Big Data plays a vital role in our everyday lives, impacting virtually everything we do. Analyzing this data has become big business in recent years, which has led to more of a need for Big Data analysts. Because this field is relatively new, there’s a lot to learn — fortunately, there’s also hands-on training available to help understand and explore Big Data concepts necessary for a successful career.
What is Big Data Analytics?
Big Data analytics is the examination of varied Big Data or large data sets to find relevant and useful information that allows businesses to make informed choices. This uncovered information can include unknown correlations, patterns, hidden trends, and other data. It can be a complicated process, and it takes a skilled and trained Big Data Analyst to successfully and accurately complete it.
Read more: Characteristics of Big Data: Understanding the Five V’s
What Does a Big Data Analyst Do? Big Data Analyst Roles and Responsibilities
At its core, Big Data analytics centers on uncovering and analyzing useful data like hidden trends and patterns so companies can make more informed business decisions and gain a competitive advantage. Big Data analyst roles and responsibilities include studying the market by identifying, collecting, analyzing, visualizing, and communicating this data to help guide these future decisions.
A Big Data analyst wears multiple hats, frequently switching gears from conducting research to mining data for information to presenting findings. This makes versatility an important skill for anyone interested in this field. Problem-solving skills are also essential for a Big Data analyst, as is the ability to think critically and logically while also using creative reasoning skills.
Another Big Data Analyst role and responsibilities include having programming knowledge, quantitative and data interpretation skills, strong oral and written communication skills, and experience with multiple technologies. Data mining and auditing skills are also a must.
Big Data Tools
When you work with Big Data, you’ll be working with different tools, depending on the specific task you’re completing and what exactly you’re working on. This is why receiving formal training is so important; by learning the necessary tools ahead of time, you’ll be able to handle your first on-the-job project with complete confidence, and without any doubts or concerns that you may be misusing the tools.
Some of the many tools you’ll use as a Big Data Analyst include, but are not limited to:
Big Data Analyst Salary
When it comes to choosing a career path, people often consider several different factors. It should be something you’re good at and enjoy doing; after all, you will spend a good chunk of your life working, so ideally, choosing something you’re passionate about is best. If you have a love for technology and data, working as a Big Data Analyst may be your perfect fit.
Read more: Best Big Data Certifications in 2023
There are other factors to consider when selecting a career path, and you’ll need to decide what’s important to you, such as work environment, typical work schedules, and so on. Naturally, when it comes to comparing different options, people often want to know about salary.
The future looks bright for careers in data analysis, as well. According to PayScale, the average annual Big Data analyst salary in the United States is $84,955, or $43.50 per hour nclude Big Data Analyst salary in India. If you love data and are looking for a stable job in a growing field with virtually unlimited possibilities, consider a career in Big Data analytics.
Want to begin your career as a Data Engineer? Check out the Data Engineering Course and get certified.
Becoming a Big Data Analyst
While Big Data jobs often call for a degree in math, statistics, finance, economics, or computer science, that’s not always the case. Because the field is evolving just as fast as the data it analyzes, the role requires professionals to upskill continuously.
Simplilearn’s program covers the Hadoop and Spark Big Data frameworks to help students prepare for the Cloudera CCA175 certification exam. Skills covered include real-time data and parallel processing, functional programming, and Spark applications. Options include self-paced and blended learning, as well as corporate training. To enroll in the course, students must have a working knowledge of Core Java and SQL programming languages.
There’s also a Big Data Engineer Certification Course where students can complete real-life scenarios to become certified Data Engineer or Big Data Engineer. The beautiful thing about this course is that they all build upon each other, so students get excellent training in all aspects of Big Data.
Looking forward to becoming a Hadoop Developer? Check out the Big Data Hadoop Certification Training Course and get certified today.
Here’s How Simplilearn Can Help
Upskilling in Big Data and analytics is a wise career choice, especially if you enjoy working with data. According to Allied Market Research, the global Hadoop market will hit $84.6 billion by 2021, and there’s currently a shortage of analysts in the field. According to International Data Corp., worldwide revenue for Big Data and business analytics solutions is expected to reach $189.1 billion in 2019. By 2022, that number is expected to jump to $274.3 billion. According to forecasts from the Bureau of Labor Statistics, Big Data could be a big deal for job seekers through at least 2040.
Through Simplilearn’s Big Data Hadoop Certification Course, students get everything needed to master Big Data, all in an organized and structured format. The course features 48 hours of instructor-led training, 10 hours of self-paced video, and real-life industry-based projects like analyzing insurance claims and price changes. Best of all, they get lifetime access to additional self-paced learning upon completion of the course, meaning they can continue to keep up with industry trends as Big Data evolves.
In addition to Hadoop, Big Data applications covered in Simplilearn’s certification course include MapReduce, Hive, Sqoop, Frameworks, Impala, Pig, HBase, Spark, HDFS, YARN, and Flume. By utilizing these Big Data tools and applications in real-life projects, students can better understand and apply them in practical settings for a more well-rounded career in Big Data analytics.
If you’re interested in Big Data analytics, all you need is a little programming knowledge and the willingness to learn more. Enroll in Simplilearn’s Big Data Hadoop Certification Training today to supercharge your career!
