Monte Carlo

JULY 22, 2024

Common Challenges in Data Versioning While data versioning offers many benefits, it also comes with its own set of challenges: Versioning Large Datasets : Managing multiple versions of large datasets can be challenging due to additional storage and performance requirements. Don’t just version your data – observe it.

Metadata 52

Metadata Datasets ETL Tools Data 52

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

Ascend.io

OCTOBER 28, 2024

Tools like Python’s requests library or ETL/ELT tools can facilitate data enrichment by automating the retrieval and merging of external data. Engineers are now embedding natural language models into data pipelines to further enhance automation and usability. Ready to see it in Action?

Raw Data 52

Raw Data Datasets Aggregated Data Data Pipeline 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

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 Engineer 52

Data Engineer Data Engineering Engineering ETL Tools 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your customer data across and between tools, you are probably already dealing with data silos -- and they likely have out-of-date data as well.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