Data Engineering Podcast

NOVEMBER 4, 2021

Summary The precursor to widespread adoption of cloud data warehouses was the creation of customer data platforms. A natural outgrowth of that capability is the more recent growth of reverse ETL systems that use those analytics to feed back into the operational systems used to engage with the customer.

Data Warehouse 100

Data Warehouse Business Intelligence ETL System Data Lake 100

Grouparoo

OCTOBER 26, 2021

An ETL data pipeline extracts raw data from a source system, transforms it into a structure that can be processed by a target system, and loads the transformed data into the target, usually a database or data warehouse While the terms “data pipeline” and ETL are often used interchangeably, there are some key differences between the two.

Data Pipeline 52

Data Pipeline ETL Tools ETL System Data Warehouse 52

Grouparoo

FEBRUARY 9, 2022

ETL testing can be challenging since most ETL systems process large volumes of heterogeneous data. However, establishing clear requirements from the start can make it easier for ETL testers to perform the required tests. Stages of the ETL Testing Process The ETL testing process can be broken down into 8 different stages.

Process 52

Process ETL System Data Warehouse Metadata 52

Knowledge Hut

NOVEMBER 28, 2023

The contemporary world experiences a huge growth in cloud implementations, consequently leading to a rise in demand for data engineers and IT professionals who are well-equipped with a wide range of application and process expertise. This can be easier when you are using existing cloud services.

Data Engineering 52

Data Engineering Data Engineer Engineering Generalist 52

Striim

AUGUST 31, 2023

In conclusion, kappa architectures have revolutionized the way businesses approach big data solutions – allowing them to take advantage of cutting edge technologies while reducing costs associated with manual processes like ETL systems. Cloud-based architectures are more cost-effective but lack the control of an on-premise setup.

Data Integration 69

Data Integration Architecture Amazon Web Services ETL System 69

Precisely

APRIL 3, 2023

The Long Road from Batch to Real-Time Traditional “extract, transform, load” (ETL) systems were built under certain constraints, stemming from the cost of technology and implementation resources, as well as the inherent limits of computational power. Today’s world calls for a streaming-first approach.

ETL System 52

ETL System Transportation Architecture Manufacturing 52

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. After, they leverage the power of the cloud warehouse to perform deep analysis, build predictive models, and feed BI tools and dashboards.

ETL Tools 52

ETL Tools ETL System Data Warehouse Data Consolidation 52