language created by Martin Odersky and integrates easily with functional and object-oriented languages. it's easy for professionals having a knowledge science career because it is predicated on Java and each data science professional knows either Java, C, C++, or Python. It acts as a further intensify for his or her data science career.
Features of Scala
Scala is extensible, object-oriented, and statically typed.
Scala is functional, as every function may be a value and each value is an object.
Abstractions are used coherently and safely.
Scala is extensible and thus it's easy to feature a replacement language smoothly.
Java and Scala run on a standard execution platform i.e., Java Virtual Machine (JVM).
Scala facilitates writing codes in an immutable manner making it easy to use parallelism and concurrency.
Advantages of Scala
A few of the benefits of using Scala include:
Offers a convenient learning experience.
Provides optimization for code complexity.
Perform functions like Java but with fewer code lines.
Interoperable and compatible with Java.
Use cases of Scala
Scala is beneficial for budding developers and experts also.
Used extensively in big data and analytics as is preferred by data engineers.
Used in trading services and concurrent systems due to its scalability advantage.
Acts as a highly concurrent web framework for building APIs and apps.
Create highly distributed apps inside one application.
Build libraries and frameworks as per domains.
If you would like to settle on anybody of those two, then we propose that Go is cost-effective for cloud-native applications. Scala seems to be the simplest option for giant data and concurrent critical systems. However, it entirely depends on the client projects you're working into. So, as a knowledge science professional, it's recommended to possess technical skills by possessing a relevant degree, earning big data certification, learning several programming languages, and excelling in soft skills and communication skills.
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