<\/p>\n

If<\/em> you\u2019re still not convinced enough by the above example, here\u2019re the reasons you should try to become a part of the future big data analytics<\/strong>.<\/p>\n

2.1- Huge job opportunities<\/em><\/h4>\n

<\/p>\n

As<\/em> organizations begin to realize they cannot make use of big data in terms of capturing, interpreting and using that data, they\u2019ve started to look for professionals who\u2019re capable of doing so. Just have a look at any major job portal and you\u2019ll find that there\u2019re lots of job postings by companies looking for data analysts. This number will eventually continue to increase as data will become more abundant and the number of professionals with skillsets needed for the job will remain low. So, now is the time to get prepared to become a part of future big data analytics<\/strong>.<\/p>\n

2.2- Data analytics is and will be a priority for top companies<\/em><\/h4>\n

<\/p>\n

To<\/em> remain competitive in the business landscape, top companies are looking to implement data analytics to explore new market opportunities for their products and services. Today, a huge percentage of major companies consider data analytics as a crucial component of their business performance and a key approach to rise above the competition and this will become even more important with competition increasing over time. It means today\u2019s aspiring big data professionals will be able to become an inherent part of future big data analytics<\/strong>.<\/p>\n

2.3- Great salary aspects<\/em><\/h4>\n

<\/p>\n

Across<\/em> the globe, the demand for big data analytics skill is steadily going up with a massive deficit on the supply side.<\/span> Despite big data analytics considered as a hot job, there\u2019s a large number of unfilled jobs because of the acute paucity of required skills. The difference between demand and supply is only expected to increase. As a result, wages for professionals with data analytics skills are boosting and companies are ready to offer fattier pay packets for the right people. In some countries, data analytics professionals are getting substantially higher compared to their peers in other IT-based professions. This monetary benefit can surely be considered as a great reason to become a big data analytics professional.<\/strong><\/p>\n

2.4- Big data analytics is increasingly getting adopted by organizations<\/em><\/h4>\n

<\/p>\n

New<\/em> technologies in the field are making it easier to perform sophisticated data analytics tasks on diverse and massive datasets. A lot of professionals are using advanced data analytics techniques and tools to perform tasks like data mining, predictive analytics, among others. With big data analytics offering businesses an edge over the competition, companies are implementing a diverse range of analytics tools increasingly. Today, it\u2019s almost impossible to find a top brand that doesn\u2019t take help of at least some form of data analytics. In light of the increasing adoption rate of data analytics, it can be said that the landscape of future big data analytics<\/strong> will hold a good place for skilled professionals.<\/p>\n

2.5- You\u2019ll be a part of the core decision making<\/em><\/h4>\n

<\/p>\n

For<\/em> the majority of the companies, big data analytics is a major competitive resource. There\u2019s no doubt that analytics will become even more important in the near future as competition will keep on increasing. This is mainly because there\u2019s a massive amount of data which is not being used and only rudimentary analytics is getting done. It\u2019s an undeniable fact that data analytics is and will be playing a crucial role in decision making, regardless of the volume of an organization. Not being able to be a part of the decision-making process is something that generates dissatisfaction for a significant number of employees. As a big data analytics professional, you\u2019ll be a crucial part of business decisions and strategies, catering to a major purpose within the company.<\/p>\n

2.6- You\u2019ll have a diverse range of job titles to take your pick from<\/em><\/h4>\n

<\/p>\n

As<\/em> a data analytics professional, you\u2019ll have a wide range of job titles as well as domains from which you can choose according to your preference. Since data analytics is used in different fields, lots of job titles like big data engineer, big data analytics architect, big data analyst, big data solution architect, analytics associate, big data analytics business consultant, metrics and analytics specialist etc will be available to you. Also, an array of top organizations like Microsoft, IBM, Oracle, ITrend, Opera are utilizing big data analytics and thus huge job opportunities with them are possible.<\/p>\n

2.7- You\u2019ll be able to become a freelance consultant<\/em><\/h4>\n

<\/p>\n

A<\/em> vast majority of today\u2019s workforce keeps on looking for ways to diversify their income sources and ways through which they can maintain a perfect work-life balance. Data analytics professionals being able to offer valuable insights about major areas hold the perfect position to become a consultant or freelancer for some of the top companies. So, you don\u2019t need to be tied to a single company. Instead, you\u2019ll be able to work with multiple organizations who\u2019ll depend on your insights when making crucial business decisions.<\/p>\n

3- Key skills you should focus on to become a part of future big data analytics<\/em><\/strong><\/h3>\n

<\/p>\n

To<\/em> become successful in the future big data analytics<\/strong> landscape, you need to have the ability to derive useful information from big data. There\u2019re different approaches to learn the key skills needed to become a data analytics professional like self-learning, learning from tutorials etc but we\u2019d suggest you take a course in order to learn from instructors with real-world experience. Let\u2019s have a look at the skills.<\/p>\n

3.1- Programming<\/em><\/h4>\n

<\/p>\n

A<\/em> big data analytics professional needs to have a solid understanding of coding because a lot of customization is needed to handle the unstructured data. Some of the most used languages in the field include Python, R, Java, SQL, Hive, MATLAB, Scala, among others.<\/p>\n

3.2- Frameworks<\/em><\/h4>\n

<\/p>\n

Familiarity<\/em> and a good understanding of frameworks like Hadoop, Apache Spark, Apache Storm are needed to become a part of future big data analytics<\/strong>. All these technologies would help you in big data processing to a great extent.<\/p>\n

3.3- Data warehousing<\/em><\/h4>\n

<\/p>\n

Adequate<\/em> knowledge of data warehousing is a must to become a good data analytics professional. You\u2019ll be expected to possess a good understanding of working with database systems like Oracle, MySQL, HDFS, NoSQL, Cassandra, among others.<\/p>\n

3.4- Statistics<\/em><\/h4>\n

<\/p>\n

While<\/em> you\u2019ve to have a robust understanding of the technologies used in the field, good knowledge of statistics is also a must for working with big data. Statistics is the building block of data analytics and expertise in core concepts like random variables, probability distribution etc is extremely important if you want to hold a strong position in the future big data analytics<\/strong> landscape.<\/p>\n

3.5- Strong business acumen<\/em><\/h4>\n

<\/p>\n

One<\/em> of the most crucial skills to become a big data analytics professional is a solid understanding of the business domain. In fact, one of the key reasons behind the huge demand of big data analysts is that it\u2019s highly difficult to find someone with adequate knowledge in statistics, technical skills, and business landscape. There\u2019re professionals who\u2019re expert programmers but don\u2019t have the needed business acumen, and thus may not be the ideal fit for future big data analytics<\/strong> domain.<\/p>\n

Final takeaway<\/em><\/strong><\/h3>\n

<\/p>\n

The<\/em> advent of IoT together with the developments in the AI field has simplified implementation of big data analytics to the degree that even small and medium scale businesses can benefit from them. And since almost every sector from banking and securities, education, healthcare to consumer trade, manufacturing, and energy is directly or indirectly making use of data analytics, the importance of it increases even further. As we\u2019re moving toward a more connected future, big data analytics is going to play a major role in the future. With technologies around the world becoming more interoperable and synchronous, data will become the most important avenue that connects them together. So, it can be said that this is the ideal time to start developing the skills and become a master of them to hold a good place in the future big data analytics<\/strong> landscape.<\/p>\n