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

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.

Data Integration 69

Data Integration Architecture Amazon Web Services ETL System 69

Monte Carlo

APRIL 12, 2023

Oftentimes these ETL systems come under considerable pressure as all of your stakeholders want to look at every metric a million different ways with sub second latency. The metrics layer requires constant addition, pruning, and governance.

Data 52

Data Programming ETL System Media 52

Monte Carlo

MAY 17, 2023

We had too many manual data checks by operations and data analysts,” said Otávio Bastos, former global data governance lead, Contentsquare. “It Oftentimes these ETL systems come under considerable pressure as all of your stakeholders want to look at every metric a million different ways with sub second latency.

Data 52

Data Data Pipeline Data Engineering Data Engineer 52

Monte Carlo

MAY 17, 2023

We had too many manual data checks by operations and data analysts,” said Otávio Bastos, former global data governance lead, Contentsquare. “It Oftentimes these ETL systems come under considerable pressure as all of your stakeholders want to look at every metric a million different ways with sub second latency.

Data Pipeline 52

Data Pipeline Data Data Engineering Data Engineer 52

ProjectPro

NOVEMBER 30, 2021

Incremental Extraction Each time a data extraction process runs (such as an ETL pipeline), only new data and data that has changed from the last time are collected—for example, collecting data through an API. Loading transformed data directly into a data warehouse or other target systems is not recommended.

Process 52

Process Data Pipeline Data Warehouse AWS 52