Big Data Expert Guide 2020
                     Session 1
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It's not a surprise today that everything big data dominates the tech market. Big 
Data refers to large volumes of data that are structured as well as unstructured. 
For organizations, it is a very prized possession because it can be analyzed 
further for insights that might lead to better strategic business decisions. 
Thus, the demand for big data experts has quadrupled in the last few years. 
According to IBM, the number of jobs for data professionals in the U.S will 
increase to 2,720,000 by 2020. 
 
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History Of Big Data
The process of collating and storing large amounts of information has been around 
for a long time now. But the concept of Big Data came into light in the early 2000s 
when industry analyst Doug Laney defined big data with the help of three V's, i.e., 
Volume, Velocity, and Variety.
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Volume: Organizations collect data from multiple sources like business 
transactions, industrial equipment, videos, social media, and smart devices.
Velocity: The massive torrents of data streams that happen at an unparalleled 
speed are handled in real-time using RFID tags, sensors, and smart meters.
Variety: Variety refers to the different formats that data is collected in, like 
structured, numeric data in a traditional database, or unstructured text, 
documents, emails, videos, etc.
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Fundamental Skills Of Big Data Expert
A big data expert dons many hats. That's why they are expected to have a variety 
of skills, which can] add to their value. You can head to the website Global Tech 
Council for a profitable certification on Big Data Expert. Now let's discuss the skills 
you need to add to your resume if you're hoping for a career as a big data expert.
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Programming Language Skills
You should have knowledge of programming languages. Some of the most 
common ones are Python, Java, and C++. If you know even one of these (we'd 
suggest Python), then it will be easy for you to work on others like Hadoop, Scala, 
etc. Working on big data platforms, you will be scripting at some point, so your 
programming languages will come in very handy. You can sign up for the crash 
course on Python Programming as it's conducive in a small amount of time.
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Machine Learning and 
Artificial Intelligence(AI) Skills
Big data professionals who have machine learning and AI skills are in demand for 
organizations all over the world. It includes a thorough knowledge of neural 
networks, adversarial learning, logistic regression, reinforcement learning, 
decision trees, supervised machine learning, etc. This is because the more skills 
you acquire, the more valuable you become to the employer.
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Quantitative Skills
A strong background in mathematics and statistics will be an added advantage for 
you if you're entering the big data training field. Quantitative analysis will become 
a part of your everyday life as a prominent data expert because you will be 
working with powerful tools like SPSS and R for statistical analysis. Quantitative 
analysis is a huge part of day-to-day life in big data because it's all about the 
numbers.
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Data Mining Skills
Your data mining skills should be on-point as this is something you will be doing 
day in and day out. Extracting usable data from raw data will help you advance in 
your career. Some of the standard data mining kits you should be familiar with are 
Apache Mahout, Rapid Miner, KNIME, etc.
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Problem-Solving Skills
Instead of calling it a skill, we think it's a personality trait. Those who have a 
naturally analytical mind, consistently working to sharpen it, will go a long way. 
You can keep practicing chess, solving puzzles, videogames, etc. that challenge 
problem-solving skills.
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Data Structure and Algorithm Skills
Knowing how to streamline unstructured data is a hot skill, the big data expert has. 
It would be best if you familiarize yourself with types of data like queues, stacks, 
bags, sorting algorithms like quicksort, merge spot, heapsort, and data structures 
like red-back trees, hash tables, binary search trees, etc. You should know how to 
manipulate the findings from unstructured data into what is profitable for the 
organization.
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Data Visualization Skills
The ability to interpret and visualize lies at the confluence of creativity and 
science. Not everyone is capable of it, but those who can have a higher market 
value for the employer. You need to understand the business environment and 
domain to represent your employer in the best way possible. Along with precision 
in science and mathematics, you need to have imagination and curiosity.
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Why Is Big Data So Importance?
Big Data can transform any organization. It can drastically improve the functions 
and business decisions of an organization with simple managing and utilizing data 
operations. Here are three ways in which it impacts an organization.
● Business Intelligence: The term refers to the ingestion, analysis, and 
application of big data for the betterment of an organization. For the modern 
market, business intelligence is an essential tool that predicts activity and 
challenge points.
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● Innovation: By analyzing big data, we get a view of molecular interactions, 
patterns, and anomalies taking place within an industry or its market. The 
findings of this data can be used to invent new products and tools to drive 
better traffic.
● Reduction in Cost of Ownership: For any organization, a penny saved is a 
penny earned. Therefore, the use of big data in multiple areas of 
implementation can reveal which resources are underutilized or which aspect 
needs more attention. It allows managers to keep flexible budgets on the 
latest findings through data analysis.
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Conclusion 
Every organization in every industry is now using big data for better output and 
opportunities with its customer base. A big data expert is becoming the backbone 
of the company for the groundbreaking research they supply. Futuristic 
technologies like Data Science, Machine Learning, Artificial Intelligence, etc. will 
dominate the times to come. So sign up for the big data certification today!
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Globaltech Council Certifications -
You can check out our certifications, and kick start your career.
● Certifies Artificial Intelligence Expert
● Certified Augmented Reality Developer
● Certified Chatbot Expert
● Certified Data Scientist Expert
● Certified Machine Learning Expert
● Certified Virtual Reality Developer
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