U-Next

MARCH 1, 2023

The data engineering process involves the creation of systems that enable the collection and utilization of data. Analyzing this data often involves Machine Learning, a part of Data Science. What is a data warehouse? How does a data warehouse differ from a database?

Data Engineering 75

Data Engineering Data Engineer Non-relational Database Engineering 75

Knowledge Hut

JUNE 23, 2023

Data warehousing to aggregate unstructured data collected from multiple sources. Data architecture to tackle datasets and the relationship between processes and applications. Coding helps you link your database and work with all programming languages.

Data Engineering 52

Data Engineering Data Engineer Engineering Non-relational Database 52

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

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. Pros: It works across various platforms.

Database 52

Database MySQL SQL Relational Database 52

ProjectPro

JANUARY 31, 2023

There are three steps involved in the deployment of a big data model: Data Ingestion: This is the first step in deploying a big data model - Data ingestion, i.e., extracting data from multiple data sources. It ensures that the data collected from cloud sources or local databases is complete and accurate.

Big Data 52

Big Data Hadoop AWS Relational Database 52

U-Next

AUGUST 3, 2022

The following duties are frequently handled by Data Scientists, even though each data research situation is unique and their tasks change based on the project. Gathering data Any Data Science experiment must include data collecting since, without data to work with, one cannot be a Data Scientist.

Retail 52

Retail Data Science Computer Science Entertainment 52

AltexSoft

NOVEMBER 23, 2021

TIBCO Data Virtualization is another powerful tool in the list to help you build a virtual data layer from multiple types of data sources. To join data together from non-relational databases and other unstructured sources, TIBCO has the built-in transformation engine doing all the jobs.

Process 69

Process Data Lake Metadata Data Warehouse 69