ProjectPro

JUNE 6, 2025

Big Data Engineer Salary by Skills The roles and responsibilities of a Big Data Engineer in an organization vary as per the business domain, type of the project, specific big data tools in use, IT infrastructure, technology stack, and a lot more.

Big Data 40

Big Data Data Engineering Data Engineer Engineering 40

Snowflake

JANUARY 23, 2023

A conventional data platform implemented in the cloud is still bound by the same limitations—the complexity of the platform, the need for extraction, transformation, and loading, and an inability to ingest both structured and semi-structured data.

Data Integration 85

Data Integration Data Warehouse Data Data Architect 85

Knowledge Hut

DECEMBER 26, 2023

The job of a data engineer is to develop models using machine learning to scan, label and organize this unstructured data. This process helps convert the unstructured data into structured data, which can easily be collected and interpreted using analytical tools. What is a Data Architect?

Data Engineering 98

Data Engineering Data Engineer Engineering Pipeline-centric 98

ProjectPro

JUNE 6, 2025

The data engineering role requires professionals who can build various data pipelines to enable data-driven models. Including but not limited to data analysis pipelines and machine learning models. Data Engineers' daily tasks vary and play an important role in organizations' data stability and handling.

Data Science 40

Data Science Data Engineering Data Engineer Engineering 40

Knowledge Hut

SEPTEMBER 26, 2023

These platforms provide strong capabilities for data processing, storage, and analytics, enabling companies to fully use their data assets. This makes it an excellent choice for organizations that need to analyze large volumes of structured and semi-structured data quickly and effectively.

Data Lake 52

Data Lake Database-centric Pipeline-centric Machine Learning 52

AltexSoft

MAY 12, 2023

What is unstructured data? Definition and examples Unstructured data , in its simplest form, refers to any data that does not have a pre-defined structure or organization. It can come in different forms, such as text documents, emails, images, videos, social media posts, sensor data, etc.

Unstructured Data 59

Unstructured Data NoSQL Hadoop Data Lake 59

Precisely

JANUARY 23, 2024

The authors surveyed more than 450 data and analytics professionals across a range of industries, serving in a variety of different roles. Respondents’ functional titles included everything from C-level executives to line-of-business managers, IT executives, data stewards, data architects, data managers, and data analysts.

Technology 69

Technology Data Governance Government Data Programming 69

Knowledge Hut

FEBRUARY 16, 2023

After the inception of databases like Hadoop and NoSQL, there's a constant rise in the requirement for processing unstructured or semi-structured data. Data Engineers are responsible for these tasks. Therefore we will stick to demand in the USA.

Data Engineering 52

Data Engineering Data Engineer Engineering Recruitment 52

Wayne Yaddow

FEBRUARY 26, 2025

AI-powered parsing models detect complex format inconsistencies across structured and semi-structured data. Real-World Example A senior data engineer at a SaaS company leverages an AI-powered format validation tool to ensure that CSV-to-JSON conversions preserve numeric precision.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Pipeline 52

ProjectPro

JANUARY 31, 2023

Data Variety Hadoop stores structured, semi-structured and unstructured data. RDBMS stores structured data. Data storage Hadoop stores large data sets. RDBMS stores the average amount of data. Works with only structured data. Explain the data preparation process.

Big Data 52

Big Data Hadoop Relational Database AWS 52

Knowledge Hut

DECEMBER 29, 2023

Data Mining Data science field of study, data mining is the practice of applying certain approaches to data in order to get useful information from it, which may then be used by a company to make informed choices. It separates the hidden links and patterns in the data. Data mining's usefulness varies per sector.

Data Science 98

Data Science Data Mining Deep Learning Programming Language 98

AltexSoft

MARCH 14, 2023

Data storage The tools mentioned in the previous section are instrumental in moving data to a centralized location for storage, usually, a cloud data warehouse, although data lakes are also a popular option. But this distinction has been blurred with the era of cloud data warehouses.

IT 59

IT Data Warehouse Data Governance Data Lake 59

AltexSoft

MARCH 2, 2023

Data modeling involves creating a conceptual representation of data objects and their relationships to each other, as well as the rules governing those relationships. To design an effective data governance program, it’s crucial to choose an operational model that fits your business size and structure.

Data Governance 52

Data Governance Government Programming Healthcare 52

ProjectPro

JULY 27, 2021

Relational Database Management Systems (RDBMS) Non-relational Database Management Systems Relational Databases primarily work with structured data using SQL (Structured Query Language). SQL works on data arranged in a predefined schema. Non-relational databases support dynamic schema for unstructured data.

Data Engineering 40

Data Engineering Data Engineer Engineering Hadoop 40

ProjectPro

SEPTEMBER 26, 2021

Big Data Engineer Salary by Skills The roles and responsibilities of a Big Data Engineer in an organization vary as per the business domain, type of the project, specific big data tools in use, IT infrastructure, technology stack, and a lot more.

Big Data 52

Big Data Data Engineering Data Engineer Engineering 52