This is a five-part series of articles examining five critical mistakes organizations face when building a cloud architecture, and how those mistakes can lead to soaring costs and inefficient – even risky – data management. In making their digital transformations, organizations too often lose visibility and control of their data right from the beginning. They can […]
Observability: Traceability for Distributed Systems
Have you ever waited for that one expensive parcel that shows “shipped,” but you have no clue where it is? The tracking history stopped updating five days ago, and you have almost lost hope. But wait, 11 days later, you have it at your doorstep. You wished the traceability could have been better to relieve […]
Data Pipelines: An Overview
Just as vendors rely on U.S. mail or UPS to get their goods to customers, workers count on data pipelines to deliver the information they need to gain business insights and make decisions. This network of data channels, operating in the background, distributes processed data across computer systems, an essential framework and function for any data-driven […]
Data Literacy Training for Data Engineers
It may seem counterintuitive to think of data engineers needing to improve Data Literacy, the ability to read, work with, analyze, and argue with data. After all, data engineers apply technical Data Literacy skills to build and optimize operating systems and pipeline channels. At the same time, data engineers show gaps in using organizational Data Literacy and communicating […]
Data Architecture Trends in 2023
With the onset of the pandemic, global businesses began to realize the power of operational efficiency, scalability, and growth. With this realization came the crucial need to shift their data centers to managed service ecosystems – cloud platforms in all their variations. However, locating a suitable data center partner on the cloud has not been an […]
How to Assess Data Quality Readiness for Modern Data Pipelines
For growth-minded organizations, the ability to effectively respond to market conditions, competitive pressures, and customer expectations is dependent on one key asset: data. But having just massive troves of data isn’t enough. The key to being truly data-driven is having access to accurate, complete, and reliable data. In fact, Gartner recently found that organizations believe […]
Data Lakehouses: The Future Of Data Migration
It’s no surprise that, in 2023, business enterprises want to become truly data-driven organizations. For many of these organizations, the path toward becoming more data-driven lies in the power of data lakehouses, which combine elements of data warehouse architecture with data lakes. Data lakehouse architecture is particularly attractive to businesses that want to more rapidly […]
What Is a Data Lakehouse?
A data lakehouse is a data storage space containing unstructured and structured data. While data warehouses can store structured data and data lakes are designed for unstructured data, the data lakehouse was developed to provide a resource for both types of data. Data lakehouses allow users to combine the structure and features of a data warehouse with the low-cost […]
Without Trusted Core Data, Data Mesh Is Data Meh
Organizations seeking responsive and sustainable solutions to their growing data challenges increasingly lean on architectural approaches such as data mesh to deliver information quickly and efficiently. Data mesh and other virtual data approaches connect, unify information, and make it available across numerous data silos and warehouses to get it efficiently into the hands of analysts and other […]
How Reverse ETL Powers Modern Customer Marketing: Concrete Examples
How often do you take the time to fill out feedback forms or surveys about the products and services you use? If you’re part of a customer marketing team, you know that most people would say “not very often.” This is precisely the plight of the average customer marketer. Up until recently, feedback forms and […]