Remove Artificial Intelligence Remove Data Architecture Remove Real-time Data
article thumbnail

The 8 Best Hevo Data Alternatives to Build ELT/ETL Data Pipelines in 2025

Astera

What is one thing all artificial intelligence (AI), business intelligence (BI), analytics, and data science initiatives have in common? They all need data pipelines for a seamless flow of high-quality data. Wide Source Integration: The platform supports connections to over 150 data sources.

article thumbnail

What is Data Modernization? Benefits, Importance & Components

Astera

Modernizing data infrastructure allows organizations to position themselves to secure their data, operate more efficiently, and innovate in a competitive marketplace. Improve Data Access and Usability Modernizing data infrastructure involves transitioning to systems that enable real-time data access and analysis.

Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

Data Vault 2.0: What You Need to Know

Astera

It’s designed to efficiently handle and process vast volumes of diverse data, providing a unified and organized view of information. With its ability to adapt to changing data types and offer real-time data processing capabilities, it empowers businesses to make timely, data-driven decisions.

article thumbnail

10 Best Informatica Alternatives & Competitors in 2024

Astera

Top Informatica Alternatives to Consider in 2024 Astera Astera is an end-to-end, automated data management and integration platform powered by artificial intelligence (AI). The tool enables users of all backgrounds to build their own data pipelines within minutes. Error-handling and available documentation lack depth.

article thumbnail

10 Best Informatica Alternatives & Competitors in 2024

Astera

Top Informatica Alternatives to Consider in 2024 Astera Astera is an end-to-end, automated data management and integration platform powered by artificial intelligence (AI). The tool enables users of all backgrounds to build their own data pipelines within minutes. Error-handling and available documentation lack depth.

article thumbnail

5 Takeaways from the Gartner Catalyst Conference

Domo

Conversely, people on the business side routinely agreed that they wished they had better access to the data that’s in their organization—or that it wasn’t such an arduous process to get it. Both sides were very interested to see how we can automate that process.

article thumbnail

AI’s New Superpower: Riding the Wave of Real-Time Data

Dataversity

A world where machine learning models arent stuck reminiscing about last years data, but are instead surfing the cutting edge of now.