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

Precisely

MARCH 14, 2023

Read Quality data you can depend on – today, tomorrow, and beyond For many years Precisely customers have ensured the accuracy of data across their organizations by leveraging our leading data solutions including Trillium Quality, Spectrum Quality, and Data360 DQ+. What does all this mean for your business?

Data Integration 52

Data Integration High Quality Data BI Data 52

Monte Carlo

FEBRUARY 27, 2024

Organizations need to connect LLMs with their proprietary data and business context to actually create value for their customers and employees. They need robust data pipelines, high-quality data, well-guarded privacy, and cost-effective scalability. Data engineers. Who can deliver?

Data Engineering 59

Data Engineering Data Engineer Engineering High Quality Data 59

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

Monte Carlo

AUGUST 8, 2023

From this perspective, the data validation process looks a lot like any other DataOps process. In Excel you can select the field, select data validation under the data tab, select the decimal option under Allow. For example, you can use SQL queries to check for data freshness.

Data Validation 52

Data Validation Data Pipeline SQL Data 52

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.

Certification 52

Certification Data Engineering Data Engineer Engineering 52