What does the data engineering do.
SHOAIB SHAIK
?? Published author, AI and Deep learning; fascinated with technology with a deep passion to use technology to make the world a better place. Time, space, Quantum computing are traits I am happy to be involved.
data engineer do a set of operations aimed at creating interface and mechanisms for flow and access of the information, it takes dedicated specialists data engineer to maintain data so that it remains available and used by others. which is in short the organising the data infra and preparing it for the further analysis by data analyst and scientists
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Data engineering is all about the movement, manipulation, and management of data
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Data engineering is the development, implementation, and maintenance of systems and processes that take in raw data and produce high-quality, consistent information that supports downstream use cases, such as analysis and machine learning. Data engineering is the intersection of security, data management, DataOps, data architecture, orchestration, and software engineering. A data engineer manages the data engineering lifecycle, beginning with getting data from source systems and ending with serving data for use cases, such as analysis or machine learning.
·?????? what data engineer need to focus
SQL
ETL Tools
领英推荐
Big data Technology : hadoop, casandra spark and flink
data engineering is also contians the area that are security, data management data ops, data artich, orchestration.
·?????? How technically the flow of data look like
·?????? Skill and Activities.
The skill set of a data engineer encompasses the “undercurrents” of data engineering: security, data management, DataOps, data architecture, and software engineering.
·?????? Miss-conceptions of data engineering
A data engineer typically does not directly build ML models, create reports or dashboards, perform data analysis, build key performance indicators (KPIs), or develop software applications. A data engineer should have a good functioning understanding of these areas to serve stakeholders best.
·?????? Data maturity is the progression toward higher data utilization, capabilities, and integration across the organization, but data maturity does not simply depend on the age or revenue of a company. An early-stage startup can have greater data maturity than a 100-year-old company with annual revenues in the billions. What matters is the way data is leveraged as a competitive advantage.
Founder @ Bridge2IT +32 471 26 11 22 | Business Analyst @ Carrefour Finance
4 个月?? What Does Data Engineering Do? explains the vital role data engineers play in building and maintaining the infrastructure that enables data-driven insights. Data engineers are responsible for designing, constructing, and managing data pipelines that collect, clean, and organize raw data, making it accessible and ready for analysis. Their work supports data scientists, analysts, and AI models by ensuring data flows smoothly and reliably from various sources into storage systems and data warehouses. ?? Key tasks include data ingestion, transformation, storage, and optimization, making data engineers essential for companies aiming to harness data for strategic advantage. ????