14 new roles in Big Data
The amount of data is growing every day in huge jerks. Every day, 2.3 trillion gigabytes of data is poured into the network. By 2017, it is expected that the amount of data will increase by 800%. The more data, the higher the demand for specialists in their processing.
The science of data is developing so dynamically that every specialist has his own narrow area of ​​responsibility. Martin Jones (Martin Jones), CEO and co-founder in Cambriano Energy proposes to highlight 14 major roles in working with big data.
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This is a specialist who works with alternative data sources. It shapes the market and demand, supports the data market and constantly updates it with new values. Traders are looking for potentially valuable data, researching new flows and introducing them to the market.
Data Trader is also looking for and researching data processing tools for its customers. It evaluates and forecasts trends and conducts data purchase transactions that may become popular in the future.
Data Hound is the right hand of a trader. After the trader made a forecast for the job, Data Hound is taken. His task is to find the best, cheapest and reliable source of big data and calculate the contacts of the owners and suppliers of these same data.
Only Data Hound can infect everyone with enthusiasm and inspire to work with new data. He must be sweet and patient and possess enormous power of conviction. And only he can dispel all doubts when working with a new data portal.
This specialist designs and maintains the entire infrastructure. Ensures the delivery of data, ensures that the data goes through all stages: preparation, cleaning, analysis and presentation.
Data Plumber must make sure that the data has gone through all the processing steps and reached from the supplier to the data consumer.
Its typical areas of responsibility are:
Data Butcher works in tandem with Data Shef. He selects and prepares the necessary parts of the supplied data, which are then transferred to the chief for the date of mining, predictive analysis and visualization. Data Butcher separates interesting data from unnecessary. At the exit get high-quality, structured data, which are then analyzed. We can say that Data Butcher is a special case of a data architect.
Without a doubt - this is the most difficult and tense role. Miner is always busy with logical and physical research. It identifies and retrieves the most difficult to access data with the highest information value. Most likely, these data are very deeply buried and his task is to risk and extract them to the surface. Such data have a very high efficiency and will be used for a long time. That is why the job of a miner date will always be in demand in the world of big data.
Data Canary controls the quality of the data extracted by the miner and helps him soberly evaluate them.
When there is more data than a resource can process or when “toxic” data is introduced into a business process, then Data Pharmacist takes on its role. He must have remarkable mathematical abilities to identify problems and find a way to fix them.
Accuracy and pedantry are his main qualities. Even minor errors can lead to misuse and interpretation of data. Data Pharmacists usually work in multitasking mode and must quickly make decisions.
He should also have excellent communication skills, as he interacts daily with a lot of irritated people, consults them, answers questions and calms them down.
Data Pharmacist is a very patient, very attentive extrovert mathematician.
Also this role can be called: Data Janitor or Data Custodian. Data Caretaker takes care of data centers, clouds and data warehouses. It ensures the safety and cleanliness of storage and data.
To become such a specialist you need to have practical skills in programming in Python, data scrambling and DIY modeling. In this role, work experience is always preferable to higher education.
The main task of Data Cleaner is to identify and dispose of toxic and viral values ​​that can distort the nature of the data. They ensure that the data is clean, representative and processable.
Data Chef organizes and coordinates the work of all departments. Ideally, the Chief possesses knowledge in analytics, has solid experience in statistics and a solid understanding of the data architecture. And also a wide range of other skills that can be listed forever is entered in his resume.
Data Chef, along with Data Trader and Data Butcher, finds and selects raw raw data. And on the basis of this data, Data Chef draws up a plan for their processing and selects an analysis method, even if the data dynamically changes over time.
Data Taster is a person who tries (tests) data or information before sending it to a consumer. There is always a risk that the output data may be erroneous or misleading.
For example, Data Taster checks and confirms that the data is relevant and the models used are valid.
It can also be used for the preparation and presentation of data. Such a specialist should be very scrupulous, because the incorrect output data affect his reputation.
Simple Data Server presents data and accepts orders. He can also advise his clients on optimal data choices based on available data and preferences of other clients.
A narrator, a merry fellow and a philosopher. The main task of this person is to help the client correctly interpret the results, present and explain everything in simple and accessible language. Data Whisperer is the main empath in the big data world.
Usually this role is played by the CFO or the person following it. He should be aware of all nomenclature values ​​and all actions within the organization. He manages everything, copes with various business tasks, breaks through walls and achieves all the best for his team.
The science of data is developing so dynamically that every specialist has his own narrow area of ​​responsibility. Martin Jones (Martin Jones), CEO and co-founder in Cambriano Energy proposes to highlight 14 major roles in working with big data.
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Roles and responsibilities
Data trader
This is a specialist who works with alternative data sources. It shapes the market and demand, supports the data market and constantly updates it with new values. Traders are looking for potentially valuable data, researching new flows and introducing them to the market.
Data Trader is also looking for and researching data processing tools for its customers. It evaluates and forecasts trends and conducts data purchase transactions that may become popular in the future.
Data hound
Data Hound is the right hand of a trader. After the trader made a forecast for the job, Data Hound is taken. His task is to find the best, cheapest and reliable source of big data and calculate the contacts of the owners and suppliers of these same data.
Only Data Hound can infect everyone with enthusiasm and inspire to work with new data. He must be sweet and patient and possess enormous power of conviction. And only he can dispel all doubts when working with a new data portal.
Data plumber
This specialist designs and maintains the entire infrastructure. Ensures the delivery of data, ensures that the data goes through all stages: preparation, cleaning, analysis and presentation.
Data Plumber must make sure that the data has gone through all the processing steps and reached from the supplier to the data consumer.
Its typical areas of responsibility are:
- Knowledge of specifications and capabilities of information repositories and knowledge bases.
- Detection of errors in the operation of these systems and diagnosis of causes.
- The location and labeling of wires, adapters, ports and channels for receiving and sending data. As well as support for the correct operation of data centers.
Data butcher
Data Butcher works in tandem with Data Shef. He selects and prepares the necessary parts of the supplied data, which are then transferred to the chief for the date of mining, predictive analysis and visualization. Data Butcher separates interesting data from unnecessary. At the exit get high-quality, structured data, which are then analyzed. We can say that Data Butcher is a special case of a data architect.
Data miner
Without a doubt - this is the most difficult and tense role. Miner is always busy with logical and physical research. It identifies and retrieves the most difficult to access data with the highest information value. Most likely, these data are very deeply buried and his task is to risk and extract them to the surface. Such data have a very high efficiency and will be used for a long time. That is why the job of a miner date will always be in demand in the world of big data.
Data canary
Data Canary controls the quality of the data extracted by the miner and helps him soberly evaluate them.
Data Pharmacist
When there is more data than a resource can process or when “toxic” data is introduced into a business process, then Data Pharmacist takes on its role. He must have remarkable mathematical abilities to identify problems and find a way to fix them.
Accuracy and pedantry are his main qualities. Even minor errors can lead to misuse and interpretation of data. Data Pharmacists usually work in multitasking mode and must quickly make decisions.
He should also have excellent communication skills, as he interacts daily with a lot of irritated people, consults them, answers questions and calms them down.
Data Pharmacist is a very patient, very attentive extrovert mathematician.
Data caretaker
Also this role can be called: Data Janitor or Data Custodian. Data Caretaker takes care of data centers, clouds and data warehouses. It ensures the safety and cleanliness of storage and data.
To become such a specialist you need to have practical skills in programming in Python, data scrambling and DIY modeling. In this role, work experience is always preferable to higher education.
Data cleaner
The main task of Data Cleaner is to identify and dispose of toxic and viral values ​​that can distort the nature of the data. They ensure that the data is clean, representative and processable.
Data chef
Data Chef organizes and coordinates the work of all departments. Ideally, the Chief possesses knowledge in analytics, has solid experience in statistics and a solid understanding of the data architecture. And also a wide range of other skills that can be listed forever is entered in his resume.
Data Chef, along with Data Trader and Data Butcher, finds and selects raw raw data. And on the basis of this data, Data Chef draws up a plan for their processing and selects an analysis method, even if the data dynamically changes over time.
Data taster
Data Taster is a person who tries (tests) data or information before sending it to a consumer. There is always a risk that the output data may be erroneous or misleading.
For example, Data Taster checks and confirms that the data is relevant and the models used are valid.
It can also be used for the preparation and presentation of data. Such a specialist should be very scrupulous, because the incorrect output data affect his reputation.
Data server
Simple Data Server presents data and accepts orders. He can also advise his clients on optimal data choices based on available data and preferences of other clients.
Data whisperer
A narrator, a merry fellow and a philosopher. The main task of this person is to help the client correctly interpret the results, present and explain everything in simple and accessible language. Data Whisperer is the main empath in the big data world.
Data czar
Usually this role is played by the CFO or the person following it. He should be aware of all nomenclature values ​​and all actions within the organization. He manages everything, copes with various business tasks, breaks through walls and achieves all the best for his team.
Abstract
- By 2017, it is expected that the amount of data will increase by 800%.
- Martin Jones (Martin Jones), CEO and co-founder in Cambriano Energy proposes to highlight 14 major roles in working with big data.
Source: https://habr.com/ru/post/264359/
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