Data Integration | News, how-tos, features, reviews, and videos
The deal is described by IBM as a ‘natural fit’ for its hybrid cloud and AI strategy.
A modern AI-enabled iPaaS solution that supports collaborative workflow design and management can break down silos between IT and business teams and propel automation initiatives forward.
Importing, transforming, and validating data from unmanaged external sources is a messy, complex process. A data exchange platform can help.
Fabric updates announced at Build 2024 also include Snowflake and Databricks integrations and the general availability of Copilot for Power BI.
Apache Airflow is a great data pipeline as code, but having most of its contributors work for Astronomer is another example of a problem with open source.
Large language models can reshape business processes by automating substantial portions of complex tasks. But they can’t do it alone.
Microsoft Fabric is an end-to-end suite of cloud-based tools for data analytics, encompassing data movement, data storage, data engineering, data integration, data science, real-time analytics, and business intelligence.
GenAI Builder allows business users to create LLM-powered applications and workflows for customers, employees, and partners from enterprise data sources.
GenAI offers an opportunity to make data integration and business process automation not only easier to implement, but accessible to non-technical staff. That spells relief for IT teams.
Data-driven decision-making suffers from a mismatch between the tools, skills, and understanding of IT and data consumers in most enterprises. Here’s how to bridge the gap.
Stemma offers integrations with data warehouses, business intelligence tools, collaboration software and security tools.
While Apache Kafka is slowly introducing KRaft to simplify its approach to consistency, systems built on Raft show more promise for tomorrow’s hyper-gig workloads.
Without proper data governance, interoperability, and access control, enterprises have no hope of maximizing the business value of their data.