SUNNYVALE, Calif., Feb. 23, 2011 (GLOBE NEWSWIRE) -- Queplix™ Corp., a leader in data virtualization, today announced two new product families that bring the power of data virtualization to the ...

Companies have valuable data languishing unused in multiple areas; moving that information from one place to another--either from application to application or into a data warehouse--is the job of ...

ETL (extract, transform, load) migration is often treated as an afterthought when companies plan the migration of their on-prem data warehouses and data lakes to the cloud. Of course, ETL pipelines — ...

The Cloud ETL (Extract, Transform, Load) Tool Market was valued at USD 2.8 billion in 2024 and is projected to reach USD 10.5 billion by 2033, exhibiting a CAGR of 16.4% from 2026 to 2033. This ...

The extract, transform, and load phases of ETL typically involve multiple tasks, each of which can be executed independently. This means you can develop each task as a microservice. Companies generate ...

Databricks, AWS and Google Cloud are among the top ETL tools for seamless data integration, featuring AI, real-time processing and visual mapping to enhance business intelligence. Extract, transform ...

eSpeaks host Corey Noles sits down with Qualcomm's Craig Tellalian to explore a workplace computing transformation: the rise of AI-ready PCs. Matt Hillary, VP of Security and CISO at Drata, details ...

A data integration process that collects data from multiple sources, converts it into a standardized format, and loads it into a target system such as a data warehouse or database.

The latest trends and issues around the use of open source software in the enterprise. Alfresco Software has updated its open source process automation, content management and information governance ...

Data rarely comes in usable form. Data wrangling and exploratory data analysis are the difference between a good data science model and garbage in, garbage out. Novice data scientists sometimes have ...