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

Striim

APRIL 30, 2024

Striim’s Solution Kramp adopted Striim for its powerful, mature real-time data integration, seamlessly connecting diverse databases like Oracle, Microsoft, and Postgres, to ensure continuous, high-quality data replication essential for forecasting and order management.

Google Cloud 52

Google Cloud High Quality Data Business Intelligence Data Warehouse 52

U-Next

FEBRUARY 27, 2023

Data normalization is the process of organizing and transforming data to improve its structural integrity, accuracy, and consistency. Data normalization is also an important part of database design. Data normalization is adopted because it helps to ensure that data will be consistent.

IT 98

IT Bytes Database Recruitment 98

U-Next

MARCH 7, 2023

Data normalization is the process of organizing and transforming data to improve its structural integrity, accuracy, and consistency. Data normalization is also an important part of database design. Data normalization is adopted because it helps to ensure that data will be consistent.

IT 98

IT Bytes Database Recruitment 98

Data Engineering Podcast

JUNE 29, 2020

This was a great conversation about the complexities of working in a niche domain of data analysis and how to build a pipeline of high quality data from collection to analysis. The team at Audio Analytic are working to impart a sense of hearing to our myriad devices with their sound recognition technology.

Data Collection 100

Data Collection Management High Quality Data Metadata 100

Workfall

JULY 4, 2023

With DBT, they weave powerful SQL spells to create data models that capture the essence of their organization’s information. DBT’s superpowers include seamlessly connecting with databases and data warehouses, performing amazing transformations, and effortlessly managing dependencies to ensure high-quality data.

Data Warehouse 69

Data Warehouse SQL PostgreSQL Database 69

Knowledge Hut

APRIL 23, 2024

Each data point provides a specific value or attribute that contributes to the overall understanding and analysis of the data. On the other hand, data sources pertain to the origins or locations from which the data is collected. Identify Pertinent Data Sources: Determine the available data sources at your disposal.

Big Data 52

Big Data Media Datasets Unstructured Data 52