What Is Big Data Engineer? Things You Should Know Before Becoming Data Engineer In 2022
Introduction To Big Data Engineer
In this article you will know what is BIG DATA and how to become a BIG DATA ENGINEER?Before understanding Big Data, you need to recognize the facts. Data is facts, this is in standard facts Is information which may be in any shape in case you read the newspaper,books magazine, that is additionally data that is written on papers. And if we communicate about this information in virtual shape , then it is prepared and processed with the aid of using the computer i.e. an activity completed in Digitally, a fact which you send, like an email, picture, video, those additional data. You can take this submit as an example of data itself.
What Is Big Data Engineer ? ( Definition of Big Data )
Big Data meaning consists of a very huge shape of records. Which is the aggregate form of various small datas, in which we get big data due to continuous growth. It is found in different formats which cannot be handled by traditional Big Data tools and applications. Due to continuous increase in the size of this data, we need new technologies to handle it, that is Big Data is a very large form of data.
Production Of Big Data
2.5 Quintillion Bytes data is generated per day. Social media platform actually have a huge and critical contribution withinside the manufacturing of Big Data, in addition all of the tour businesses, hospitalities of the arena collectively produce many petabytes of statistics each day, although this data isn’t important to common person, however this statistics is of excellent significance to companies, new businesses and technical groups of public. Big organizations collect this Big Data from various sources for their use, give information out of it and promote their business. Basically, production of Big Data comes from two sources: Machine and Humans.
Machine Made Data : This is the data which is generated by machines like computers and others, example computer logs and application logs.
Man Made Data : This data is produced by humans, we use different social platforms for sharing images, texts, video, voice mail, email etc through facebook, instagram, twitter, gmail etc. these all information are called data.
HISTORY OF BIG DATA
The records of Big Data are very old, initially Big Data became utilized in 1663, this was the duration when Bubonic Plague unfold in Europe and John Gruant began doing research on it, on this connection John Graunt confronted a big quantity of information. At the time of 1880 it became visible as a huge problem to address Big Data, at that point the US Census Bureau introduced that it might take eight year to address and process the accumulated data. In 1881 someone from Hermann Hollerith Buero found a machine named “Hollerith Tabulating” invented .This gadget substantially simplified the task of census.
TYPES BIG DATA
Data is infinite and data is found in many formats but for better understanding we can say that data is basically divided into three categories. Structured, Un-Structured, Semi-Structured.
STRUCTURED DATA
Any information that can be stored, accessed and processed in a fixed layout is known as Structured Data. Structured Data is appropriate to work with. Over time,In this contemporary world in which computer science has advanced new techniques for strolling with such information . Structured Data includes certain fields that suggest particular data, like names, phone numbers, spreadsheets which have columns and rows to keep information in a scientific manner for future access and uses. The records that are stored in RDBMS(relational database management system) are also structured data. Take a simple example of structured data, of mobile numbers and names recorded.
How To Become BIG DATA ENGINEER?
Want to become a Big Data Engineer? then this place is perfect for you simplifying skills providing you a great opportunity to become a Big Data Engineer, want to know how? Get registered at a simplifying skills fellowship program and enhance your skills to become a certified “Big Data Engineer” .
Career And Salary In Big Data Engineering ?
After completion of Big Data Engineering study, Different fields offer you many job placements. Let’s have a look at some important job profiles and salaries.
- Data Scientist Average Package would be 10–12 LPA.
- Big Data Engineer Average Package would be 7–8 LPA.
- Machine Learning Scientist Average Package would be 5–7 LPA.
- Business Intelligence Analyst Average Package would be 7–10 LPA.
- Data Architect Average Package would be 20–25 LPA.
- Data & Analytics Manager Average Package would be 17–20 LPA.
NOTE: Job profiles and their average salary as per glassdoor.co.in.
