Importance of Big Data and the Skills Needed to Shine in Big Data
January 25, 2022 2022-12-21 18:04Importance of Big Data and the Skills Needed to Shine in Big Data
Importance of Big Data and the Skills Needed to Shine in Big Data
Big data is a trending concept that has been discussed a lot lately. However, it has been used by organizations even earlier. You may ask what is so importance of big data concept.
Why there is a need for big data specialists?
Do you know that big data can open the gateway to IT, finance, retail, etc?
As technology is progressing at a quick rate, the big data trend is expected to accelerate in the near future.
What is Big Data?
Big data is a blend of structured, semi-structured, and unstructured data gathered by organizations. Big data has three important Vs including volume, variety, and velocity. The varied nature of big data gives it a complex nature. With the expansion of online enterprise applications used in several domains, a huge sum of data is generated daily from a plethora of sources.
Significance of Big Data
The significance of big data is not determined only by the amount of data you possess. The key is in using the data efficiently. Organizations use big data to enhance operations and deliver better customer service. Businesses that deploy the best of big data will have a leg up in the competition because they are in a position to make quick and informed decisions. Big data offers actionable insights about customer behavior so that the organizations can use it in their business strategies. To be precise, big data is used in almost every industry to make out patterns and trends, answer important questions, know about customer behavior, and handle complex issues. The organizations deploy the information for several reasons including developing their businesses, comprehending customer decisions, carrying out predictions etc.
Assessing and processing of data has turned out more rapid now, simultaneously delivering good results. Big data also enables informed decision-making and reduces losses. Besides, the presence of advanced analytical tools can also aid in the automation of specific operations.
An in-depth understanding of the organizational challenges can help the organizations stand a chance to shine in the competition. This is done through big data, which done properly can be a real boon.
Skills Needed for Big Data
Apache Hadoop
Apache Hadoop has seen a great surge in the past few years. Hadoop components including Pig, Hive, MapReduce, HDFS etc. are in great demand nowadays. Hadoop clusters are becoming more common nowadays. Knowledge of Hadoop is beneficial for the aspiring candidates.
Data visualization skills
Data visualization skills are very important for an aspiring big data candidate. Data has to be convincingly told to deliver the relevant information. There should be clarity in your insights; otherwise you will not be able to deliver your message properly. You can deploy good quality graphs and charts to drive across your message effectively.
Data mining
Data mining comprises exploring and assessing huge sums of data to locate patterns for big data. Those who have expertise in data mining are much sought-after in big data jobs. Sisense, Rapid Manner, and Knime are some of the best data mining tools.
Programming skills
Knowledge of programming languages including Python, Java, etc. will add value to the big data professional. Several organizations are looking out for programmers who are well-versed in data analytics. Familiarity with data structures and algorithms will also go a long way in having a great career in big data.
Problem-solving
Gaining clear insights which will also be actionable from unstructured data is one of the biggest challenges of big data. Here a person who has the mindset to solve problems will be a real asset. Their in-depth perception will only help in fixing the problem sooner.
SQL
Structured Query Language though old is still used in different fields, and bid data is no exception to this. It is a data-oriented language and is used to streamline and process the structured data stored in databases.
NoSQL
As has been constantly emphasized on this blog, the need to gain insights from unstructured data is increasing. For this purpose, NoSQL databases have come to the picture. The NoSQL database can store and take care of huge sums of data, whether it be structured, semi-structured or unstructured. MongoDB is one of the mostly used NoSQL database.
Take-home message
There is huge sum of unstructured data, and this becomes the real challenge for organizations. But the best part is that if done properly, it will enhance their business strategy. Are you planning to learn big data from a renowned institute? Ensure that you enroll in
SLA Institute that provides industry-accredited certification and thorough interview preparation.
