Striim

AUGUST 31, 2023

Kappa Architecture combines streaming and batch while simultaneously turning data warehouses and data lakes into near real-time sources of truth. Overview of kappa architecture Kappa architecture is a powerful data processing architecture that enables near-real-time data processing.

Data Integration 69

Data Integration Architecture Amazon Web Services Machine Learning 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

Grouparoo

FEBRUARY 9, 2022

ETL testing is also used to verify that the ETL process runs smoothly without any bottlenecks or major performance issues. 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.

Process 52

Process ETL System Data Warehouse Metadata 52

Ascend.io

DECEMBER 21, 2022

The last three years have seen a remarkable change in data infrastructure. ETL changed towards ELT. 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.

ETL Tools 52

ETL Tools ETL System Data Warehouse Data Consolidation 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 Data Warehouse ETL System 52

ProjectPro

SEPTEMBER 30, 2014

The conventional ETL software and server setup are plagued by problems related to scalability and cost overruns, which are ably addressed by Hadoop. Reason Two: Handle Big Data Efficiently The emergence of needs and tools of ETL proceeded the Big Data era.

Hadoop 52

Hadoop ETL Tools Unstructured Data ETL System 52

ProjectPro

NOVEMBER 30, 2021

That's where the ETL (Extract, Transform, and Load) pipeline comes into the picture! Table of Contents What is ETL Pipeline? First, we will start with understanding the Data pipelines with a straightforward layman's example. Now let us try to understand ETL data pipelines in more detail.

Process 52

Process Data Warehouse Data Pipeline AWS 52