Big Data Analyst: What it is, Tools, Career and Salary

Big Data Analyst

Big Data is a critical part of our daily lives and has a profound impact on almost everything we do. In recent years, Big Data analytics has become a big business. This field is still relatively new and there are many things to learn about big data. Fortunately, there is hands-on training to help you understand and explore Big Data concepts. Big Data Analyst mainly scans scattered business information keeping in mind the mission and goal of the organization.

What is Big Data Analytics?

Big Data analytics examines large or Big Data sets to uncover relevant and useful information to help businesses make informed decisions. These uncovered data can include patterns, hidden trends, unknown correlations, and other data. This can be a complex process that requires a Big Data Analyst who is skilled and experienced to complete it accurately and successfully.

What does a Big Data Analyst do?

At its core, Big Data analytics focuses on the discovery and analysis of user data such as hidden patterns and trends so that companies can make better business decisions and be more competitive. A Big Data analyst is responsible for studying the market and identifying, collecting, analyzing, visualizing, communicating, and communicating the data to guide future decisions.

A Big Data analyst has many hats. They often switch between conducting research, mining data for information, and presenting their findings. Anyone interested in this field should have the ability to be versatile. Big Data analysts need to be able to solve problems and think critically while using creative reasoning. Big Data analysts who are successful should have strong programming and quantitative skills. They also need to be able to communicate effectively in both writing and oral. Auditing and data mining skills are also essential.

Also read: What Skills are Needed Become A Data Scientist

Big Data Tools

You’ll use different tools depending on what you’re doing and the task at hand. It is important to receive formal training. By learning the right tools in advance, you will be able to handle your first project on the job with confidence and without worrying about misusing them.

You’ll be using many tools as a Big Data Analyst, including but not limited to:

  • MapReduce
  • Hive
  • Sqoop
  • Hadoop Frameworks
  • Impala
  • Pig
  • HBase
  • Apache Spark
  • HDFS
  • YARN
  • Flume

Big Data Analyst Salary

When choosing a career path, there are many factors to consider. It is important to enjoy your job and excel at it. You will be working for a long time. It is important to find something you love. A job as a Big Data Analyst is a great fit for someone who loves technology and data.

You should consider other factors when choosing a career path. These include work environment, work schedules, and others. People often want to know the salary when comparing various options.

There are many data analysis jobs in the future. The average salary for Big Data analysts in the United States is $84,955, or $43.50 per hour, according to PayScale. This does not include the salary of a Big Data Analyst in India. A career in Big Data Analytics is a great choice if you are passionate about data and want a steady job in an expanding field that offers virtually endless possibilities.

How to Become a Big Data Analyst

Big Data Analyst jobs require a degree in mathematics, statistics, finance, or economics. However, this is not always true. The field is constantly changing, so professionals must keep learning.

Hadoop and Spark Big data frameworks are covered in the program to prepare students for the Cloudera CCA175 certification test. The skills covered include parallel processing and real-time data, as well as functional programming and Spark applications. There are many options, including blended and self-paced learning as well as corporate training. Students must be proficient in Core Java and SQL programming languages to enroll in this course.

A Big Data Engineer Certification Course is also available where students can work in real-world scenarios to earn certification as a Data Engineer or Big Data Engineer. This course is unique because they are all built upon each other so that students receive excellent training in all areas of Big Data.

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