Top 10 Skills To Get Placed In FAANG:
Originally coined by Jim Cramer of MSNBC, FANG is a group of high-performing technology stocks that includes Facebook, Amazon, Netflix, and Google (Alphabet). Investors then added Apple to the list to form the acronym FAANG. Meanwhile, Goldman Sachs coined their acronym, adding Microsoft.
Top 10 Skills One Should Require
1. Cluster Analysis
Cluster analysis is the task of clustering or grouping objects. In this way the things in a group are more similar than those in another group. It will give you broader scope, and you can develop your career in FAANG companies.
2. Shell Scripting
The shell is a program that provides the user with an interface to use the operating system’s functions through some commands. A shell script is a program that is used to perform specific tasks. Shell scripts are used to avoid repetitive work. You can write a script to automate a set of instructions to be executed one after different, instead of typing in the commands one after the other n number of times. This will be very beneficial for FAANG interviews.
3. Signal Processing Techniques
Companies spend millions of dollars annually in buying test equipment so that their engineers and technicians can record test data. This investment in equipment and workforce is for one purpose: to understand how their products will work in the real world. This understanding can only come from capturing and analyzing high-quality, objective data.
A spark is a tool that was created to not only solve the problem of data engineering but also to be accessible and helpful to the people who are further down the data pipeline. It is increasing the number of people who can get value from data.
The Hadoop is an open-source framework that allows storage and process of big data in a distributed environment across clusters of computers using simple programming models. It is designed to scale from a single server to thousands of machines, each offering local computation and storage. It is written in Java and used by Google, Facebook, LinkedIn, Yahoo, Twitter, and particularly, FAANG companies.
6. Data Mining
Data mining is one of the most useful techniques. Data mining is also called Knowledge Discovery in Database (KDD). The knowledge discovery process includes Data cleaning, Data integration, Data selection, Data transformation, Data mining, Pattern evaluation, and Knowledge presentation. This knowledge is helpful in getting a job at FAANG.
7. Network Architecture
Network architecture refers to how network devices and services are structured to serve the connectivity needs of client devices. A) Network devices typically include switches and routers. B) Types of services include DHCP and DNS. C) Client devices comprise end-user devices, servers, and smart things. An intent-based network takes an organization’s desired outcomes at a high level as input and sets up the network to achieve these objectives. This knowledge is very much needed to crack FAANG.
8. Knowledge In Mathematics
Due to their rapidly increasing amount, maintaining mathematical documents more and more becomes an engineering task. In this paper, we combine the projects MMISS and CDET. That way, we achieve major benefits for mathematical knowledge management: (1) Semantic annotations relate mathematical constructs. This reaches beyond mathematics and thus fosters integration of mathematical content into a broader context. (2) Fine-grained version control enables change management and configuration management. Mathematical Knowledge is very important not only get a job at FAANG but also in any company.
9. Cloud Computing
Simply put, cloud computing is the delivering computing services—including servers, storage, databases, networking, software, analytics, and intelligence—over the internet (“the cloud”) to offer faster innovation, flexible resources, and economies of scale. You typically pay only for cloud services, helping lower your operating costs, run your infrastructure more efficiently and scale as your business needs change. Cloud computing essentially involves storing and delivering data, programs, and other computing resources over the internet. Careers with this skill include cloud security engineers, data science engineers, cloud architects, and cloud consultants.
10. Programming Knowledge