Data Mastermind is the New Data Engineer
A data mastermind is one who brings data science and data engineering into the picture and multiplies them together.
A few decades before, data was only used in transaction processes and for ledger entries. So data was considered to be an average entity 20 years back, but eventually, it has become more important nowadays. Every company has started picking data from different sources of social media. Each company is looking to optimize capital expenditure. We have data, we have business problems also, where we lack is to find a true professional for this. It is quite a messy job to transfer data to machine learning and I see a huge aspiration for a career in data science. Last decade data science was in a boom, but now it’s the era of Data Engineers.
Data engineering is the ability to tame the data. It is important to be a data mastermind to have the ability to energize it. How have the requirements in this profession changed?
Demand for Data Engineer in the Industry
We are in a compounding world and not in a linear one. The way data is getting produced is immensely huge. It is said that software is eating the whole world. AI will eat software in the next 20 years. Only the type of problems which were being solved before are different from now. When opportunities will grow, the demand for people will also grow. Things don’t change massively but they give indications. There you need compound learning. Ata Engineer needs to understand technology plus industry. Knowledge of data and AI will help you build for your future.
A Data mastermind works on data, extract and then builds ML models and tools as per requirement. They must deal with structured and unstructured data, SQL, python
They should also have a deep understanding of ML and AI. A data engineer should be capable of understanding algorithms, prediction, pattern recognition, and neural networks.
The roles for the future Data Engineer would mead to following 3 main skill sets
- Data Science
- Data Engineer
- Business & Domain Analysis.
Steps for Data Engineer-
A proper methodical approach is very important.
phData is the perfect mix of services and automation to create solid data platforms, outstanding data products, and value-generating machine learning systems in the cloud. phData guides the world’s largest brands in cloud data platforms, data engineering, data science, and machine learning.
Omdena is a global platform bridging mission-driven organizations with AI engineers, data scientists, and domain experts from diverse backgrounds to solve real-world problems.
Echo State AB, a company specializing in AI to create business value. Data Engineering, Data Science and Data Translation are their main disciplines.
Narrator a platform that can generate any table for BI, reporting, and analysis using JUST that data model. Head to our website to learn more about Narrator’s core innovation and how it’s possible to manage all your data with only one data model.
