Data Engineering Podcast

APRIL 14, 2024

The default association with the term "database" is relational engines, but non-relational engines are also used quite widely. In this episode Oren Eini, CEO and creator of RavenDB, explores the nuances of relational vs. non-relational engines, and the strategies for designing a non-relational database.

Non-relational Database 147

Non-relational Database Relational Database Database Designing 147

Monte Carlo

JANUARY 5, 2024

This starts at the data source. Ingestion layer The ingestion layer in data lakehouse architecture extracts data from various sources, including transactional and relational databases, APIs, real-time data streams, CRM applications, NoSQL databases, and more, and brings them into the data lake.

Architecture 52

Architecture Data Lake Metadata Unstructured Data 52

Monte Carlo

JANUARY 5, 2024

This starts at the data source. Ingestion layer The ingestion layer in data lakehouse architecture extracts data from various sources, including transactional and relational databases, APIs, real-time data streams, CRM applications, NoSQL databases, and more, and brings them into the data lake.

Architecture 52

Architecture Data Lake Metadata Unstructured Data 52

U-Next

FEBRUARY 27, 2023

Now, let’s understand why data normalization is important. As a whole, data normalization plays an essential role in business for those who have to deal with large datasets as a part of their daily operations. The post What Is Data Normalization, and Why Is It Important? appeared first on UNext.

IT 98

IT Bytes Database Recruitment 98

U-Next

MARCH 7, 2023

Now, let’s understand why data normalization is important. As a whole, data normalization plays an essential role in business for those who have to deal with large datasets as a part of their daily operations. The post What Is Data Normalization, and Why Is It Important? appeared first on UNext.

IT 98

IT Bytes Database Recruitment 98

ProjectPro

FEBRUARY 21, 2023

Google Cloud Certified Professional Data Engineer Certifications An individual is fit for taking the GCP Data Engineering certification exam if he/she- Has more than three years of prior data engineering experience, including at least one year of solution design and management using Google Cloud. big data and ETL tools, etc.

Certification 52

Certification Data Engineering Data Engineer Engineering 52