Grouparoo

OCTOBER 26, 2021

As a result, data has to be moved between the source and destination systems and this is usually done with the aid of data pipelines. What is a Data Pipeline? A data pipeline is a set of processes that enable the movement and transformation of data from different sources to destinations.

Data Pipeline 52

Data Pipeline ETL Tools ETL System Data Warehouse 52

Grouparoo

FEBRUARY 9, 2022

The testing process is often performed during the initial setup of a data warehouse after new data sources are added to a pipeline and after data integration and migration projects. ETL testing can be challenging since most ETL systems process large volumes of heterogeneous data.

Process 52

Process ETL System Data Warehouse Metadata 52

Striim

AUGUST 31, 2023

Showing how Kappa unifies batch and streaming pipelines The development of Kappa architecture has revolutionized data processing by allowing users to quickly and cost-effectively reduce data integration costs.

Data Integration 69

Data Integration Architecture Amazon Web Services ETL System 69

Data Engineering Podcast

JANUARY 7, 2022

Summary Reverse ETL is a product category that evolved from the landscape of customer data platforms with a number of companies offering their own implementation of it. StreamSets DataOps Platform is the world’s first single platform for building smart data pipelines across hybrid and multi-cloud architectures.

ETL System 100

ETL System Data Pipeline Data Warehouse Architecture 100

Precisely

APRIL 3, 2023

How can an organization enable flexible digital modernization that brings together information from multiple data sources, while still maintaining trust in the integrity of that data? Court documents and case dockets were stored on a mainframe system, where they were inaccessible to the public at large.

ETL System 52

ETL System Transportation Architecture Manufacturing 52

ProjectPro

NOVEMBER 30, 2021

This guide provides definitions, a step-by-step tutorial, and a few best practices to help you understand ETL pipelines and how they differ from data pipelines. The crux of all data-driven solutions or business decision-making lies in how well the respective businesses collect, transform, and store data.

Process 52

Process Data Pipeline Data Warehouse AWS 52

Monte Carlo

MAY 17, 2023

Stop Revenue Bleeding System Modernization and Optimization 33. Data Warehouse (Or Lakehouse) Migration 34. Integrate Data Stacks Post Merger 35. Know When To Fix Vs. Refactor Data Pipelines Improve DataOps Processes 37. Analyze Data Incident Impact and Triage 39. Conduct Pre-Mortems 38.

Data 52

Data Data Pipeline Data Engineering Data Engineer 52