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. Stream processors, storage layers, message brokers, and databases make up the basic components of this architecture.

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

Ascend.io

DECEMBER 21, 2022

Now, data teams are embracing a new approach: reverse ETL. Cloud data warehouses, such as Snowflake and BigQuery, have made it simpler than ever to combine all of your data into one location. Today, data teams build ELT pipelines to load the data. We swapped the “L” and “T”. Second, it takes time.

ETL Tools 52

ETL Tools ETL System Data Warehouse Data Consolidation 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

Grouparoo

OCTOBER 26, 2021

A data pipeline typically consists of three main elements: an origin, a set of processing steps, and a destination. Data pipelines are key in enabling the efficient transfer of data between systems for data integration and other purposes. Thus, ETL systems are a subset of the broader term, “data pipeline”.

Data Pipeline 52

Data Pipeline ETL Tools ETL System Data Warehouse 52

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? Today, cloud data platforms like Snowflake, Databricks, Amazon Redshift, and others have changed the game.

ETL System 52

ETL System Transportation Architecture Manufacturing 52

ProjectPro

NOVEMBER 30, 2021

ETL (Extract, Transform, and Load) Pipeline involves data extraction from multiple sources like transaction databases, APIs, or other business systems, transforming it, and loading it into a cloud-hosted database or a cloud data warehouse for deeper analytics and business intelligence.

Process 52

Process Data Pipeline Data Warehouse AWS 52