AltexSoft

JUNE 26, 2023

While today’s world abounds with data, gathering valuable information presents a lot of organizational and technical challenges, which we are going to address in this article. We’ll particularly explore data collection approaches and tools for analytics and machine learning projects. What is data collection?

Data Collection 52

Data Collection Machine Learning Unstructured Data Non-relational Database 52

U-Next

MARCH 1, 2023

It’s not just the data itself that is important, but also how that data can be used to make better decisions. A data engineer will often work closely with other departments within a company to find out what information they need and how they want it presented, as well as work directly with business analysts or IT specialists.

Data Engineering 75

Data Engineering Data Engineer Non-relational Database Engineering 75

Knowledge Hut

JUNE 23, 2023

Collaboration data engineer skills to work well with others and to exhibit an open mind about ideas presented by others. Data warehousing to aggregate unstructured data collected from multiple sources. Data architecture to tackle datasets and the relationship between processes and applications.

Data Engineering 52

Data Engineering Data Engineer Engineering Non-relational Database 52

AltexSoft

NOVEMBER 23, 2021

As a result, data virtualization enabled the company to conduct advanced analytics and data science, contributing to the growth of the business. Global investment bank: Cost reduction with more scalable and effective data management. How data virtualization works: Main architecture layers.

Process 69

Process Data Lake Metadata Data Warehouse 69

Knowledge Hut

DECEMBER 28, 2023

Businesses utilize relational databases to store information in a tabular format. On the other hand, non-relational databases are less structured and can store data in numerous formats like documents, key-value pairs, graphs, and more. As this can easily handle and maintain big databases.

Database 52

Database MySQL SQL Relational Database 52

ProjectPro

JANUARY 31, 2023

Veracity: Veracity relates to the accuracy of the analyzed data. It refers to how reliable the data is or, to put it another way, the quality of the data analyzed. Visualization: Visualization refers to the presentation of data to the management for decision-making purposes. How to deploy a Big Data Model?

Big Data 52

Big Data Hadoop Relational Database AWS 52

ProjectPro

JULY 27, 2021

Data Engineer Interview Questions on Big Data Any organization that relies on data must perform big data engineering to stand out from the crowd. But data collection, storage, and large-scale data processing are only the first steps in the complex process of big data analysis.

Data Engineering 40

Data Engineering Data Engineer Engineering Hadoop 40