SQL

First, come first, SQL is one of the most important skills that you must have. While using SQL, a programmer can have an advantage in working with multiple technologies (such as NoSQL).   

SQL is the data-centered language that works as a base for the big data era.

Programmers use SQL for multiple operations such as adding, updating, deleting, or modifying any records or tables, and so on. Besides this, RDBM or Relational database management is a crucial part of the field of data science and a data scientist can only control, manipulate or define and query the DB using SQL commands. 

Today, some of the modern big data systems (such as Hadoop and Spark) also use SQL only for maintaining the RDBMS (relational database systems) and processing structured data.

To know more about SQL, refer to this article: 30 Days of SQL – From Basic to Advanced

Must Have Skills For Big Data Jobs

We all must agree that Big Big data has become the most prominent technology throughout the globe and most businesses are relying on this “Hottest Technology” of the era. Over the period of time, many changes and implementations have been made and that enabled some of the most exciting tools & technology into the mainstream. As for weather forecasting, and data visualization, a dedicated tool has been introduced (one or multiple tools), and so on.

 

You must be wondering what’s the need for big data in such an industry, well, here are some quick stats to support this,

  • Forecasting itself is likely to cross 100 Zettabytes by the end of 2022 and will surpass 180 Zettabytes in the next 5 years (i.e. by 2025)
  • There’s no surprise that the figures have drastically grown since the pandemic and more than 95% of the organizations have already started investing in big data and AI. 
  • A report also suggested that it nearly costs USD 3 Trillion annually to eliminate wasteful data and that’s where big data comes into action to prevent those harms, and the market is likely to cross USD 100 Billion by the end of 2023
  • As of now, Google (one of the giant search engines) holds around 83 percent of the market share, and above 40,000 queries are being pushed via this gigantic search engine. To handle those stats and figures requires a proficient specialist and that’s what makes their job (big data professionals) both demanding and interesting. 

So, the primary objective is to get into Big Data and possess the best skills that can fit in any industry that you’ll be working in (and offcourse those skills that are highly in demand). In this article, we will discuss some of the best and most important skills that are required for big data jobs.

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7 Most Have Skills for Big Data Jobs

1. SQL...

1. SQL

First, come first, SQL is one of the most important skills that you must have. While using SQL, a programmer can have an advantage in working with multiple technologies (such as NoSQL)....

2. Apache Spark

Spark was first introduced by UC Berkeley in 2009 and since then it started gaining popularity in the field of data science. Today, Spark is capable enough to handle data (up to Petabytes) at a time and its data distribution happens across thousands of cluster cooperating servers (both physical and virtual). Spark also comes with an extensive range of libraries (and APIs) that can be commonly used by multiple programming languages (such as R, Scala, and Python)....

3. ML/AI/DL

Machine Learning, Artificial Intelligence, and Deep Learning are three hot fields of big data. Although the path is way beyond them they are the ones making a significant impact on the field....

4. Apache Hadoop

When it comes to handling any huge cluster of data, Hadoop is the answer all the time. Being one of the most popular big data platforms, it’s widely used for data operations that involve large-scale (unstructured) data. If you want to make your career in big data, you must understand the importance and knowledge of handling data on large scale....

5. Programming Language

This is something that creates the base of your big data career and there are certain general-purpose programming languages that enables you to work in this field smoothly. Languages like Python, R, Java, C++, SQL, Scala, Julia, etc. are some of the most widely used languages and that can also remove the learning barricade from becoming a successful data analyst expert....

6. Data Visualization

Enabling the capabilities of displaying data visually is slightly more impactful than traditional methods. It helps people understand the latest trends, and patterns and help them in deciding the outcome (in many cases). That’s why data visualization is among the top skill sets that you must possess to get on board in the big data field....

7. Statistical Analysis

It’s an important method of data analysis that helps in drawing meaningful outputs from any unstructured data. This method also helps in making fruitful business decisions based on data trends....

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