Knowledge Hut

DECEMBER 26, 2023

Relational and non-relational databases, such as RDBMS, NoSQL, and NewSQL databases. Learn about the fundamental APIs of Spark: DataFrames, SQL, and Datasets using practical examples Explore Spark's low-level APIs, RDDs, and SQL and DataFrame execution. Learn how Spark functions on a cluster.

Big Data 75

Big Data Data Mining Business Intelligence Machine Learning 75

Cloud Academy

JANUARY 27, 2022

Data engineers are responsible for transforming data into an easily accessible format, identifying trends in data sets, and creating algorithms to make the raw data more useful for business units. The architecture can include relational or non-relational data sources, as well as proprietary systems and processing tools.

Certification 52

Certification Data Engineering Data Engineer Engineering 52

ProjectPro

JULY 27, 2021

Differentiate between relational and non-relational database management systems. Relational Database Management Systems (RDBMS) Non-relational Database Management Systems Relational Databases primarily work with structured data using SQL (Structured Query Language).

Data Engineering 40

Data Engineering Data Engineer Engineering Hadoop 40

AltexSoft

JUNE 26, 2023

Data collection is a methodical practice aimed at acquiring meaningful information to build a consistent and complete dataset for a specific business purpose — such as decision-making, answering research questions, or strategic planning. Our experience shows that you definitely need both internal and external data to make accurate forecasts.

Data Collection 52

Data Collection Machine Learning Unstructured Data Non-relational Database 52

AltexSoft

NOVEMBER 23, 2021

To break data silos and speed up access to all enterprise information, organizations can opt for an advanced data integration technique known as data virtualization. In simple terms, data remains in original sources while users can access and analyze it virtually via special middleware. Real-time access. Single point of failure.

Process 69

Process Data Lake Metadata Data Warehouse 69

U-Next

AUGUST 3, 2022

This definition is rather wide because Data Science is, undoubtedly, a somewhat vast discipline! Database Management: A Data Scientist has to have a solid understanding of data processing and data managerial staff, in addition to being skilled with machine learning and statistical models. Non-Technical Competencies.

Retail 52

Retail Data Science Computer Science Entertainment 52