Why Error Handling Needs to Be Part of Data Integration
Error handling is crucial for successful data integration, but error handling isn’t easy, which is why it is often overlooked.
Topic: Big data platforms
What Does a Hybrid Environment Mean in a Modern World
Organizations need an easy, scalable, and secure way to integrate many data sources across hybrid environments. A suitable solution must support enterprise …
Real-time Analytics News for Week Ending August 20
In this week's real-time analytics news: Cloudera announced the launch of Cloudera Data Platform (CDP) One, an all-in-one data lakehouse SaaS offering for …
Create Control Without Constraint in Distributed Data Management
Most data stacks begin governance at the warehouse, but they don't know where that ELT data came from and what the context and source is. We need to fix
The Unstructured Data Management Maturity Index
As data management matures, unstructured data evolves from being a storage cost center to sitting at the epicenter of value
5 Steps to Bring Legacy ERP Systems Up-to-Date
A modern ERP system provides the opportunity to add artificial intelligence (AI) to automate key analytic processes, making it quicker for employees to make …
Real-time Analytics News for Week Ending July 9
In this week's real-time analytics news: As expected, few announcements were made during the holiday week. But what’s important is quality, not quantity.
Real-time Analytics News for Week Ending July 2
In this week's real-time analytics news: Databricks announced new features and enhancements to its offerings at its annual Data + AI Summit.
From Data Warehouse to Data Mesh: Usable Data is Still Key
A data mesh flips the script on centralization and having a monolithic data structure by decentralizing data management to the various business domains across …
Real-time Data and Database Design: Why You Should Sweat the Small Stuff
Picking the right database when there are so many available should not just be a case of using whatever was easy for your last project.