Databand.ai

AUGUST 30, 2023

Besides these categories, specialized solutions tailored specifically for particular domains or use cases also exist, such as extract, transform and load (ETL) tools for managing data pipelines, data integration tools for combining information from disparate sources or systems and more.

Data Cleanse 52

Data Cleanse Data Pipeline Datasets Data Validation 52

Silectis

DECEMBER 15, 2020

Additionally, Magpie reduces your team’s IT complexity by eliminating the need to use separate data catalog, data exploration, and ETL tools. The whole data engineering process takes place directly within the platform, and eliminates the need to switch between different systems and tools. Or your team?

Data Engineering 52

Data Engineering Data Engineer Engineering ETL Tools 52

Monte Carlo

APRIL 4, 2023

Today, I’m excited to announce Monte Carlo’s new Fivetran integration , giving mutual customers the ability to accelerate data incident detection and resolution by adding monitoring to data pipelines at the point of creation.

ETL Tools 52

ETL Tools Data Pipeline Business Intelligence Data Warehouse 52

Monte Carlo

APRIL 4, 2023

Today, I’m excited to announce Monte Carlo’s new Fivetran integration , giving mutual customers the ability to accelerate data incident detection and resolution by adding monitoring to data pipelines at the point of creation.

ETL Tools 52

ETL Tools Data Pipeline Business Intelligence Data Warehouse 52

Grouparoo

AUGUST 24, 2021

If you aren’t actively trying to integrate your customer data across and between tools, you are probably already dealing with data silos -- and they likely have out-of-date data as well. You need to be sure that your customer data integration is re-importing your data regularly. . |

Data Integration 52

Data Integration Data Consolidation Data Warehouse ETL Tools 52

AltexSoft

OCTOBER 8, 2021

To make a more informed decision, enquire about demos and do your own in-depth research. Oracle Data Integrator, IBM InfoSphere, Snaplogic, Xplenty, and. Before we start comparing these solutions face to face, it’s worth noting that all of them support extract, transform, load (ETL) and extract, load, transform (ELT) patterns.

Data Integration 52

Data Integration Hadoop Data Warehouse Data Lake 52

AltexSoft

SEPTEMBER 10, 2021

Integrating data sources is beneficial in lots of ways but it won’t happen magically all by itself. You will most likely need the help of data engineers , ETL developers , or other specialists involved in building data pipelines. Also, you are unlikely to do without a suitable data integration tool or platform.

Data Integration 52

Data Integration Data Consolidation Data Warehouse BI 52